{"id":18563,"date":"2024-03-11T13:53:45","date_gmt":"2024-03-11T13:53:45","guid":{"rendered":"https:\/\/docs_v3.dataforseo.com\/v3\/?page_id=18563"},"modified":"2026-08-07T16:16:09","modified_gmt":"2026-08-07T16:16:09","slug":"keywords_data-dataforseo_trends-merged_data-live","status":"publish","type":"page","link":"https:\/\/docs.dataforseo.com\/v3\/keywords_data-dataforseo_trends-merged_data-live\/","title":{"rendered":"keywords_data\/dataforseo_trends\/merged_data\/live"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column][vc_column_text]<\/p>\n<h2 id=\"setting-trends-tasks\" style=\"padding-bottom: 25px;\">Setting Live &#8216;DataForSEO Trends Merged Data&#8217; Tasks<\/h2>\n<p>This endpoint will provide you with the keyword popularity data from DataForSEO Trends. In addition to keyword popularity rate over the given time range, you will get location-specific keyword popularity data, and a demographic breakdown of keyword popularity per each specified term along with comparative values.<\/p>\n<p>You can check keyword trends for Google Search, Google News, and Google Shopping.<\/p>\n<p><strong>How our algorithm works:<\/strong> Our algorithm provides insights into the popularity of specific keywords based on their association with relevant web pages, news articles, or shopping listings, as well as the popularity of each relevant piece of content. We also combine this information with anonymous user web behavior data from various sources. <a href=\"https:\/\/dataforseo.com\/help-center\/algorithm-dataforseo-trends-api\" rel=\"noopener noreferrer\" target=\"_blank\">Learn more on our Help Center.<\/a><\/p>\n<p>You will get information for every single keyword in an array.<\/p>\n<p>You can send up to 5 keywords in one\u00a0<code class=\"prettyprint\">keywords<\/code>\u00a0array. Our system will charge your account per each request, no matter what number of keywords an array has.<\/p>\n<p>Historical data for the <code>web<\/code> type: available from <code>2004-01-01<\/code>;<br \/>\nHistorical data for other types: available from <code>2008-01-01<\/code>.<\/p>\n<p>[\/vc_column_text]    <div class=\"endpoint\">\n        <img decoding=\"async\" class=\"endpoint__icon\" src=\"https:\/\/docs.dataforseo.com\/v3\/wp-content\/themes\/dataforseo\/assets\/img\/icons\/checked-circle.svg\" alt=\"checked\">\n\n                    POST            <button class=\"btn-reset button-link copy-button\" data-href=\"https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/merged_data\/live\">\n                https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/merged_data\/live                <svg width=\"16\" height=\"16\" viewBox=\"0 0 16 16\">\n                    <use href=\"https:\/\/docs.dataforseo.com\/v3\/wp-content\/themes\/dataforseo\/assets\/img\/icons\/sprite.svg#layers\"><\/use>\n                <\/svg>\n            <\/button>\n            <\/div>\n    \t<article class=\"info-card info-card--yellow\">\n\t\t<header class=\"info-card__header\">\n\t\t\t<div class=\"info-card__icon\">\n\t\t\t\t<svg width=\"16\" height=\"16\" viewBox=\"0 0 16 16\">\n\t\t\t\t\t<use href=\"https:\/\/docs.dataforseo.com\/v3\/wp-content\/themes\/dataforseo\/assets\/img\/icons\/sprite.svg#label\"><\/use>\n\t\t\t\t<\/svg>\n\t\t\t<\/div>\n\t\t\t<div class=\"info-card__title\">Pricing<\/div>\n\t\t<\/header>\n\t\t<div class=\"info-card__content\">\n\t\t\t<p> Your account will be charged for each request.<br \/>\nThe cost can be calculated on the <a title=\"Pricing\" href=\"https:\/\/dataforseo.com\/pricing\/keywords-data\/dataforseo-trends-api-pricing\" target=\"_blank\" rel=\"noopener noreferrer\">Pricing<\/a> page.<\/p>\n\t\t<\/div>\n\t<\/article>\n\t[vc_column_text]All POST data should be sent in the <a href=\"https:\/\/en.wikipedia.org\/wiki\/JSON\">JSON<\/a> format (UTF-8 encoding). The task setting is done using the POST method. When setting a task, you should send all task parameters in the task array of the generic POST array. You can send up to 2000 API calls per minute, each Live API call can contain only one task. The maximum number of requests that can be sent simultaneously is limited to 30.<br \/>\n<span style=\"font-weight: 400;\">Visit <\/span><a href=\"https:\/\/dataforseo.com\/help-center\/best-practices-for-handling-keywords-data-api-requests\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">DataForSEO Help Center<\/span><\/a><span style=\"font-weight: 400;\"> to get practical tips for request handling depending on your Keyword Data API payload volume.<\/span><\/p>\n<p>Below you will find a detailed description of the fields you can use for setting a task.<\/p>\n<p><strong>Description of the fields for setting a task:<\/strong><br \/>\n<div class=\"dfs-doc-container dfs-doc-request\"><table><thead><tr><th>Field name<\/th><th>Type<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr data-doc-id=\"keywords\"><td><code>keywords<\/code><\/td><td>array<\/td><td><p><em>keywords<\/em><br><strong>required field<\/strong><br>the maximum number of keywords you can specify: 5<br>avoid symbols and special characters (e.g., UTF symbols, emojis);<br>specifying non-Latin characters, you\u2019ll get data for the countries where they are used<p>learn more about rules and limitations of <code>keyword<\/code> and <code>keywords<\/code> fields in DataForSEO APIs in this <a href=\"https:\/\/dataforseo.com\/help-center\/rules-and-limitations-of-keyword-and-keywords-fields-in-dataforseo-apis\" rel=\"noopener noreferrer\" target=\"_blank\">Help Center article<\/a><\/p><\/td><\/tr><tr data-doc-id=\"location_name\"><td><code>location_name<\/code><\/td><td>string<\/td><td><p><em>full name of search engine location<\/em><br>optional field<br>if you don't use this field, you will recieve global results<br><strong>if you use this field, you don't need to specify <code>location_code<\/code><\/strong><br>you can receive the list of available locations of the search engine with their <code>location_name<\/code> by making a separate request to <code><a href=\"https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations\">https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/a><\/code><br><strong>note that the data will be provided for the country the specified <code>location_name<\/code> belongs to;<\/strong><br>example:<br><code class=\"long-string\">United Kingdom<\/code><\/p><\/td><\/tr><tr data-doc-id=\"location_code\"><td><code>location_code<\/code><\/td><td>integer<\/td><td><p><em>search engine location code<\/em><br>optional field<br>if you don't use this field, you will recieve global results<br><strong>if you use this field, you don't need to specify <code>location_name<\/code><\/strong><br>you can receive the list of available locations of the search engines with their <code>location_code<\/code> by making a separate request to <code><a href=\"https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations\">https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/a><\/code><br><strong>note that the data will be provided for the country the specified <code>location_code<\/code> belongs to;<\/strong><br>example:<br><code class=\"long-string\">2840<\/code><\/p><\/td><\/tr><tr data-doc-id=\"type\"><td><code>type<\/code><\/td><td>string<\/td><td><p><em>dataforseo trends type<\/em><br>optional field<br>if you don't specify this field, the <code>web<\/code> type will be used by default<br>possible values: <code>web<\/code>, <code>news<\/code>, <code>ecommerce<\/code><\/p><\/td><\/tr><tr data-doc-id=\"date_from\"><td><code>date_from<\/code><\/td><td>string<\/td><td><p><em>starting date of the time range<\/em><br>optional field<br>if you don't specify this field, the current day and month of the preceding year will be used by default<br>minimal value for the <code>web<\/code> type: <code>2004-01-01<\/code><br>minimal value for other types: <code>2008-01-01<\/code><br>date format: <code>\"yyyy-mm-dd\"<\/code><br>example:<br><code>\"2019-01-15\"<\/code><\/p><\/td><\/tr><tr data-doc-id=\"date_to\"><td><code>date_to<\/code><\/td><td>string<\/td><td><p><em>ending date of the time range<\/em><br>optional field<br>if you don't specify this field, the today's date will be used by default<br>date format: <code>\"yyyy-mm-dd\"<\/code><br>example:<br><code>\"2019-01-15\"<\/code><\/p><\/td><\/tr><tr data-doc-id=\"time_range\"><td><code>time_range<\/code><\/td><td>string<\/td><td><p><em>preset time ranges<\/em><br>optional field<br>if you specify <code>date_from<\/code> or <code>date_to<\/code> parameters, this field will be ignored when setting a task<br><em>possible values for all <code>type<\/code> parameters:<\/em><br><code>past_4_hours<\/code>, <code>past_day<\/code>, <code>past_7_days<\/code>, <code>past_30_days<\/code>, <code>past_90_days<\/code>, <code>past_12_months<\/code>, <code>past_5_years<\/code><\/p><\/td><\/tr><tr data-doc-id=\"tag\"><td><code>tag<\/code><\/td><td>string<\/td><td><p><em>user-defined task identifier<\/em><br>optional field<br><em>the character limit is 255<\/em><br>you can use this parameter to identify the task and match it with the result<br>you will find the specified <code>tag<\/code> value in the <code>data<\/code> object of the response<\/p><\/td><\/tr><\/tbody><\/table><\/div><br \/>\n\u200c<br \/>\nAs a response of the API server, you will receive <a href=\"https:\/\/en.wikipedia.org\/wiki\/JSON\">JSON<\/a>-encoded data containing a <code>tasks<\/code> array with the information specific to the set tasks.<\/p>\n<p><strong>Description of the fields in the results array:<\/strong><br \/>\n<div class=\"dfs-doc-container dfs-doc-response\"><div class=\"api-block-main\"><div class=\"api-section\"><table><thead><tr><th>Field name<\/th><th>Type<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr data-doc-id=\"version\"><td><code>version<\/code><\/td><td>string<\/td><td><p><em>the current version of the API<\/em><\/p><\/td><\/tr><tr data-doc-id=\"status_code\"><td><code>status_code<\/code><\/td><td>integer<\/td><td><p><i>general status code<\/i><br>you can find the full list of the response codes <a href=\"\/v3\/appendix\/errors\">here<\/a><br><strong>Note:<\/strong> we strongly recommend designing a necessary system for handling related exceptional or error conditions<\/p><\/td><\/tr><tr data-doc-id=\"status_message\"><td><code>status_message<\/code><\/td><td>string<\/td><td><p><em>general informational message<\/em><br>you can find the full list of general informational messages <a href=\"\/v3\/appendix\/errors\">here<\/a><\/p><\/td><\/tr><tr data-doc-id=\"time\"><td><code>time<\/code><\/td><td>string<\/td><td><p><em>execution time, seconds<\/em><\/p><\/td><\/tr><tr data-doc-id=\"cost\"><td><code>cost<\/code><\/td><td>float<\/td><td><p><em>total <i>tasks<\/i> cost, USD<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks_count\"><td><code>tasks_count<\/code><\/td><td>integer<\/td><td><p><em>the number of tasks in the <strong><code>tasks<\/code><\/strong> array<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks_error\"><td><code>tasks_error<\/code><\/td><td>integer<\/td><td><p><em>the number of tasks in the <strong><code>tasks<\/code><\/strong> array returned with an error<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks\"><td><strong><code>tasks<\/code><\/strong><\/td><td>array<\/td><td><p><em>array of tasks<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-id\"><td>&nbsp;&nbsp;&nbsp;&nbsp;<code>id<\/code><\/td><td>string<\/td><td><p><em>task identifier<\/em><br><strong>unique task identifier in our system in the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Universally_unique_identifier\">UUID<\/a> format<\/strong><\/p><\/td><\/tr><tr data-doc-id=\"tasks-status_code\"><td>&nbsp;&nbsp;&nbsp;&nbsp;<code>status_code<\/code><\/td><td>integer<\/td><td><p><em>status code of the task <\/em><br>generated by DataForSEO; can be within the following range: 10000-60000<br>you can find the full list of response codes <a href=\"\/v3\/appendix-errors\/\">here<\/a><\/p><\/td><\/tr><tr data-doc-id=\"tasks-status_message\"><td>&nbsp;&nbsp;&nbsp;&nbsp;<code>status_message<\/code><\/td><td>string<\/td><td><p><em>informational message of the task<\/em><br>you can find the full list of general informational messages <a href=\"\/v3\/appendix-errors\/\">here<\/a><\/p><\/td><\/tr><tr data-doc-id=\"tasks-time\"><td>&nbsp;&nbsp;&nbsp;&nbsp;<code>time<\/code><\/td><td>string<\/td><td><p><em>execution time, seconds<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-cost\"><td>&nbsp;&nbsp;&nbsp;&nbsp;<code>cost<\/code><\/td><td>float<\/td><td><p><em>cost of the task, USD<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result_count\"><td>&nbsp;&nbsp;&nbsp;&nbsp;<code>result_count<\/code><\/td><td>integer<\/td><td><p><em>number of elements in the <code>result<\/code> array<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-path\"><td>&nbsp;&nbsp;&nbsp;&nbsp;<code>path<\/code><\/td><td>array<\/td><td><p><em>URL path<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-data\"><td>&nbsp;&nbsp;&nbsp;&nbsp;<code>data<\/code><\/td><td>object<\/td><td><p><em>contains the same parameters that you specified in the POST request<br><\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result\"><td>&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>result<\/code><\/strong><\/td><td>array<\/td><td><p><em>array of results<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-keywords\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>keywords<\/code><\/td><td>array<\/td><td><p><em>keywords in a POST array<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-type\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>type<\/code><\/td><td>array<\/td><td><p><em>search engine type in a POST array<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-location_code\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>location_code<\/code><\/td><td>integer<\/td><td><p><em>location code in a POST array<\/em><br>if there is no data, then the value is_<code>null<\/code>n<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-language_code\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>language_code<\/code><\/td><td>string<\/td><td><p><em>language code in a POST array<\/em><br>if there is no data, then the value is_<code>null<\/code>n<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-datetime\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>datetime<\/code><\/td><td>string<\/td><td><p><em>date and time when the result was received<\/em><br>in the UTC format: \u201cyyyy-mm-dd hh-mm-ss +00:00\u201d<br>example:<br><code class=\"long-string\">2019-11-15 12:57:46 +00:00<\/code><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-items_count\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>items_count<\/code><\/td><td>integer<\/td><td><p><em>the number of results returned in the <strong><code>items<\/code><\/strong> array<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-items\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>items<\/code><\/td><td>array<\/td><td><p><em>contains keyword popularity and related data<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-dataforseo_trends_graph_element\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>dataforseo_trends_graph_element<\/code><\/strong><\/td><td>object<\/td><td><\/td><\/tr><tr data-doc-id=\"tasks-result-dataforseo_trends_graph_element-position\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>position<\/code><\/td><td>integer<\/td><td><p><em>the alignment of the element<\/em><br>can take the following values: <code>1<\/code>, <code>2<\/code>, <code>3<\/code>, <code>4<\/code>, etc.