serp/google/finance_markets/live/advanced

Live Google Finance Markets Advanced

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Live Google Finance Markets provides real-time data from the ‘Markets’ tab of Google Finance. These results are specific to the parameters you specify in the request: location, language, and market_type.

POST

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). 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 SERP API call can contain only one task.

Below you will find a detailed description of the parameters that are required or recommended for setting a task.

Main Parameters

Field name Type Description

Field name	Type	Description
`location_code`	integer	search engine location code required field if you don't specify `location_name` 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/serp/google/locations` example: `2840`
`language_code`	string	search engine language code required field if you don't specify `language_name` if you use this field, you don't need to specify `language_name` you can receive the list of available languages of the search engine with their `language_code` by making a separate request to the `https://api.dataforseo.com/v3/serp/google/languages` example: `en`
`device`	string	device type optional field return results for a specific device type possible value: `desktop`

location_code

integer

search engine location code

required field if you don't specify location_name

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/serp/google/locations

example:

2840

language_code

string

search engine language code

required field if you don't specify language_name

if you use this field, you don't need to specify language_name

you can receive the list of available languages of the search engine with their language_code by making a separate request to the https://api.dataforseo.com/v3/serp/google/languages

example:

en

device

string

device type

optional field

return results for a specific device type

possible value: desktop

Below you will find a drop-down list with the additional parameters you can use for setting a task.

Additional Parameters

Field name	Type	Description
`location_name`	string	full name of search engine location required field if you don't specify `location_code` 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/serp/google/locations` example: `London,England,United Kingdom`
`language_name`	string	full name of search engine language required field if you don't specify `language_code` if you use this field, you don't need to specify `language_code` you can receive the list of available languages of the search engine with their `language_name` by making a separate request to the `https://api.dataforseo.com/v3/serp/google/languages` example: `English`
`os`	string	device operating system optional field possible values: `windows`
`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
`market_type`	string	type of google finance market optional field possible values: `most-active`, `indexes`, `indexes/americas`, `indexes/europe-middle-east-africa`, `indexes/asia-pacific`, `gainers`, `losers`, `climate-leaders`, `cryptocurrencies`, `currencies` default value: `most-active`

