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 can check keyword trends for Google Search, Google News, and Google Shopping.

How our algorithm works: 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. Learn more on our Help Center.

You will get information for every single keyword in an array.

You can send up to 5 keywords in one keywords array. Our system will charge your account per each request, no matter what number of keywords an array has.

checked POST
Pricing

Your account will be charged for each request.
The cost can be calculated on the Pricing page.

All POST data should be sent in the JSON 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. The maximum number of requests that can be sent simultaneously is limited to 30.
Visit DataForSEO Help Center to get practical tips for request handling depending on your Keyword Data API payload volume.

Below you will find a detailed description of the fields you can use for setting a task.

Description of the fields for setting a task:

Field name Type Description
keywords array keywords
required field
the maximum number of keywords you can specify: 5
avoid symbols and special characters (e.g., UTF symbols, emojis);
specifying non-Latin characters, you’ll get data for the countries where they are used

learn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article
location_name string full name of search engine location
optional field
if you don’t use this field, you will recieve global results
if you use this field, you don’t need to specify location_code
you can receive the list of available locations of the search engine with their location_name by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations
note that the data will be provided for the country the specified location_name belongs to;
example:
United Kingdom
location_code integer search engine location code
optional field
if you don’t use this field, you will recieve global results
if you use this field, you don’t need to specify location_name
you can receive the list of available locations of the search engines with their location_code by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations
note that the data will be provided for the country the specified location_code belongs to;
example:
2840
type string dataforseo trends type
optional field
if you don’t specify this field, the web type will be used by default
possible values: web, news, ecommerce
date_from string starting date of the time range
optional field
if you don’t specify this field, the current day and month of the preceding year will be used by default
minimal value for the web type: 2004-01-01
minimal value for other types: 2008-01-01
date format: "yyyy-mm-dd"
example:
"2019-01-15"
date_to string ending date of the time range
optional field
if you don’t specify this field, the today’s date will be used by default
date format: "yyyy-mm-dd"
example:
"2019-01-15"
time_range string preset time ranges
optional field
if you specify date_from or date_to parameters, this field will be ignored when setting a task
possible values for all type parameters:
past_4_hours, past_day, past_7_days, past_30_days, past_90_days, past_12_months, past_5_years
tag string user-defined task identifier
optional field
the character limit is 255
you can use this parameter to identify the task and match it with the result
you will find the specified tag value in the data object of the response

‌
As a response of the API server, you will receive JSON-encoded data containing a tasks array with the information specific to the set tasks.

Description of the fields in the results array:

Field name Type Description
version string the current version of the API
status_code integer general status code
you can find the full list of the response codes here
Note: we strongly recommend designing a necessary system for handling related exceptional or error conditions
status_message string general informational message
you can find the full list of general informational messages here
time string execution time, seconds
cost float total tasks cost, USD
tasks_count integer the number of tasks in the tasks array
tasks_error integer the number of tasks in the tasks array returned with an error
tasks array array of tasks
        id string task identifier
unique task identifier in our system in the UUID format
        status_code integer status code of the task
generated by DataForSEO; can be within the following range: 10000-60000
you can find the full list of response codes here
        status_message string informational message of the task
you can find the full list of general informational messages here
        time string execution time, seconds
        cost float cost of the task, USD
        result_count integer number of elements in the result array
        path array URL path
        data object contains the same parameters that you specified in the POST request
        result array array of results
            keywords array keywords in a POST array
            type array search engine type in a POST array
            location_code integer location code in a POST array
if there is no data, then the value is null
            language_code string language code in a POST array
if there is no data, then the value is null
            datetime string date and time when the result was received
in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00”
example:
2019-11-15 12:57:46 +00:00
            items_count integer the number of results returned in the items array
            items array contains keyword popularity and related data
            ‘dataforseo_trends_graph’ element
                position integer the alignment of the element
can take the following values: 1, 2, 3, 4, etc.
                type string type of element = ‘dataforseo_trends_graph’
                keywords array relevant keywords
the data included in the dataforseo_trends_graph element is based on the keywords listed in this array
                data array DataForSEO Trends data for the specified parameters
                    date_from string start date of the corresponding time range
in the UTC format: “yyyy-mm-dd”
                    date_to string end date of the corresponding time range
in the UTC format: “yyyy-mm-dd”
                    timestamp integer a point in time in the Unix time format
                    values array relative keyword popularity rate at a specific timestamp
if you specify more than one keyword, the values will be averaged to the highest value across all specified keywords
a value of 100 is the peak popularity for the term
a value of 50 means that the term is half as popular
a value of 0 means there was not enough data for this term
                averages array keyword popularity values averaged over the whole time range
            ‘subregion_interests’ element
                position integer the alignment of the element
can take the following values: 1, 2, 3, 4, etc.
                type string type of element = ‘subregion_interests’
                keywords array relevant keywords
the data included in the interests and interests_comparison is based on the keywords listed in this array
                interests array subregional keyword popuarity data for each specified term
                    keyword string relevant keyword
the data included in the values element is based on this keyword
                    values array contains data on relative keyword popularity by country or region
                           geo_id string location identifier
you can use this field for matching obtained results with location parameters specified in the request
see the full list of available locations with their geo_id here or by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations
example:
US-NY
                           geo_name string location name
you can use this field for matching obtained results with location parameters specified in the request
see the full list of available locations with their geo_name here or by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations
example:
Andorra
                            value integer relative keyword popularity rate in a given location
represents location-specific keyword popularity rate over the specified time range;
using this value you can understand how popular a keyword is in one location compared to another location;
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);
a value of 100 is the highest popularity for the term
a value of 50 means that the term is half as popular
a value of 0 means there was not enough data for this term
                interests_comparison object comparison of data on subregional keyword popularity for the specified parameters
if you specified a single keyword, the value will be null
                    items array keyword popularity values per location
values in this array represent percentages relative to the maximum value within each region
                        geo_id string location identifier
you can use this field for matching obtained results with location parameters specified in the request
see the full list of available locations with their geo_id here or by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations
example:
US-NY
                        geo_name string location name
you can use this field for matching obtained results with location parameters specified in the request
see the full list of available locations with their geo_name here or by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations
example:
Andorra
                        values array keyword popularity rates within a given location
represents location-specific keyword popularity rate over the specified time range;
using these values, you can understand which of the specified keywords is more popular in the related location;
the first value in the array is provided for the first term from the keywords array, the second value is provided for the second keyword, and so on;
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);
a value of 100 is the peak popularity for the term
a value of 50 means that the term is half as popular
a value of 0 means there was not enough data for this term
                    absolute_items array keyword popularity rates across all locations
values in this array represent percentages relative to the maximum value across all locations
                        geo_id string location identifier
you can use this field for matching obtained results with location parameters specified in the request
see the full list of available locations with their geo_id here or by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations
example:
US-NY
                        geo_name string location name
you can use this field for matching obtained results with location parameters specified in the request
see the full list of available locations with their geo_name here or by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations
example:
Andorra
                        values array keyword popularity rates relative to all locations
represents location-specific keyword popularity rate over the specified time range;
using these values, you can understand how popular each keyword is compared to all other keywords across all locations;
the first value in the array is provided for the first term from the keywords array, the second value is provided for the second keyword, and so on;
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);
a value of 100 is the peak popularity for the term
a value of 50 means that the term is half as popular
a value of 0 means there was not enough data for this term
            ‘demography’ element
                position integer the alignment of the element
can take the following values: 1, 2, 3, 4, etc.
                type string type of element = ‘demography’
                keywords array relevant keywords
the data included in the demography and demography_comparison is based on the keywords listed in this array
                demography object demographic breakdown of keyword popularity data per each specified term
conains keyword popularity data by age and gender
                    age array distribution of keyword popularity by age
                        keyword string relevant keyword for which demographic data is provided
                        values array contains age range and corresponding keyword popularity values
                           type string age range
can take the following values: 18-24, 25-34, 35-44, 45-54, 55-64
                            value integer keyword popularity rate within the specified age range
using this value you can understand how popular a keyword is within each age range;
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);
a value of 100 is the highest popularity for the term
a value of 0 means there was not enough data for this term
                    gender array distribution of keyword popularity by gender
                        keyword string relevant keyword for which demographic data is provided
                        values array contains gender and corresponding keyword popularity values
                           type string gender category
can take the following values: female, male
                            value integer keyword popularity rate within the specified gender category
using this value you can understand how popular a keyword is within each gender category;
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);
a value of 100 is the highest popularity for the term;
a value of 0 means there was not enough data for this term
                demography_comparison object comparison of demographic data on keyword popularity for the specified parameters
conains keyword popularity data by age and gender
if you specified a single keyword, the value will be null
                    age object comparison of keyword popularity data by age
                        $18-24 array indicates age range and contains corresponding keyword popularity values
contains comparison of keyword popularity for the specified terms within the specified age range
variable can take the following values: 18-24, 18-24, 25-34, 35-44, 45-54, 55-64;
using the values from this array, you can understand which of the specified keywords is more popular within the related age range;
the first value in the array is provided for the first term from the keywords array, the second value is provided for the second keyword, and so on;
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);
a value of 100 is the highest popularity for the term
a value of 0 means there was not enough data for this term
                    gender object comparison of keyword popularity data by gender
                        female array indicates gender category and contains corresponding keyword popularity values
contains comparison of keyword popularity for the specified terms within the specified gender category;
using the values from this array, you can understand which of the specified keywords is more popular within the related gender category;
the first value in the array is provided for the first term from the keywords array, the second value is provided for the second keyword, and so on;
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);
a value of 100 is the highest popularity for the term
a value of 0 means there was not enough data for this term
                        male array indicates gender category and contains corresponding keyword popularity values
contains comparison of keyword popularity for the specified terms within the specified gender category;
using the values from this array, you can understand which of the specified keywords is more popular within the related gender category;
the first value in the array is provided for the first term from the keywords array, the second value is provided for the second keyword, and so on;
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);
a value of 100 is the highest popularity for the term
a value of 0 means there was not enough data for this term