<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-dataforseo_trends_graph_element-type\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>type<\/code><\/td><td>string<\/td><td><p><em>type of element = <strong>\u2018dataforseo_trends_graph\u2019<\/strong><\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-dataforseo_trends_graph_element-keywords\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>keywords<\/code><\/td><td>array<\/td><td><p><em>relevant keywords<\/em><br>the data included in the <code>dataforseo_trends_graph<\/code> element is based on the keywords listed in this array<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-dataforseo_trends_graph_element-data\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>data<\/code><\/strong><\/td><td>array<\/td><td><p><em>DataForSEO Trends data for the specified parameters<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-dataforseo_trends_graph_element-data-date_from\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>date_from<\/code><\/td><td>string<\/td><td><p><em>start date of the corresponding time range<\/em><br>in the UTC format: \"yyyy-mm-dd\"<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-dataforseo_trends_graph_element-data-date_to\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>date_to<\/code><\/td><td>string<\/td><td><p><em>end date of the corresponding time range<\/em><br>in the UTC format: \"yyyy-mm-dd\"<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-dataforseo_trends_graph_element-data-timestamp\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>timestamp<\/code><\/td><td>integer<\/td><td><p><em>a point in time in the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Unix_time\">Unix time format<\/a><\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-dataforseo_trends_graph_element-data-values\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>values<\/code><\/td><td>array<\/td><td><p><em>relative keyword popularity rate at a specific timestamp<\/em><br><strong>if you specify more than one keyword, the values will be averaged to the highest value across all specified keywords<\/strong><br>a value of <code>100<\/code> is the peak popularity for the term<br>a value of <code>50<\/code> means that the term is half as popular<br>a value of <code>0<\/code> means there was not enough data for this term<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-dataforseo_trends_graph_element-averages\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>averages<\/code><\/td><td>array<\/td><td><p><em><em>keyword popularity values averaged over the whole time range<\/em><\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>subregion_interests_element<\/code><\/strong><\/td><td>object<\/td><td><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-position\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>position<\/code><\/td><td>integer<\/td><td><p><em>the alignment of the element<\/em><br>can take the following values: <code>1<\/code>, <code>2<\/code>, <code>3<\/code>, <code>4<\/code>, etc.<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-type\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>type<\/code><\/td><td>string<\/td><td><p><em>type of element = <strong>\u2018subregion_interests\u2019<\/strong><\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-keywords\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>keywords<\/code><\/td><td>array<\/td><td><p><em>relevant keywords<\/em><br>the data included in the <code>interests<\/code> and <code>interests_comparison<\/code> is based on the keywords listed in this array<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>interests<\/code><\/strong><\/td><td>array<\/td><td><p><em>subregional keyword popuarity data for each specified term<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests-keyword\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>keyword<\/code><\/td><td>string<\/td><td><p><em>relevant keyword<\/em><br>the data included in the <code>values<\/code> element is based on this keyword<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests-values\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>values<\/code><\/strong><\/td><td>array<\/td><td><p><em>contains data on relative keyword popularity by country or region<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests-values-geo_id\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>geo_id<\/code><\/td><td>string<\/td><td><p><em>location identifier<\/em><br>you can use this field for matching obtained results with location parameters specified in the request<br>see the full list of available locations with their <code>geo_id<\/code> <a href=\"\/v3\/keywords_data\/dataforseo_trends\/locations\/\" rel=\"noopener noreferrer\" target=\"_blank\">here<\/a> or by making a separate request to <code><a href=\"https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations\">https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/a><\/code><br>example:<br><code>US-NY<\/code><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests-values-geo_name\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>geo_name<\/code><\/td><td>string<\/td><td><p><em>location name<\/em><br>you can use this field for matching obtained results with location parameters specified in the request<br>see the full list of available locations with their <code>geo_name<\/code> <a href=\"\/v3\/keywords_data\/dataforseo_trends\/locations\/\" rel=\"noopener noreferrer\" target=\"_blank\">here<\/a> or by making a separate request to <code><a href=\"https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations\">https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/a><\/code><br>example:<br><code>Andorra<\/code><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests-values-value\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>value<\/code><\/td><td>integer<\/td><td><p><em>relative keyword popularity rate in a given location<\/em><br>represents location-specific keyword popularity rate over the specified time range;<br>using this <code>value<\/code> you can understand how popular a keyword is in one location compared to another location;<br>calculation: we determine the highest popularity value for the relevant keyword across all locations, and then express all other values as a percentage of that highest value (100);<br>a value of <code>100<\/code> is the highest popularity for the term<br>a value of <code>50<\/code> means that the term is half as popular<br>a value of <code>0<\/code> means there was not enough data for this term<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests_comparison\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>interests_comparison<\/code><\/strong><\/td><td>object<\/td><td><p><em>comparison of data on subregional keyword popularity for the specified parameters<\/em><br>if you specified a single keyword, the value will be <code>null<\/code><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests_comparison-items\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>items<\/code><\/strong><\/td><td>array<\/td><td><p><em>keyword popularity values per location<\/em><br>values in this array represent percentages relative to the maximum value within each region<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests_comparison-items-geo_id\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>geo_id<\/code><\/td><td>string<\/td><td><p><em>location identifier<\/em><br>you can use this field for matching obtained results with location parameters specified in the request<br>see the full list of available locations with their <code>geo_id<\/code> <a href=\"\/v3\/keywords_data\/dataforseo_trends\/locations\/\" rel=\"noopener noreferrer\" target=\"_blank\">here<\/a> or by making a separate request to <code><a href=\"https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations\">https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/a><\/code><br>example:<br><code>US-NY<\/code><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests_comparison-items-geo_name\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>geo_name<\/code><\/td><td>string<\/td><td><p><em>location name<\/em><br>you can use this field for matching obtained results with location parameters specified in the request<br>see the full list of available locations with their <code>geo_name<\/code> <a href=\"\/v3\/keywords_data\/dataforseo_trends\/locations\/\" rel=\"noopener noreferrer\" target=\"_blank\">here<\/a> or by making a separate request to <code><a href=\"https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations\">https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/a><\/code><br>example:<br><code>Andorra<\/code><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests_comparison-items-values\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>values<\/code><\/td><td>array<\/td><td><p><em>keyword popularity rates within a given location<\/em><br>represents location-specific keyword popularity rate over the specified time range;<br>using these values, you can understand which of the specified <code>keywords<\/code> is more popular in the related location; <br>the first value in the array is provided for the first term from the <code>keywords<\/code> array, the second value is provided for the second keyword, and so on;<br>calculation: we determine the highest popularity value across all specified keywords within a given location, and then express the popularity values of each keyword as a percentage of the highest value (100);<br>a value of <code>100<\/code> is the peak popularity for the term<br>a value of <code>50<\/code> means that the term is half as popular<br>a value of <code>0<\/code> means there was not enough data for this term<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests_comparison-absolute_items\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>absolute_items<\/code><\/strong><\/td><td>array<\/td><td><p><em>keyword popularity rates across all locations<\/em><br>values in this array represent percentages relative to the maximum value across all locations<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests_comparison-absolute_items-geo_id\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>geo_id<\/code><\/td><td>string<\/td><td><p><em>location identifier<\/em><br>you can use this field for matching obtained results with location parameters specified in the request<br>see the full list of available locations with their <code>geo_id<\/code> <a href=\"\/v3\/keywords_data\/dataforseo_trends\/locations\/\" rel=\"noopener noreferrer\" target=\"_blank\">here<\/a> or by making a separate request to <code><a href=\"https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations\">https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/a><\/code><br>example:<br><code>US-NY<\/code><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests_comparison-absolute_items-geo_name\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>geo_name<\/code><\/td><td>string<\/td><td><p><em>location name<\/em><br>you can use this field for matching obtained results with location parameters specified in the request<br>see the full list of available locations with their <code>geo_name<\/code> <a href=\"\/v3\/keywords_data\/dataforseo_trends\/locations\/\" rel=\"noopener noreferrer\" target=\"_blank\">here<\/a> or by making a separate request to <code><a href=\"https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations\">https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/a><\/code><br>example:<br><code>Andorra<\/code><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-subregion_interests_element-interests_comparison-absolute_items-values\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>values<\/code><\/td><td>array<\/td><td><p><em>keyword popularity rates relative to all locations<\/em><br>represents location-specific keyword popularity rate over the specified time range;<br>using these values, you can understand how popular each <code>keyword<\/code> is compared to all other keywords across all locations; <br>the first value in the array is provided for the first term from the <code>keywords<\/code> array, the second value is provided for the second keyword, and so on;<br>calculation: we determine the highest popularity value across all keywords across all locations, and then express all other values as a percentage of that highest value (100);<br>a value of <code>100<\/code> is the peak popularity for the term<br>a value of <code>50<\/code> means that the term is half as popular<br>a value of <code>0<\/code> means there was not enough data for this term<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>demography_element<\/code><\/strong><\/td><td>object<\/td><td><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-position\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>position<\/code><\/td><td>integer<\/td><td><p><em>the alignment of the element<\/em><br>can take the following values: <code>1<\/code>, <code>2<\/code>, <code>3<\/code>, <code>4<\/code>, etc.<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-type\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>type<\/code><\/td><td>string<\/td><td><p><em>type of element = <strong>\u2018demography\u2019<\/strong><\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-keywords\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>keywords<\/code><\/td><td>array<\/td><td><p><em>relevant keywords<\/em><br>the data included in the <code>demography<\/code> and <code>demography_comparison<\/code> is based on the keywords listed in this array<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>demography<\/code><\/strong><\/td><td>object<\/td><td><p><em>demographic breakdown of keyword popularity data per each specified term<\/em><br>conains keyword popularity data by age and gender<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography-age\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>age<\/code><\/strong><\/td><td>array<\/td><td><p><em>distribution of keyword popularity by age<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography-age-keyword\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>keyword<\/code><\/td><td>string<\/td><td><p><em>relevant keyword for which demographic data is provided<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography-age-values\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>values<\/code><\/strong><\/td><td>array<\/td><td><p><em>contains age range and corresponding keyword popularity values<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography-age-values-type\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>type<\/code><\/td><td>string<\/td><td><p><em>age range<\/em><br>can take the following values: <code>18-24<\/code>, <code>25-34<\/code>, <code>35-44<\/code>, <code>45-54<\/code>, <code>55-64<\/code><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography-age-values-value\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>value<\/code><\/td><td>integer<\/td><td><p><em>keyword popularity rate within the specified age range<\/em><br>using this <code>value<\/code> you can understand how popular a keyword is within each age range; <br>calculation: we determine the highest popularity value for the relevant keyword across all age groups, and then express all other values as a percentage of that highest value (100);<br>a value of <code>100<\/code> is the highest popularity for the term<br>a value of <code>0<\/code> means there was not enough data for this term<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography-gender\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>gender<\/code><\/strong><\/td><td>array<\/td><td><p><em>distribution of keyword popularity by gender<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography-gender-keyword\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>keyword<\/code><\/td><td>string<\/td><td><p><em>relevant keyword for which demographic data is provided<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography-gender-values\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>values<\/code><\/strong><\/td><td>array<\/td><td><p><em>contains gender and corresponding keyword popularity values<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography-gender-values-type\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>type<\/code><\/td><td>string<\/td><td><p><em>gender category<\/em><br>can take the following values: <code>female<\/code>, <code>male<\/code><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography-gender-values-value\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>value<\/code><\/td><td>integer<\/td><td><p><em>keyword popularity rate within the specified gender category<\/em><br>using this <code>value<\/code> you can understand how popular a keyword is within each gender category;<br>calculation: we determine the highest popularity value for the relevant keyword across all gender categories, and then express all other values as a percentage of that highest value (100);<br>a value of <code>100<\/code> is the highest popularity for the term;<br>a value of <code>0<\/code> means there was not enough data for this term<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography_comparison\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>demography_comparison<\/code><\/strong><\/td><td>object<\/td><td><p><em>comparison of demographic data on keyword popularity for the specified parameters<\/em><br>conains keyword popularity data by age and gender<br>if you specified a single keyword, the value will be <code>null<\/code><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography_comparison-age\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>age<\/code><\/strong><\/td><td>object<\/td><td><p><em>comparison of keyword popularity data by age<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography_comparison-age-$18-24\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>$18-24<\/code><\/td><td>array<\/td><td><p><em>indicates age range and contains corresponding keyword popularity values<\/em><br>contains comparison of keyword popularity for the specified terms within the specified age range<br><strong>variable can take the following values:<\/strong> <code>18-24<\/code>, <code>18-24<\/code>, <code>25-34<\/code>, <code>35-44<\/code>, <code>45-54<\/code>, <code>55-64<\/code>;<br>using the values from this array, you can understand which of the specified <code>keywords<\/code> is more popular within the related age range;<br>the first value in the array is provided for the first term from the <code>keywords<\/code> array, the second value is provided for the second keyword, and so on;<br>calculation: we determine the total popularity value of all keywords within each age range, and then express all other values as a percentage of the total value (100);<br>a value of <code>100<\/code> is the highest popularity for the term<br>a value of <code>0<\/code> means there was not enough data for this term<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography_comparison-gender\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<strong><code>gender<\/code><\/strong><\/td><td>object<\/td><td><p><em>comparison of keyword popularity data by gender<\/em><\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography_comparison-gender-female\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>female<\/code><\/td><td>array<\/td><td><p><em>indicates gender category and contains corresponding keyword popularity values<\/em><br>contains comparison of keyword popularity for the specified terms within the specified gender category;<br>using the values from this array, you can understand which of the specified <code>keywords<\/code> is more popular within the related gender category;<br>the first value in the array is provided for the first term from the <code>keywords<\/code> array, the second value is provided for the second keyword, and so on;<br>calculation: we determine the total popularity value of all keywords within each gender category, and then express all other values as a percentage of the total value (100);<br>a value of <code>100<\/code> is the highest popularity for the term<br>a value of <code>0<\/code> means there was not enough data for this term<\/p><\/td><\/tr><tr data-doc-id=\"tasks-result-demography_element-demography_comparison-gender-male\"><td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<code>male<\/code><\/td><td>array<\/td><td><p><em>indicates gender category and contains corresponding keyword popularity values<\/em><br>contains comparison of keyword popularity for the specified terms within the specified gender category;<br>using the values from this array, you can understand which of the specified <code>keywords<\/code> is more popular within the related gender category;<br>the first value in the array is provided for the first term from the <code>keywords<\/code> array, the second value is provided for the second keyword, and so on;<br>calculation: we determine the total popularity value of all keywords within each gender category, and then express all other values as a percentage of the total value (100);<br>a value of <code>100<\/code> is the highest popularity for the term<br>a value of <code>0<\/code> means there was not enough data for this term<\/p><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div>\n<p>\u200c\u200c[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<blockquote><p>Instead of \u2018login\u2019 and \u2018password\u2019 use your credentials from https:\/\/app.dataforseo.com\/api-access<\/p><\/blockquote><div id=\"curl\" class=\"tab-content example__content\"><div class=\"example__code\"><pre><code class=\"language-bash hljs\"># Instead of &#039;login&#039; and &#039;password&#039; use your credentials from https:\/\/app.dataforseo.com\/api-access \r\nlogin=&quot;login&quot; \r\npassword=&quot;password&quot; \r\ncred=&quot;$(printf ${login}:${password} | base64)&quot; \r\ncurl --location --request POST &quot;https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/merged_data\/live&quot; \r\n--header &quot;Authorization: Basic ${cred}&quot;  \r\n--header &quot;Content-Type: application\/json&quot; \r\n--data-raw &#039;[\r\n    {\r\n        &quot;keywords&quot;: [\r\n            &quot;rugby&quot;,\r\n            &quot;cricket&quot;\r\n        ],\r\n        &quot;date_from&quot;: &quot;2023-01-01&quot;,\r\n        &quot;date_to&quot;: &quot;2024-01-01&quot;,\r\n        &quot;type&quot;: &quot;web&quot;,\r\n        &quot;location_name&quot;: &quot;United States&quot;\r\n    }\r\n]&#039;<\/code><\/pre><\/div><\/div><div id=\"php\" class=\"tab-content example__content\"><div class=\"example__code\"><pre><code class=\"language-php hljs\">&lt;?php\r\n\/\/ You can download this file from here https:\/\/cdn.dataforseo.com\/v3\/examples\/php\/php_RestClient.zip\r\nrequire(&#039;RestClient.php&#039;);\r\n$api_url = &#039;https:\/\/api.dataforseo.com\/&#039;;\r\ntry {\r\n\t\/\/ Instead of &#039;login&#039; and &#039;password&#039; use your credentials from https:\/\/app.dataforseo.com\/api-access\r\n\t$client = new RestClient($api_url, null, &#039;login&#039;, &#039;password&#039;);\r\n} catch (RestClientException $e) {\r\n\techo &quot;n&quot;;\r\n\tprint &quot;HTTP code: {$e-&gt;getHttpCode()}n&quot;;\r\n\tprint &quot;Error code: {$e-&gt;getCode()}n&quot;;\r\n\tprint &quot;Message: {$e-&gt;getMessage()}n&quot;;\r\n\tprint  $e-&gt;getTraceAsString();\r\n\techo &quot;n&quot;;\r\n\texit();\r\n}\r\n$post_array = array();\r\n\/\/ simple way to set a task\r\n$post_array[] = array(\r\n\t&quot;location_name&quot; =&gt; &quot;United States&quot;,\r\n\t&quot;date_from&quot; =&gt; &quot;2023-01-01&quot;,\r\n\t&quot;date_to&quot; =&gt; &quot;2024-01-01&quot;,\r\n\t&quot;type&quot; =&gt; &quot;web&quot;,\r\n\t&quot;keywords&quot; =&gt; array(\r\n\t\t&quot;rugby&quot;,\r\n\t\t&quot;cricket&quot;\r\n\t)\r\n);\r\ntry {\r\n\t\/\/ POST \/v3\/keywords_data\/dataforseo_trends\/merged_data\/live\r\n\t$result = $client-&gt;post(&#039;\/v3\/keywords_data\/dataforseo_trends\/merged_data\/live&#039;, $post_array);\r\n\tprint_r($result);\r\n\t\/\/ do something with post result\r\n} catch (RestClientException $e) {\r\n\techo &quot;n&quot;;\r\n\tprint &quot;HTTP code: {$e-&gt;getHttpCode()}n&quot;;\r\n\tprint &quot;Error code: {$e-&gt;getCode()}n&quot;;\r\n\tprint &quot;Message: {$e-&gt;getMessage()}n&quot;;\r\n\tprint  $e-&gt;getTraceAsString();\r\n\techo &quot;n&quot;;\r\n}\r\n$client = null;\r\n?&gt;<\/code><\/pre><\/div><\/div><div id=\"javascript\" class=\"tab-content example__content\"><div class=\"example__code\"><pre><code class=\"language-javascript hljs\">const post_array = [];\r\n\r\npost_array.push({\r\n  &quot;location_name&quot;: &quot;United States&quot;,\r\n  &quot;date_from&quot;: &quot;2019-01-01&quot;,\r\n  &quot;date_to&quot;: &quot;2020-01-01&quot;,\r\n  &quot;type&quot;: &quot;web&quot;,\r\n  &quot;category_code&quot;: 3,\r\n  &quot;keywords&quot;: [&quot;rugby&quot;, &quot;cricket&quot;]\r\n});\r\n\r\nconst axios = require(&#039;axios&#039;);\r\n\r\naxios({\r\n  method: &#039;post&#039;,\r\n  url: &#039;https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/merged_data\/live&#039;,\r\n  auth: {\r\n    username: &#039;login&#039;,\r\n    password: &#039;password&#039;\r\n  },\r\n  data: post_array,\r\n  headers: {\r\n    &#039;content-type&#039;: &#039;application\/json&#039;\r\n  }\r\n}).then(function (response) {\r\n  var result = response[&#039;data&#039;][&#039;tasks&#039;];\r\n  \/\/ Result data\r\n  console.log(result);\r\n}).catch(function (error) {\r\n  console.log(error);\r\n});<\/code><\/pre><\/div><\/div><div id=\"python\" class=\"tab-content example__content\"><div class=\"example__code\"><pre><code class=\"language-python hljs\">from client import RestClient\r\n# You can download this file from here https:\/\/cdn.dataforseo.com\/v3\/examples\/python\/python_Client.zip\r\nclient = RestClient(&quot;login&quot;, &quot;password&quot;)\r\npost_data = dict()\r\n# simple way to set a task\r\npost_data[len(post_data)] = dict(\r\n    location_name=&quot;United States&quot;,\r\n    date_from=&quot;2023-01-01&quot;,\r\n    date_to=&quot;2024-01-01&quot;,\r\n    type=&quot;web&quot;,\r\n    keywords=[\r\n        &quot;rugby&quot;,\r\n        &quot;cricket&quot;\r\n    ]\r\n)\r\n# POST \/v3\/keywords_data\/dataforseo_trends\/merged_data\/live\r\n# the full list of possible parameters is available in documentation\r\nresponse = client.post(&quot;\/v3\/keywords_data\/dataforseo_trends\/merged_data\/live&quot;, post_data)\r\n# you can find the full list of the response codes here https:\/\/docs.dataforseo.com\/v3\/appendix\/errors\r\nif response[&quot;status_code&quot;] == 20000:\r\n    print(response)\r\n    # do something with result\r\nelse:\r\n    print(&quot;error. Code: %d Message: %s&quot; % (response[&quot;status_code&quot;], response[&quot;status_message&quot;]))<\/code><\/pre><\/div><\/div><div id=\"csharp\" class=\"tab-content example__content\"><div class=\"example__code\"><pre><code class=\"language-csharp hljs\">using Newtonsoft.Json;\r\nusing System;\r\nusing System.Collections.Generic;\r\nusing System.Net.Http;\r\nusing System.Net.Http.Headers;\r\nusing System.Text;\r\nusing System.Threading.Tasks;\r\n\r\nnamespace DataForSeoDemos\r\n{\r\n    public static partial class Demos\r\n    {\r\n        public static async Task keywords_data_trends_explore_live()\r\n        {\r\n            var httpClient = new HttpClient\r\n            {\r\n                BaseAddress = new Uri(&quot;https:\/\/api.dataforseo.com\/&quot;),\r\n                \/\/ Instead of &#039;login&#039; and &#039;password&#039; use your credentials from https:\/\/app.dataforseo.com\/api-access\r\n                DefaultRequestHeaders = { Authorization = new AuthenticationHeaderValue(&quot;Basic&quot;, Convert.ToBase64String(Encoding.ASCII.GetBytes(&quot;login:password&quot;))) }\r\n            };\r\n            var postData = new List&lt;object&gt;();\r\n            postData.Add(new\r\n            {\r\n                location_name = &quot;United States&quot;,\r\n                date_from = &quot;2023-01-01&quot;,\r\n                date_to = &quot;2024-01-01&quot;,\r\n                type = &quot;web&quot;,\r\n                keywords = new[]\r\n                {\r\n                    &quot;rugby&quot;,\r\n                    &quot;cricket&quot;\r\n                }\r\n            });\r\n            \/\/ POST \/v3\/keywords_data\/dataforseo_trends\/merged_data\/live\r\n            \/\/ the full list of possible parameters is available in documentation\r\n            var taskPostResponse = await httpClient.PostAsync(&quot;\/v3\/keywords_data\/dataforseo_trends\/merged_data\/live&quot;, new StringContent(JsonConvert.SerializeObject(postData)));\r\n            var result = JsonConvert.DeserializeObject(await taskPostResponse.Content.ReadAsStringAsync());\r\n            \/\/ you can find the full list of the response codes here https:\/\/docs.dataforseo.com\/v3\/appendix\/errors\r\n            if (result.status_code == 20000)\r\n            {\r\n                \/\/ do something with result\r\n                Console.WriteLine(result);\r\n            }\r\n            else\r\n                Console.WriteLine($&quot;error. Code: {result.status_code} Message: {result.status_message}&quot;);\r\n        }\r\n    }\r\n}<\/code><\/pre><\/div><\/div><blockquote><p>The above command returns JSON structured like this:<\/p><\/blockquote><div class=\"example example--json\"><div class=\"example__content\"><div class=\"example__code example__code-json\"><pre><code class=\"language-json hljs\">{\r\n    &quot;version&quot;: &quot;0.1.20231117&quot;,\r\n    &quot;status_code&quot;: 20000,\r\n    &quot;status_message&quot;: &quot;Ok.&quot;,\r\n    &quot;time&quot;: &quot;0.6291 sec.&quot;,\r\n    &quot;cost&quot;: 0.005,\r\n    &quot;tasks_count&quot;: 1,\r\n    &quot;tasks_error&quot;: 0,\r\n    &quot;tasks&quot;: [\r\n        {\r\n            &quot;id&quot;: &quot;03121401-1535-0575-0000-972fd45034ab&quot;,\r\n            &quot;status_code&quot;: 20000,\r\n            &quot;status_message&quot;: &quot;Ok.