‌‌

Instead of ‘login’ and ‘password’ use your credentials from https://app.dataforseo.com/api-access

# Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-access 
login="login" 
password="password" 
cred="$(printf ${login}:${password} | base64)" 
curl --location --request POST "https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/merged_data/live" 
--header "Authorization: Basic ${cred}"  
--header "Content-Type: application/json" 
--data-raw "[
    {
        "keywords": [
            "rugby",
            "cricket"
        ],
        "date_from": "2023-01-01",
        "date_to": "2024-01-01",
        "type": "web",
        "location_name": "United States"
    }
]"
<?php
// You can download this file from here https://cdn.dataforseo.com/v3/examples/php/php_RestClient.zip
require('RestClient.php');
$api_url = 'https://api.dataforseo.com/';
try {
	// Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-access
	$client = new RestClient($api_url, null, 'login', 'password');
} catch (RestClientException $e) {
	echo "n";
	print "HTTP code: {$e->getHttpCode()}n";
	print "Error code: {$e->getCode()}n";
	print "Message: {$e->getMessage()}n";
	print  $e->getTraceAsString();
	echo "n";
	exit();
}
$post_array = array();
// simple way to set a task
$post_array[] = array(
	"location_name" => "United States",
	"date_from" => "2023-01-01",
	"date_to" => "2024-01-01",
	"type" => "web",
	"keywords" => array(
		"rugby",
		"cricket"
	)
);
try {
	// POST /v3/keywords_data/dataforseo_trends/merged_data/live
	$result = $client->post('/v3/keywords_data/dataforseo_trends/merged_data/live', $post_array);
	print_r($result);
	// do something with post result
} catch (RestClientException $e) {
	echo "n";
	print "HTTP code: {$e->getHttpCode()}n";
	print "Error code: {$e->getCode()}n";
	print "Message: {$e->getMessage()}n";
	print  $e->getTraceAsString();
	echo "n";
}
$client = null;
?>
const post_array = [];