&quot;,\r\n            &quot;time&quot;: &quot;0.5700 sec.&quot;,\r\n            &quot;cost&quot;: 0.005,\r\n            &quot;result_count&quot;: 1,\r\n            &quot;path&quot;: [\r\n                &quot;v3&quot;,\r\n                &quot;keywords_data&quot;,\r\n                &quot;dataforseo_trends&quot;,\r\n                &quot;merged_data&quot;,\r\n                &quot;live&quot;\r\n            ],\r\n            &quot;data&quot;: {\r\n                &quot;api&quot;: &quot;keywords_data&quot;,\r\n                &quot;function&quot;: &quot;merged_data&quot;,\r\n                &quot;se&quot;: &quot;dataforseo_trends&quot;,\r\n                &quot;keywords&quot;: [\r\n                    &quot;rugby&quot;,\r\n                    &quot;cricket&quot;\r\n                ],\r\n                &quot;date_from&quot;: &quot;2023-01-01&quot;,\r\n                &quot;date_to&quot;: &quot;2024-01-01&quot;,\r\n                &quot;type&quot;: &quot;web&quot;,\r\n                &quot;location_name&quot;: &quot;United States&quot;\r\n            },\r\n            &quot;result&quot;: [\r\n                {\r\n                    &quot;keywords&quot;: [\r\n                        &quot;rugby&quot;,\r\n                        &quot;cricket&quot;\r\n                    ],\r\n                    &quot;type&quot;: &quot;trends&quot;,\r\n                    &quot;location_code&quot;: 2840,\r\n                    &quot;language_code&quot;: null,\r\n                    &quot;datetime&quot;: &quot;2024-03-12 12:01:58 +00:00&quot;,\r\n                    &quot;items_count&quot;: 3,\r\n                    &quot;items&quot;: [\r\n                        {\r\n                            &quot;position&quot;: 1,\r\n                            &quot;type&quot;: &quot;dataforseo_trends_graph&quot;,\r\n                            &quot;keywords&quot;: [\r\n                                &quot;rugby&quot;,\r\n                                &quot;cricket&quot;\r\n                            ],\r\n                            &quot;data&quot;: [\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-01-01&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-01-07&quot;,\r\n                                    &quot;timestamp&quot;: 1672531200,\r\n                                    &quot;values&quot;: [\r\n                                        4,\r\n                                        28\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-01-08&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-01-14&quot;,\r\n                                    &quot;timestamp&quot;: 1673136000,\r\n                                    &quot;values&quot;: [\r\n                                        7,\r\n                                        32\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-01-15&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-01-21&quot;,\r\n                                    &quot;timestamp&quot;: 1673740800,\r\n                                    &quot;values&quot;: [\r\n                                        6,\r\n                                        27\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-01-22&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-01-28&quot;,\r\n                                    &quot;timestamp&quot;: 1674345600,\r\n                                    &quot;values&quot;: [\r\n                                        7,\r\n                                        36\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-01-29&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-02-04&quot;,\r\n                                    &quot;timestamp&quot;: 1674950400,\r\n                                    &quot;values&quot;: [\r\n                                        7,\r\n                                        22\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-02-05&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-02-11&quot;,\r\n                                    &quot;timestamp&quot;: 1675555200,\r\n                                    &quot;values&quot;: [\r\n                                        8,\r\n                                        31\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-02-12&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-02-18&quot;,\r\n                                    &quot;timestamp&quot;: 1676160000,\r\n                                    &quot;values&quot;: [\r\n                                        7,\r\n                                        25\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-02-19&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-02-25&quot;,\r\n                                    &quot;timestamp&quot;: 1676764800,\r\n                                    &quot;values&quot;: [\r\n                                        10,\r\n                                        28\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-02-26&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-03-04&quot;,\r\n                                    &quot;timestamp&quot;: 1677369600,\r\n                                    &quot;values&quot;: [\r\n                                        7,\r\n                                        30\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-03-05&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-03-11&quot;,\r\n                                    &quot;timestamp&quot;: 1677974400,\r\n                                    &quot;values&quot;: [\r\n                                        9,\r\n                                        31\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-03-12&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-03-18&quot;,\r\n                                    &quot;timestamp&quot;: 1678579200,\r\n                                    &quot;values&quot;: [\r\n                                        10,\r\n                                        31\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-03-19&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-03-25&quot;,\r\n                                    &quot;timestamp&quot;: 1679184000,\r\n                                    &quot;values&quot;: [\r\n                                        6,\r\n                                        34\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-03-26&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-04-01&quot;,\r\n                                    &quot;timestamp&quot;: 1679788800,\r\n                                    &quot;values&quot;: [\r\n                                        9,\r\n                                        25\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-04-02&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-04-08&quot;,\r\n                                    &quot;timestamp&quot;: 1680393600,\r\n                                    &quot;values&quot;: [\r\n                                        7,\r\n                                        32\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-04-09&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-04-15&quot;,\r\n                                    &quot;timestamp&quot;: 1680998400,\r\n                                    &quot;values&quot;: [\r\n                                        8,\r\n                                        26\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-04-16&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-04-22&quot;,\r\n                                    &quot;timestamp&quot;: 1681603200,\r\n                                    &quot;values&quot;: [\r\n                                        7,\r\n                                        30\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-04-23&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-04-29&quot;,\r\n                                    &quot;timestamp&quot;: 1682208000,\r\n                                    &quot;values&quot;: [\r\n                                        6,\r\n                                        35\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-04-30&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-05-06&quot;,\r\n                                    &quot;timestamp&quot;: 1682812800,\r\n                                    &quot;values&quot;: [\r\n                                        7,\r\n                                        32\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-05-07&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-05-13&quot;,\r\n                                    &quot;timestamp&quot;: 1683417600,\r\n                                    &quot;values&quot;: [\r\n                                        8,\r\n                                        29\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-05-14&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-05-20&quot;,\r\n                                    &quot;timestamp&quot;: 1684022400,\r\n                                    &quot;values&quot;: [\r\n                                        7,\r\n                                        25\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-05-21&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-05-27&quot;,\r\n                                    &quot;timestamp&quot;: 1684627200,\r\n                                    &quot;values&quot;: [\r\n                                        5,\r\n                                        23\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-05-28&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-06-03&quot;,\r\n                                    &quot;timestamp&quot;: 1685232000,\r\n                                    &quot;values&quot;: [\r\n                                        9,\r\n                                        29\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-06-04&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-06-10&quot;,\r\n                                    &quot;timestamp&quot;: 1685836800,\r\n                                    &quot;values&quot;: [\r\n                                        8,\r\n                                        37\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-06-11&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-06-17&quot;,\r\n                                    &quot;timestamp&quot;: 1686441600,\r\n                                    &quot;values&quot;: [\r\n                                        7,\r\n                                        31\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-06-18&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-06-24&quot;,\r\n                                    &quot;timestamp&quot;: 1687046400,\r\n                                    &quot;values&quot;: [\r\n                                        8,\r\n                                        36\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-06-25&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-07-01&quot;,\r\n                                    &quot;timestamp&quot;: 1687651200,\r\n                                    &quot;values&quot;: [\r\n                                        8,\r\n                                        31\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-07-02&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-07-08&quot;,\r\n                                    &quot;timestamp&quot;: 1688256000,\r\n                                    &quot;values&quot;: [\r\n                                        5,\r\n                                        29\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-07-09&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-07-15&quot;,\r\n                                    &quot;timestamp&quot;: 1688860800,\r\n                                    &quot;values&quot;: [\r\n                                        4,\r\n                                        35\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-07-16&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-07-22&quot;,\r\n                                    &quot;timestamp&quot;: 1689465600,\r\n                                    &quot;values&quot;: [\r\n                                        7,\r\n                                        31\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-07-23&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-07-29&quot;,\r\n                                    &quot;timestamp&quot;: 1690070400,\r\n                                    &quot;values&quot;: [\r\n                                        6,\r\n                                        27\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-07-30&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-08-05&quot;,\r\n                                    &quot;timestamp&quot;: 1690675200,\r\n                                    &quot;values&quot;: [\r\n                                        11,\r\n                                        29\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-08-06&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-08-12&quot;,\r\n                                    &quot;timestamp&quot;: 1691280000,\r\n                                    &quot;values&quot;: [\r\n                                        9,\r\n                                        26\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-08-13&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-08-19&quot;,\r\n                                    &quot;timestamp&quot;: 1691884800,\r\n                                    &quot;values&quot;: [\r\n                                        8,\r\n                                        24\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-08-20&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-08-26&quot;,\r\n                                    &quot;timestamp&quot;: 1692489600,\r\n                                    &quot;values&quot;: [\r\n                                        8,\r\n                                        31\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-08-27&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-09-02&quot;,\r\n                                    &quot;timestamp&quot;: 1693094400,\r\n                                    &quot;values&quot;: [\r\n                                        10,\r\n                                        48\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-09-03&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-09-09&quot;,\r\n                                    &quot;timestamp&quot;: 1693699200,\r\n                                    &quot;values&quot;: [\r\n                                        21,\r\n                                        44\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-09-10&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-09-16&quot;,\r\n                                    &quot;timestamp&quot;: 1694304000,\r\n                                    &quot;values&quot;: [\r\n                                        23,\r\n                                        58\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-09-17&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-09-23&quot;,\r\n                                    &quot;timestamp&quot;: 1694908800,\r\n                                    &quot;values&quot;: [\r\n                                        22,\r\n                                        45\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-09-24&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-09-30&quot;,\r\n                                    &quot;timestamp&quot;: 1695513600,\r\n                                    &quot;values&quot;: [\r\n                                        22,\r\n                                        48\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-10-01&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-10-07&quot;,\r\n                                    &quot;timestamp&quot;: 1696118400,\r\n                                    &quot;values&quot;: [\r\n                                        18,\r\n                                        67\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-10-08&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-10-14&quot;,\r\n                                    &quot;timestamp&quot;: 1696723200,\r\n                                    &quot;values&quot;: [\r\n                                        23,\r\n                                        100\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-10-15&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-10-21&quot;,\r\n                                    &quot;timestamp&quot;: 1697328000,\r\n                                    &quot;values&quot;: [\r\n                                        32,\r\n                                        80\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-10-22&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-10-28&quot;,\r\n                                    &quot;timestamp&quot;: 1697932800,\r\n                                    &quot;values&quot;: [\r\n                                        22,\r\n                                        80\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-10-29&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-11-04&quot;,\r\n                                    &quot;timestamp&quot;: 1698537600,\r\n                                    &quot;values&quot;: [\r\n                                        17,\r\n                                        77\r\n                                    ]\r\n                                },\r\n                                {\r\n                                    &quot;date_from&quot;: &quot;2023-11-05&quot;,\r\n                                    &quot;date_to&quot;: &quot;2023-11-11&quot;,\r\n                                    &quot;timestamp&quot;: 1699142400,\r\n                                    &quot;values&quot;: [\r\n                                        7,\r\n                                        75\r\n          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            &quot;geo_name&quot;: &quot;Texas&quot;,\r\n                                            &quot;value&quot;: 70\r\n                                        },\r\n                                        {\r\n                                            &quot;geo_id&quot;: null,\r\n                                            &quot;geo_name&quot;: &quot;Utah&quot;,\r\n                                            &quot;value&quot;: 28\r\n                                        },\r\n                                        {\r\n                                            &quot;geo_id&quot;: null,\r\n                                            &quot;geo_name&quot;: &quot;Vermont&quot;,\r\n                                            &quot;value&quot;: 53\r\n                                        },\r\n                                        {\r\n                                            &quot;geo_id&quot;: null,\r\n                                            &quot;geo_name&quot;: &quot;Virginia&quot;,\r\n                                            &quot;value&quot;: 64\r\n                                        },\r\n                                        {\r\n                                            &quot;geo_id&quot;: null,\r\n                                            &quot;geo_name&quot;: &quot;Washington&quot;,\r\n                                            &quot;value&quot;: 39\r\n                                        },\r\n                                        {\r\n                                            &quot;geo_id&quot;: null,\r\n                                            &quot;geo_name&quot;: &quot;West Virginia&quot;,\r\n                                            &quot;value&quot;: 27\r\n                                        },\r\n                                        {\r\n                                            &quot;geo_id&quot;: null,\r\n                                            &quot;geo_name&quot;: &quot;Wisconsin&quot;,\r\n                                            &quot;value&quot;: 41\r\n                                        },\r\n                                        {\r\n                                            &quot;geo_id&quot;: null,\r\n                                            &quot;geo_name&quot;: &quot;Wyoming&quot;,\r\n                                            &quot;value&quot;: 9\r\n                                        }\r\n                                    ]\r\n                                }\r\n                            ],\r\n                            &quot;interests_comparison&quot;: {\r\n                                &quot;items&quot;: [\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Alabama&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            23,\r\n                                            77\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Alaska&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            0,\r\n                                            100\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Arizona&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            13,\r\n                                            87\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Arkansas&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            37,\r\n                                            63\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;California&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            24,\r\n                                            76\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                 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&quot;geo_name&quot;: &quot;Delaware&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            10,\r\n                                            90\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;District of Columbia&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            26,\r\n                                            74\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Florida&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            16,\r\n                                            84\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Georgia&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            11,\r\n                                            89\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Hawaii&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            52,\r\n                                            48\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Idaho&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            38,\r\n                                            62\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Illinois&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            22,\r\n                                            78\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Indiana&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            21,\r\n                                            79\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Iowa&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            22,\r\n                                            78\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Kansas&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            9,\r\n                                            91\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Kentucky&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            8,\r\n                                            92\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Louisiana&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            22,\r\n                                            78\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Maine&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            29,\r\n                                            71\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Maryland&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            16,\r\n                                            84\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Massachusetts&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            24,\r\n                                            76\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Michigan&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            17,\r\n                                            83\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Minnesota&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            8,\r\n                                            92\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Mississippi&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            5,\r\n                                            95\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Missouri&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            11,\r\n                                            89\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Montana&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            38,\r\n                                            63\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Nebraska&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            29,\r\n                                            71\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Nevada&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            42,\r\n                                            58\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;New Hampshire&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            49,\r\n                                            51\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;New Jersey&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            18,\r\n                                            82\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;New Mexico&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            18,\r\n                                            82\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;New York&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            24,\r\n                                            76\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;North Carolina&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            28,\r\n                                            72\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;North Dakota&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            22,\r\n                                            78\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Ohio&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            23,\r\n                                            77\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Oklahoma&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            16,\r\n                                            84\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Oregon&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            26,\r\n                                            74\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Pennsylvania&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            21,\r\n                                            79\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Rhode Island&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            42,\r\n                                            58\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;South Carolina&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            19,\r\n                                            81\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;South Dakota&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            0,\r\n                                            100\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Tennessee&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            11,\r\n                                            89\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Texas&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            10,\r\n                                            90\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Utah&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            31,\r\n                                            69\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Vermont&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            26,\r\n                                            74\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Virginia&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            24,\r\n                                            76\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Washington&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            25,\r\n                                            75\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;West Virginia&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            13,\r\n                                            88\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Wisconsin&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            29,\r\n                                            71\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Wyoming&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            50,\r\n                                            50\r\n                                        ]\r\n                                    }\r\n                                ],\r\n                                &quot;absolute_items&quot;: [\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Alabama&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            10,\r\n                                            33\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Alaska&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            0,\r\n                                            22\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Arizona&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            11,\r\n                                            