post_array.push({
  "location_name": "United States",
  "date_from": "2019-01-01",
  "date_to": "2020-01-01",
  "type": "web",
  "category_code": 3,
  "keywords": ["rugby", "cricket"]
});

const axios = require('axios');

axios({
  method: 'post',
  url: 'https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/merged_data/live',
  auth: {
    username: 'login',
    password: 'password'
  },
  data: post_array,
  headers: {
    'content-type': 'application/json'
  }
}).then(function (response) {
  var result = response['data']['tasks'];
  // Result data
  console.log(result);
}).catch(function (error) {
  console.log(error);
});
from client import RestClient
# You can download this file from here https://cdn.dataforseo.com/v3/examples/python/python_Client.zip
client = RestClient("login", "password")
post_data = dict()
# simple way to set a task
post_data[len(post_data)] = dict(
    location_name="United States",
    date_from="2023-01-01",
    date_to="2024-01-01",
    type="web",
    keywords=[
        "rugby",
        "cricket"
    ]
)
# POST /v3/keywords_data/dataforseo_trends/merged_data/live
# the full list of possible parameters is available in documentation
response = client.post("/v3/keywords_data/dataforseo_trends/merged_data/live", post_data)
# you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
if response["status_code"] == 20000:
    print(response)
    # do something with result
else:
    print("error. Code: %d Message: %s" % (response["status_code"], response["status_message"]))
using Newtonsoft.Json;
using System;
using System.Collections.Generic;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Threading.Tasks;

namespace DataForSeoDemos
{
    public static partial class Demos
    {
        public static async Task keywords_data_trends_explore_live()
        {
            var httpClient = new HttpClient
            {
                BaseAddress = new Uri("https://api.dataforseo.com/"),
                // Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-access
                DefaultRequestHeaders = { Authorization = new AuthenticationHeaderValue("Basic", Convert.ToBase64String(Encoding.ASCII.GetBytes("login:password"))) }
            };
            var postData = new List<object>();
            postData.Add(new
            {
                location_name = "United States",
                date_from = "2023-01-01",
                date_to = "2024-01-01",
                type = "web",
                keywords = new[]
                {
                    "rugby",
                    "cricket"
                }
            });
            // POST /v3/keywords_data/dataforseo_trends/merged_data/live
            // the full list of possible parameters is available in documentation
            var taskPostResponse = await httpClient.PostAsync("/v3/keywords_data/dataforseo_trends/merged_data/live", new StringContent(JsonConvert.SerializeObject(postData)));
            var result = JsonConvert.DeserializeObject(await taskPostResponse.Content.ReadAsStringAsync());
            // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
            if (result.status_code == 20000)
            {
                // do something with result
                Console.WriteLine(result);
            }
            else
                Console.WriteLine($"error. Code: {result.status_code} Message: {result.status_message}");
        }
    }
}

The above command returns JSON structured like this:

{
    "version": "0.1.20231117",
    "status_code": 20000,
    "status_message": "Ok.",
    "time": "0.6291 sec.",
    "cost": 0.005,
    "tasks_count": 1,
    "tasks_error": 0,
    "tasks": [
        {
            "id": "03121401-1535-0575-0000-972fd45034ab",
            "status_code": 20000,
            "status_message": "Ok.",
            "time": "0.5700 sec.",
            "cost": 0.005,
            "result_count": 1,
            "path": [
                "v3",
                "keywords_data",
                "dataforseo_trends",
                "merged_data",
                "live"
            ],
            "data": {
                "api": "keywords_data",
                "function": "merged_data",
                "se": "dataforseo_trends",
                "keywords": [
                    "rugby",
                    "cricket"
                ],
                "date_from": "2023-01-01",
                "date_to": "2024-01-01",
                "type": "web",
                "location_name": "United States"
            },
            "result": [
                {
                    "keywords": [
                        "rugby",
                        "cricket"
                    ],
                    "type": "trends",
                    "location_code": 2840,
                    "language_code": null,
                    "datetime": "2024-03-12 12:01:58 +00:00",
                    "items_count": 3,
                    "items": [
                        {
                            "position": 1,
                            "type": "dataforseo_trends_graph",
                            "keywords": [
                                "rugby",
                                "cricket"
                            ],
                            "data": [
                                {
                                    "date_from": "2023-01-01",
                                    "date_to": "2023-01-07",
                                    "timestamp": 1672531200,
                                    "values": [
                                        4,
                                        28
                                    ]
                                },
                                {
                                    "date_from": "2023-01-08",
                                    "date_to": "2023-01-14",
                                    "timestamp": 1673136000,
                                    "values": [
                                        7,
                                        32
                                    ]
                                },
                                {
                                    "date_from": "2023-01-15",
                                    "date_to": "2023-01-21",
                                    "timestamp": 1673740800,
                                    "values": [
                                        6,
                                        27
                                    ]
                                },
                                {
                                    "date_from": "2023-01-22",
                                    "date_to": "2023-01-28",
                                    "timestamp": 1674345600,
                                    "values": [
                                        7,
                                        36
                                    ]
                                },
                                {
                                    "date_from": "2023-01-29",
                                    "date_to": "2023-02-04",
                                    "timestamp": 1674950400,
                                    "values": [
                                        7,
                                        22
                                    ]
                                },
                                {
                                    "date_from": "2023-02-05",
                                    "date_to": "2023-02-11",
                                    "timestamp": 1675555200,
                                    "values": [
                                        8,
                                        31
                                    ]
                                },
                                {
                                    "date_from": "2023-02-12",
                                    "date_to": "2023-02-18",
                                    "timestamp": 1676160000,
                                    "values": [
                                        7,
                                        25
                                    ]
                                },
                                {
                                    "date_from": "2023-02-19",
                                    "date_to": "2023-02-25",
                                    "timestamp": 1676764800,
                                    "values": [
                                        10,
                                        28
                                    ]
                                },
                                {
                                    "date_from": "2023-02-26",
                                    "date_to": "2023-03-04",
                                    "timestamp": 1677369600,
                                    "values": [
                                        7,
                                        30
                                    ]
                                },
                                {
                                    "date_from": "2023-03-05",
                                    "date_to": "2023-03-11",
                                    "timestamp": 1677974400,
                                    "values": [
                                        9,
                                        31
                                    ]
                                },
                                {
                                    "date_from": "2023-03-12",
                                    "date_to": "2023-03-18",
                                    "timestamp": 1678579200,
                                    "values": [
                                        10,
                                        31
                                    ]
                                },
                                {
                                    "date_from": "2023-03-19",
                                    "date_to": "2023-03-25",
                                    "timestamp": 1679184000,
                                    "values": [
                                        6,
                                        34
                                    ]
                                },
                                {
                                    "date_from": "2023-03-26",
                                    "date_to": "2023-04-01",
                                    "timestamp": 1679788800,
                                    "values": [
                                        9,
                                        25
                                    ]
                                },
                                {
                                    "date_from": "2023-04-02",
                                    "date_to": "2023-04-08",
                                    "timestamp": 1680393600,
                                    "values": [
                                        7,
                                        32
                                    ]
                                },
                                {
                                    "date_from": "2023-04-09",
                                    "date_to": "2023-04-15",
                                    "timestamp": 1680998400,
                                    "values": [
                                        8,
                                        26
                                    ]
                                },
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