74\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Arkansas&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            32,\r\n                                            54\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;California&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            15,\r\n                                            47\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Colorado&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            15,\r\n                                            32\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Connecticut&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            11,\r\n                                            41\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Delaware&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            5,\r\n                                            43\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;District of Columbia&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            29,\r\n                                            83\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Florida&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            9,\r\n                                            46\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Georgia&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            7,\r\n                                            59\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Hawaii&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            14,\r\n                                            13\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Idaho&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            16,\r\n                                            26\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Illinois&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            14,\r\n                                            50\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Indiana&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            14,\r\n                                            53\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Iowa&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            10,\r\n                                            35\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Kansas&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            6,\r\n                                            62\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Kentucky&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            4,\r\n                                            48\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Louisiana&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            12,\r\n                                            42\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Maine&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            17,\r\n                                            44\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Maryland&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            9,\r\n                                            48\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Massachusetts&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            16,\r\n                                            50\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Michigan&quot;,\r\n                                       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                     68\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Missouri&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            9,\r\n                                            75\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Montana&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            18,\r\n                                            29\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Nebraska&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            14,\r\n                                            36\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Nevada&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            25,\r\n                                            34\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;New Hampshire&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            33,\r\n                                            34\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;New Jersey&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            17,\r\n                                            78\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;New Mexico&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            6,\r\n                                            29\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;New York&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            18,\r\n                                            58\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;North Carolina&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            19,\r\n                                            51\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;North Dakota&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            29,\r\n                                            100\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Ohio&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            15,\r\n                                            50\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Oklahoma&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            11,\r\n                                            60\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Oregon&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            12,\r\n                                            35\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Pennsylvania&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            13,\r\n                                            49\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Rhode Island&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            28,\r\n                                            38\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;South Carolina&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            12,\r\n                                            51\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;South Dakota&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            0,\r\n                                            47\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Tennessee&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            7,\r\n                                            52\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Texas&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            8,\r\n                                            70\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Utah&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            13,\r\n                                            28\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Vermont&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            19,\r\n                                            53\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Virginia&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            20,\r\n                                            64\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Washington&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            13,\r\n                                            39\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;West Virginia&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            4,\r\n                                            27\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Wisconsin&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            17,\r\n                                            41\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;geo_id&quot;: null,\r\n                                        &quot;geo_name&quot;: &quot;Wyoming&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            9,\r\n                                            9\r\n                                        ]\r\n                                    }\r\n                                ]\r\n                            }\r\n                        },\r\n                        {\r\n                            &quot;position&quot;: 3,\r\n                            &quot;type&quot;: &quot;demography&quot;,\r\n                            &quot;keywords&quot;: [\r\n                                &quot;rugby&quot;,\r\n                                &quot;cricket&quot;\r\n                            ],\r\n                            &quot;demography&quot;: {\r\n                                &quot;age&quot;: [\r\n                                    {\r\n                                        &quot;keyword&quot;: &quot;rugby&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            {\r\n                                                &quot;type&quot;: &quot;18-24&quot;,\r\n                                                &quot;value&quot;: 73\r\n                                            },\r\n                                            {\r\n                                                &quot;type&quot;: &quot;25-34&quot;,\r\n                                                &quot;value&quot;: 87\r\n                                            },\r\n                                            {\r\n                                                &quot;type&quot;: &quot;35-44&quot;,\r\n                                                &quot;value&quot;: 91\r\n                                            },\r\n                                            {\r\n                                                &quot;type&quot;: &quot;45-54&quot;,\r\n                                                &quot;value&quot;: 100\r\n                                            },\r\n                                            {\r\n                                                &quot;type&quot;: &quot;55-64&quot;,\r\n                                                &quot;value&quot;: 49\r\n                                            }\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;keyword&quot;: &quot;cricket&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            {\r\n                                                &quot;type&quot;: &quot;18-24&quot;,\r\n                                                &quot;value&quot;: 42\r\n                                            },\r\n                                            {\r\n                                                &quot;type&quot;: &quot;25-34&quot;,\r\n                                                &quot;value&quot;: 79\r\n                                            },\r\n                                            {\r\n                                                &quot;type&quot;: &quot;35-44&quot;,\r\n                                                &quot;value&quot;: 100\r\n                                            },\r\n                                            {\r\n                                                &quot;type&quot;: &quot;45-54&quot;,\r\n                                                &quot;value&quot;: 74\r\n                                            },\r\n                                            {\r\n                                                &quot;type&quot;: &quot;55-64&quot;,\r\n                                                &quot;value&quot;: 39\r\n                                            }\r\n                                        ]\r\n                                    }\r\n                                ],\r\n                                &quot;gender&quot;: [\r\n                                    {\r\n                                        &quot;keyword&quot;: &quot;rugby&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            {\r\n                                                &quot;type&quot;: &quot;female&quot;,\r\n                                                &quot;value&quot;: 79\r\n                                            },\r\n                                            {\r\n                                                &quot;type&quot;: &quot;male&quot;,\r\n                                                &quot;value&quot;: 100\r\n                                            }\r\n                                        ]\r\n                                    },\r\n                                    {\r\n                                        &quot;keyword&quot;: &quot;cricket&quot;,\r\n                                        &quot;values&quot;: [\r\n                                            {\r\n                                                &quot;type&quot;: &quot;female&quot;,\r\n                                                &quot;value&quot;: 83\r\n                                            },\r\n                                            {\r\n                                                &quot;type&quot;: &quot;male&quot;,\r\n                                                &quot;value&quot;: 100\r\n                                            }\r\n                                        ]\r\n                                    }\r\n                                ]\r\n                            },\r\n                            &quot;demography_comparison&quot;: {\r\n                                &quot;age&quot;: {\r\n                                    &quot;18-24&quot;: [\r\n                                        30,\r\n                                        70\r\n                                    ],\r\n                                    &quot;25-34&quot;: [\r\n                                        22,\r\n                                        78\r\n                                    ],\r\n                                    &quot;35-44&quot;: [\r\n                                        18,\r\n                                        82\r\n                                    ],\r\n                                    &quot;45-54&quot;: [\r\n                                        25,\r\n                                        75\r\n                                    ],\r\n                                    &quot;55-64&quot;: [\r\n                                        24,\r\n                                        76\r\n                                    ]\r\n                                },\r\n                                &quot;gender&quot;: {\r\n                                    &quot;female&quot;: [\r\n                                        20,\r\n                                        80\r\n                                    ],\r\n                                    &quot;male&quot;: [\r\n                                        20,\r\n                                        80\r\n                                    ]\r\n                                }\r\n                            }\r\n                        }\r\n                    ]\r\n                }\r\n            ]\r\n        }\r\n    ]\r\n}<\/code><\/pre><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_column_text] Setting Live &#8216;DataForSEO Trends Merged Data&#8217; Tasks This endpoint will provide you with the keyword popularity data from DataForSEO Trends. In addition to keyword popularity rate over the given time range, you will get location-specific keyword popularity data, and a demographic breakdown of keyword popularity per each specified term along with comparative values. You [&hellip;]<\/p>\n","protected":false},"author":17,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template.php","meta":{"apibase_doc_request_yaml":"parameters:\n  - name: keywords\n    type: array\n    description: |\n      <em>keywords<\/em><br><strong>required field<\/strong><br>the maximum number of keywords you can specify: 5<br>avoid symbols and special characters (e.g., UTF symbols, emojis);<br>specifying non-Latin characters, you\u2019ll get data for the countries where they are used<p>learn more about rules and limitations of <code>keyword<\/code> and <code>keywords<\/code> fields in DataForSEO APIs in this <a href=\"https:\/\/dataforseo.com\/help-center\/rules-and-limitations-of-keyword-and-keywords-fields-in-dataforseo-apis\" rel=\"noopener noreferrer\" target=\"_blank\">Help Center article<\/a>\n  - name: location_name\n    type: string\n    description: |\n      <em>full name of search engine location<\/em><br>optional field<br>if you don't use this field, you will recieve global results<br><strong>if you use this field, you don't need to specify <code>location_code<\/code><\/strong><br>you can receive the list of available locations of the search engine with their <code>location_name<\/code> by making a separate request to <code>https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/code><br><strong>note that the data will be provided for the country the specified <code>location_name<\/code> belongs to;<\/strong><br>example:<br><code class=\"long-string\">United Kingdom<\/code>\n  - name: location_code\n    type: integer\n    description: |\n      <em>search engine location code<\/em><br>optional field<br>if you don't use this field, you will recieve global results<br><strong>if you use this field, you don't need to specify <code>location_name<\/code><\/strong><br>you can receive the list of available locations of the search engines with their <code>location_code<\/code> by making a separate request to <code>https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/code><br><strong>note that the data will be provided for the country the specified <code>location_code<\/code> belongs to;<\/strong><br>example:<br><code class=\"long-string\">2840<\/code>\n  - name: type\n    type: string\n    description: |\n      <em>dataforseo trends type<\/em><br>optional field<br>if you don't specify this field, the <code>web<\/code> type will be used by default<br>possible values: <code>web<\/code>, <code>news<\/code>, <code>ecommerce<\/code>\n  - name: date_from\n    type: string\n    description: |\n      <em>starting date of the time range<\/em><br>optional field<br>if you don't specify this field, the current day and month of the preceding year will be used by default<br>minimal value for the <code>web<\/code> type: <code>2004-01-01<\/code><br>minimal value for other types: <code>2008-01-01<\/code><br>date format: <code>\"yyyy-mm-dd\"<\/code><br>example:<br><code>\"2019-01-15\"<\/code>\n  - name: date_to\n    type: string\n    description: |\n      <em>ending date of the time range<\/em><br>optional field<br>if you don't specify this field, the today's date will be used by default<br>date format: <code>\"yyyy-mm-dd\"<\/code><br>example:<br><code>\"2019-01-15\"<\/code>\n  - name: time_range\n    type: string\n    description: |\n      <em>preset time ranges<\/em><br>optional field<br>if you specify <code>date_from<\/code> or <code>date_to<\/code> parameters, this field will be ignored when setting a task<br><em>possible values for all <code>type<\/code> parameters:<\/em><br><code>past_4_hours<\/code>, <code>past_day<\/code>, <code>past_7_days<\/code>, <code>past_30_days<\/code>, <code>past_90_days<\/code>, <code>past_12_months<\/code>, <code>past_5_years<\/code>\n  - name: tag\n    type: string\n    description: |\n      <em>user-defined task identifier<\/em><br>optional field<br><em>the character limit is 255<\/em><br>you can use this parameter to identify the task and match it with the result<br>you will find the specified <code>tag<\/code> value in the <code>data<\/code> object of the response","apibase_doc_request_additional_yaml":"","apibase_doc_response_yaml":"parameters:\n  - name: version\n    type: string\n    description: |\n      <em>the current version of the API<\/em>\n  - name: status_code\n    type: integer\n    description: |\n      <i>general status code<\/i><br>you can find the full list of the response codes <a href=\"\/v3\/appendix\/errors\">here<\/a><br><strong>Note:<\/strong> we strongly recommend designing a necessary system for handling related exceptional or error conditions\n  - name: status_message\n    type: string\n    description: |\n      <em>general informational message<\/em><br>you can find the full list of general informational messages <a href=\"\/v3\/appendix\/errors\">here<\/a>\n  - name: time\n    type: string\n    description: |\n      <em>execution time, seconds<\/em>\n  - name: cost\n    type: float\n    description: |\n      <em>total <i>tasks<\/i> cost, USD<\/em>\n  - name: tasks_count\n    type: integer\n    description: |\n      <em>the number of tasks in the <strong><code>tasks<\/code><\/strong> array<\/em>\n  - name: tasks_error\n    type: integer\n    description: |\n      <em>the number of tasks in the <strong><code>tasks<\/code><\/strong> array returned with an error<\/em>\n  - name: tasks\n    type: array\n    description: |\n      <em>array of tasks<\/em>\n    items:\n      children:\n        - name: id\n          type: string\n          description: |\n            <em>task identifier<\/em><br><strong>unique task identifier in our system in the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Universally_unique_identifier\">UUID<\/a> format<\/strong>\n        - name: status_code\n          type: integer\n          description: |\n            <em>status code of the task <\/em><br>generated by DataForSEO; can be within the following range: 10000-60000<br>you can find the full list of response codes <a href=\"\/v3\/appendix-errors\/\">here<\/a>\n        - name: status_message\n          type: string\n          description: |\n            <em>informational message of the task<\/em><br>you can find the full list of general informational messages <a href=\"\/v3\/appendix-errors\/\">here<\/a>\n        - name: time\n          type: string\n          description: |\n            <em>execution time, seconds<\/em>\n        - name: cost\n          type: float\n          description: |\n            <em>cost of the task, USD<\/em>\n        - name: result_count\n          type: integer\n          description: |\n            <em>number of elements in the <code>result<\/code> array<\/em>\n        - name: path\n          type: array\n          description: |\n            <em>URL path<\/em>\n        - name: data\n          type: object\n          description: |\n            <em>contains the same parameters that you specified in the POST request<br><\/em>\n        - name: result\n          type: array\n          description: |\n            <em>array of results<\/em>\n          items:\n            children:\n              - name: keywords\n                type: array\n                description: |\n                  <em>keywords in a POST array<\/em>\n              - name: type\n                type: array\n                description: |\n                  <em>search engine type in a POST array<\/em>\n              - name: location_code\n                type: integer\n                description: \"<em>location code in a POST array<\/em><br>if there is no data, then the value is_<code>null<\/code>n\"\n              - name: language_code\n                type: string\n                description: \"<em>language code in a POST array<\/em><br>if there is no data, then the value is_<code>null<\/code>n\"\n              - name: datetime\n                type: string\n                description: |\n                  <em>date and time when the result was received<\/em><br>in the UTC format: \u201cyyyy-mm-dd hh-mm-ss +00:00\u201d<br>example:<br><code class=\"long-string\">2019-11-15 12:57:46 +00:00<\/code>\n              - name: items_count\n                type: integer\n                description: |\n                  <em>the number of results returned in the <strong><code>items<\/code><\/strong> array<\/em>\n              - name: items\n                type: array\n                description: |\n                  <em>contains keyword popularity and related data<\/em>\n              - name: dataforseo_trends_graph_element\n                type: object\n                children:\n                  - name: position\n                    type: integer\n                    description: |\n                      <em>the alignment of the element<\/em><br>can take the following values: <code>1<\/code>, <code>2<\/code>, <code>3<\/code>, <code>4<\/code>, etc.\n                  - name: type\n                    type: string\n                    description: |\n                      <em>type of element = <strong>\u2018dataforseo_trends_graph\u2019<\/strong><\/em>\n                  - name: keywords\n                    type: array\n                    description: |\n                      <em>relevant keywords<\/em><br>the data included in the <code>dataforseo_trends_graph<\/code> element is based on the keywords listed in this array\n                  - name: data\n                    type: array\n                    description: |\n                      <em>DataForSEO Trends data for the specified parameters<\/em>\n                    items:\n                      children:\n                        - name: date_from\n                          type: string\n                          description: |\n                            <em>start date of the corresponding time range<\/em><br>in the UTC format: \"yyyy-mm-dd\"\n                        - name: date_to\n                          type: string\n                          description: |\n                            <em>end date of the corresponding time range<\/em><br>in the UTC format: \"yyyy-mm-dd\"\n                        - name: timestamp\n                          type: integer\n                          description: |\n                            <em>a point in time in the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Unix_time\">Unix time format<\/a><\/em>\n                        - name: values\n                          type: array\n                          description: |\n                            <em>relative keyword popularity rate at a specific timestamp<\/em><br><strong>if you specify more than one keyword, the values will be averaged to the highest value across all specified keywords<\/strong><br>a value of <code>100<\/code> is the peak popularity for the term<br>a value of <code>50<\/code> means that the term is half as popular<br>a value of <code>0<\/code> means there was not enough data for this term\n                  - name: averages\n                    type: array\n                    description: |\n                      <em><em>keyword popularity values averaged over the whole time range<\/em><\/em>\n              - name: subregion_interests_element\n                type: object\n                children:\n                  - name: position\n                    type: integer\n                    description: |\n                      <em>the alignment of the element<\/em><br>can take the following values: <code>1<\/code>, <code>2<\/code>, <code>3<\/code>, <code>4<\/code>, etc.\n                  - name: type\n                    type: string\n                    description: |\n                      <em>type of element = <strong>\u2018subregion_interests\u2019<\/strong><\/em>\n                  - name: keywords\n                    type: array\n                    description: |\n                      <em>relevant keywords<\/em><br>the data included in the <code>interests<\/code> and <code>interests_comparison<\/code> is based on the keywords listed in this array\n                  - name: interests\n                    type: array\n                    description: |\n                      <em>subregional keyword popuarity data for each specified term<\/em>\n                    items:\n                      children:\n                        - name: keyword\n                          type: string\n                          description: |\n                            <em>relevant keyword<\/em><br>the data included in the <code>values<\/code> element is based on this keyword\n                        - name: values\n                          type: array\n                          description: |\n                            <em>contains data on relative keyword popularity by country or region<\/em>\n                          items:\n                            children:\n                              - name: geo_id\n                                type: string\n                                description: |\n                                  <em>location identifier<\/em><br>you can use this field for matching obtained results with location parameters specified in the request<br>see the full list of available locations with their <code>geo_id<\/code> <a href=\"\/v3\/keywords_data\/dataforseo_trends\/locations\/\" rel=\"noopener noreferrer\" target=\"_blank\">here<\/a> or by making a separate request to <code>https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/code><br>example:<br><code>US-NY<\/code>\n                              - name: geo_name\n                                type: string\n                                description: |\n                                  <em>location name<\/em><br>you can use this field for matching obtained results with location parameters specified in the request<br>see the full list of available locations with their <code>geo_name<\/code> <a href=\"\/v3\/keywords_data\/dataforseo_trends\/locations\/\" rel=\"noopener noreferrer\" target=\"_blank\">here<\/a> or by making a separate request to <code>https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/code><br>example:<br><code>Andorra<\/code>\n                              - name: value\n                                type: integer\n                                description: |\n                                  <em>relative keyword popularity rate in a given location<\/em><br>represents location-specific keyword popularity rate over the specified time range;<br>using this <code>value<\/code> you can understand how popular a keyword is in one location compared to another location;<br>calculation: we determine the highest popularity value for the relevant keyword across all locations, and then express all other values as a percentage of that highest value (100);<br>a value of <code>100<\/code> is the highest popularity for the term<br>a value of <code>50<\/code> means that the term is half as popular<br>a value of <code>0<\/code> means there was not enough data for this term\n                  - name: interests_comparison\n                    type: object\n                    description: |\n                      <em>comparison of data on subregional keyword popularity for the specified parameters<\/em><br>if you specified a single keyword, the value will be <code>null<\/code>\n                    children:\n                      - name: items\n                        type: array\n                        description: |\n                          <em>keyword popularity values per location<\/em><br>values in this array represent percentages relative to the maximum value within each region\n                        items:\n                          children:\n                            - name: geo_id\n                              type: string\n                              description: |\n                                <em>location identifier<\/em><br>you can use this field for matching obtained results with location parameters specified in the request<br>see the full list of available locations with their <code>geo_id<\/code> <a href=\"\/v3\/keywords_data\/dataforseo_trends\/locations\/\" rel=\"noopener noreferrer\" target=\"_blank\">here<\/a> or by making a separate request to <code>https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/code><br>example:<br><code>US-NY<\/code>\n                            - name: geo_name\n                              type: string\n                              description: |\n                                <em>location name<\/em><br>you can use this field for matching obtained results with location parameters specified in the request<br>see the full list of available locations with their <code>geo_name<\/code> <a href=\"\/v3\/keywords_data\/dataforseo_trends\/locations\/\" rel=\"noopener noreferrer\" target=\"_blank\">here<\/a> or by making a separate request to <code>https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/code><br>example:<br><code>Andorra<\/code>\n                            - name: values\n                              type: array\n                              description: |\n                                <em>keyword popularity rates within a given location<\/em><br>represents location-specific keyword popularity rate over the specified time range;<br>using these values, you can understand which of the specified <code>keywords<\/code> is more popular in the related location; <br>the first value in the array is provided for the first term from the <code>keywords<\/code> array, the second value is provided for the second keyword, and so on;<br>calculation: we determine the highest popularity value across all specified keywords within a given location, and then express the popularity values of each keyword as a percentage of the highest value (100);<br>a value of <code>100<\/code> is the peak popularity for the term<br>a value of <code>50<\/code> means that the term is half as popular<br>a value of <code>0<\/code> means there was not enough data for this term\n                      - name: absolute_items\n                        type: array\n                        description: |\n                          <em>keyword popularity rates across all locations<\/em><br>values in this array represent percentages relative to the maximum value across all locations\n                        items:\n                          children:\n                            - name: geo_id\n                              type: string\n                              description: |\n                                <em>location identifier<\/em><br>you can use this field for matching obtained results with location parameters specified in the request<br>see the full list of available locations with their <code>geo_id<\/code> <a href=\"\/v3\/keywords_data\/dataforseo_trends\/locations\/\" rel=\"noopener noreferrer\" target=\"_blank\">here<\/a> or by making a separate request to <code>https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/code><br>example:<br><code>US-NY<\/code>\n                            - name: geo_name\n                              type: string\n                              description: |\n                                <em>location name<\/em><br>you can use this field for matching obtained results with location parameters specified in the request<br>see the full list of available locations with their <code>geo_name<\/code> <a href=\"\/v3\/keywords_data\/dataforseo_trends\/locations\/\" rel=\"noopener noreferrer\" target=\"_blank\">here<\/a> or by making a separate request to <code>https:\/\/api.dataforseo.com\/v3\/keywords_data\/dataforseo_trends\/locations<\/code><br>example:<br><code>Andorra<\/code>\n                            - name: values\n                              type: array\n                              description: |\n                                <em>keyword popularity rates relative to all locations<\/em><br>represents location-specific keyword popularity rate over the specified time range;<br>using these values, you can understand how popular each <code>keyword<\/code> is compared to all other keywords across all locations; <br>the first value in the array is provided for the first term from the <code>keywords<\/code> array, the second value is provided for the second keyword, and so on;<br>calculation: we determine the highest popularity value across all keywords across all locations, and then express all other values as a percentage of that highest value (100);<br>a value of <code>100<\/code> is the peak popularity for the term<br>a value of <code>50<\/code> means that the term is half as popular<br>a value of <code>0<\/code> means there was not enough data for this term\n              - name: demography_element\n                type: object\n                children:\n                  - name: position\n                    type: integer\n                    description: |\n                      <em>the alignment of the element<\/em><br>can take the following values: <code>1<\/code>, <code>2<\/code>, <code>3<\/code>, <code>4<\/code>, etc.\n                  - name: type\n                    type: string\n                    description: |\n                      <em>type of element = <strong>\u2018demography\u2019<\/strong><\/em>\n                  - name: keywords\n                    type: array\n                    description: |\n                      <em>relevant keywords<\/em><br>the data included in the <code>demography<\/code> and <code>demography_comparison<\/code> is based on the keywords listed in this array\n                  - name: demography\n                    type: object\n                    description: |\n                      <em>demographic breakdown of keyword popularity data per each specified term<\/em><br>conains keyword popularity data by age and gender\n                    children:\n                      - name: age\n                        type: array\n                        description: |\n                          <em>distribution of keyword popularity by age<\/em>\n                        items:\n                          children:\n                            - name: keyword\n                              type: string\n                              description: |\n                                <em>relevant keyword for which demographic data is provided<\/em>\n                            - name: values\n                              type: array\n                              description: |\n                                <em>contains age range and corresponding keyword popularity values<\/em>\n                              items:\n                                children:\n                                  - name: type\n                                    type: string\n                                    description: |\n                                      <em>age range<\/em><br>can take the following values: <code>18-24<\/code>, <code>25-34<\/code>, <code>35-44<\/code>, <code>45-54<\/code>, <code>55-64<\/code>\n                                  - name: value\n                                    type: integer\n                                    description: |\n                                      <em>keyword popularity rate within the specified age range<\/em><br>using this <code>value<\/code> you can understand how popular a keyword is within each age range; <br>calculation: we determine the highest popularity value for the relevant keyword across all age groups, and then express all other values as a percentage of that highest value (100);<br>a value of <code>100<\/code> is the highest popularity for the term<br>a value of <code>0<\/code> means there was not enough data for this term\n                      - name: gender\n                        type: array\n                        description: |\n                          <em>distribution of keyword popularity by gender<\/em>\n                        items:\n                          children:\n                            - name: keyword\n                              type: string\n                              description: |\n                                <em>relevant keyword for which demographic data is provided<\/em>\n                            - name: values\n                              type: array\n                              description: |\n                                <em>contains gender and corresponding keyword popularity values<\/em>\n                              items:\n                                children:\n                                  - name: type\n                                    type: string\n                                    description: |\n                                      <em>gender category<\/em><br>can take the following values: <code>female<\/code>, <code>male<\/code>\n                                  - name: value\n                                    type: integer\n                                    description: |\n                                      <em>keyword popularity rate within the specified gender category<\/em><br>using this <code>value<\/code> you can understand how popular a keyword is within each gender category;<br>calculation: we determine the highest popularity value for the relevant keyword across all gender categories, and then express all other values as a percentage of that highest value (100);<br>a value of <code>100<\/code> is the highest popularity for the term;<br>a value of <code>0<\/code> means there was not enough data for this term\n                  - name: demography_comparison\n                    type: object\n                    description: |\n                      <em>comparison of demographic data on keyword popularity for the specified parameters<\/em><br>conains keyword popularity data by age and gender<br>if you specified a single keyword, the value will be <code>null<\/code>\n                    children:\n                      - name: age\n                        type: object\n                        description: |\n                          <em>comparison of keyword popularity data by age<\/em>\n                        children:\n                          - name: $18-24\n                            type: array\n                            description: |\n                              <em>indicates age range and contains corresponding keyword popularity values<\/em><br>contains comparison of keyword popularity for the specified terms within the specified age range<br><strong>variable can take the following values:<\/strong> <code>18-24<\/code>, <code>18-24<\/code>, <code>25-34<\/code>, <code>35-44<\/code>, <code>45-54<\/code>, <code>55-64<\/code>;<br>using the values from this array, you can understand which of the specified <code>keywords<\/code> is more popular within the related age range;<br>the first value in the array is provided for the first term from the <code>keywords<\/code> array, the second value is provided for the second keyword, and so on;<br>calculation: we determine the total popularity value of all keywords within each age range, and then express all other values as a percentage of the total value (100);<br>a value of <code>100<\/code> is the highest popularity for the term<br>a value of <code>0<\/code> means there was not enough data for this term\n                      - name: gender\n                        type: object\n                        description: |\n                          <em>comparison of keyword popularity data by gender<\/em>\n                        children:\n                          - name: female\n                            type: array\n                            description: |\n                              <em>indicates gender category and contains corresponding keyword popularity values<\/em><br>contains comparison of keyword popularity for the specified terms within the specified gender category;<br>using the values from this array, you can understand which of the specified <code>keywords<\/code> is more popular within the related gender category;<br>the first value in the array is provided for the first term from the <code>keywords<\/code> array, the second value is provided for the second keyword, and so on;<br>calculation: we determine the total popularity value of all keywords within each gender category, and then express all other values as a percentage of the total value (100);<br>a value of <code>100<\/code> is the highest popularity for the term<br>a value of <code>0<\/code> means there was not enough data for this term\n                          - name: male\n                            type: array\n                            description: |\n                              <em>indicates gender category and contains corresponding keyword popularity values<\/em><br>contains comparison of keyword popularity for the specified terms within the specified gender category;<br>using the values from this array, you can understand which of the specified <code>keywords<\/code> is more popular within the related gender category;<br>the first value in the array is provided for the first term from the <code>keywords<\/code> array, the second value is provided for the second keyword, and so on;<br>calculation: we determine the total popularity value of all keywords within each gender category, and then express all other values as a percentage of the total value (100);<br>a value of <code>100<\/code> is the highest popularity for the term<br>a value of <code>0<\/code> means there was not enough data for this term","footnotes":""},"class_list":["post-18563","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/pages\/18563","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/comments?post=18563"}],"version-history":[{"count":31,"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/pages\/18563\/revisions"}],"predecessor-version":[{"id":26307,"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/pages\/18563\/revisions\/26307"}],"wp:attachment":[{"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/media?parent=18563"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}