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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 the 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
`keyword`	string	keyword received in a POST array the keyword is returned with decoded %## (plus character '+' will be decoded to a space character)
`type`	string	search engine type in this case, equals `finance_markets`
`se_domain`	string	search engine domain in a POST array
`location_code`	string	location code in a POST array
`language_code`	string	language code in a POST array
`check_url`	string	direct URL to search engine results you can use it to make sure that we provided accurate results
`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`
`spell`	object	autocorrection of the search engine if the search engine provided results for a keyword that was corrected, we will specify the keyword corrected by the search engine and the type of autocorrection; in this case, the value will be `null`
`refinement_chips`	object	search refinement chips in this case, the value will be `null`
`item_types`	array	types of search results in SERP contains types of search results (`items`) found in SERP; possible item types: `google_finance_hero_groups`, `google_finance_explore_market_trends`, `google_finance_news`, `google_finance_interested`, `google_finance_people_also_search`
`se_results_count`	integer	total number of results in SERP
`items_count`	integer	the number of results returned in the `items`* array*
`items`	array	elements of search results found in SERP
`google_finance_hero_groups`	object	google_finance_hero_groups item in SERP
`type`	string	type of element='google_finance_hero_groups'
`rank_group`	integer	group rank in SERP position within a group of elements with identical `type` values positions of elements with different `type` values are omitted from `rank_group`
`rank_absolute`	integer	absolute rank in SERP absolute position among all the elements in SERP
`markets`	array	financial markets data array of items containing market indexes and other financial information related to these indexes
`market`	string	financial market identifier possible values: `US`, `Europe`, `Asia`, `Currencies`, `Crypto`, `Futures`
`items`	array	market indexes data array of items containing market indexes data; possible `type` of items: `google_finance_asset_pair_element`, `google_finance_market_instrument_element`, `google_finance_market_index_element`
`type`	string	type of element='google_finance_market_index_element'n
`ticker`	string	ticker of the market index example: `DAX`
`market_identifier`	string	market identifier example: `INDEXDB`
`index_value`	float	value of the market index numerical value of the index at a given `timestamp`
`index_value_delta`	float	change in value of the market index change in the `index_value` at a given `timestamp`
`identifier`	string	identifier of the element full identifier of the element that consists from `ticker` and `market_identifier` example: `PX1:INDEXDB`
`displayed_name`	string	name of the market index as displayed on Google Finance example: `CAC 40`
`url`	string	URL to the page of the market index on Google Finance
`location`	string	location of the market index example: `Europe/Paris`
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value of the market index
`type`	string	type of element='google_finance_asset_pair_element'n
`base_symbol`	string	identifier of the base asset in a pair example: `EUR`
`quote_symbol`	string	identifier of the quote asset in a pair example: `USD`
`base_display_name`	string	full name of the base asset in a pair example: `Euro`
`quote_display_name`	string	full name of the base asset in a pair example: `Euro`
`price`	float	value of the base asset compared to the quote asset
`price_delta`	float	change in price change in `price` at a given `timestamp`
`identifier`	string	finance pair identifier example: `EUR-USD`
`displayed_name`	string	displayed name of the finance pair example: `EUR / USD`
`url`	string	URL to finance pair on Google Finance
`location`	string	location of the market index
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value
`type`	string	type of element='google_finance_market_instrument_element'n
`ticker`	string	ticker of the market index example: `YMW00`
`price`	float	price of the market instrument price of the market instrument at a given `timestamp`
`price_delta`	float	change in price of the market instrument change in `price` at a given `timestamp`
`price_currency`	string	price currency example: `USD`
`identifier`	string	full identifier of the market index example: `YMW00:CBOT`
`displayed_name`	string	displayed name of the market index example: `E-mini Dow ($5)`
`url`	string	URL to the page of the market index on Google Finance
`location`	string	location of the market index
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value of the market index
`google_finance_explore_market_trends`	object	google_finance_explore_market_trends item in SERP
`type`	string	type of element='google_finance_explore_market_trends'n
`rank_group`	integer	group rank in SERP position within a group of elements with identical `type` values positions of elements with different `type` values are omitted from `rank_group`
`rank_absolute`	integer	absolute rank in SERP absolute position among all the elements in SERP
`title`	string	title of the market trends element example: `Europe, Middle East, and Africa`
`sub_title`	string	sub-title of the market trends element
`url`	string	URL to the page of the market trends element on Google Finance
`items`	array	market indexes related to the market trends element possible `type` of items: `google_finance_asset_pair_element`, `google_finance_market_instrument_element`, `google_finance_market_index_element`
`type`	string	type of element='google_finance_market_index_element'n
`ticker`	string	ticker of the market index example: `DAX`
`market_identifier`	string	market identifier example: `INDEXDB`
`index_value`	float	value of the market index numerical value of the index at a given `timestamp`
`index_value_delta`	float	change in value of the market index change in the `index_value` at a given `timestamp`
`identifier`	string	identifier of the element full identifier of the element that consists from `ticker` and `market_identifier` example: `PX1:INDEXDB`
`displayed_name`	string	name of the market index as displayed on Google Finance example: `CAC 40`
`url`	string	URL to the page of the market index on Google Finance
`location`	string	location of the market index example: `Europe/Paris`
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value of the market index
`type`	string	type of element='google_finance_asset_pair_element'n
`base_symbol`	string	identifier of the base asset in a pair example: `EUR`
`quote_symbol`	string	identifier of the quote asset in a pair example: `USD`
`base_display_name`	string	full name of the base asset in a pair example: `Euro`
`quote_display_name`	string	full name of the base asset in a pair example: `Euro`
`price`	float	value of the base asset compared to the quote asset
`price_delta`	float	change in price change in `price` at a given `timestamp`
`identifier`	string	finance pair identifier example: `EUR-USD`
`displayed_name`	string	displayed name of the finance pair example: `EUR / USD`
`url`	string	URL to finance pair on Google Finance
`location`	string	location of the market index
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value
`type`	string	type of element='google_finance_market_instrument_element'n
`ticker`	string	ticker of the market index example: `YMW00`
`price`	float	price of the market instrument price of the market instrument at a given `timestamp`
`price_delta`	float	change in price of the market instrument change in `price` at a given `timestamp`
`price_currency`	string	price currency example: `USD`
`identifier`	string	full identifier of the market index example: `YMW00:CBOT`
`displayed_name`	string	displayed name of the market index example: `E-mini Dow ($5)`
`url`	string	URL to the page of the market index on Google Finance
`location`	string	location of the market index
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value of the market index
`google_finance_news`	object	google_finance_news item in SERP
`type`	string	type of element='google_finance_news'
`rank_group`	integer	group rank in SERP position within a group of elements with identical `type` values positions of elements with different `type` values are omitted from `rank_group`
`rank_absolute`	integer	absolute rank in SERP absolute position among all the elements in SERP
`title`	string	title of the news element example: `In the news`
`sub_title`	string	sub-title of the news element example: `Based on Europe, Middle East, and Africa`
`items`	array	google finance news articles
`type`	string	type of element='google_finance_news_element'n
`title`	string	title of the news article
`url`	string	URL of the news article
`source`	string	name of the news source name of the website where the news article is published
`image_url`	string	featured image URL URL of the news article's featured image
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`quotes`	array	market indexes quoted in the news article information about market indexes quoted in the `google_finance_news_element`
`type`	string	type of element='google_finance_market_index_element'n
`ticker`	string	ticker of the market index example: `DAX`
`market_identifier`	string	market identifier example: `INDEXDB`
`index_value`	float	value of the market index numerical value of the index at a given `timestamp`
`index_value_delta`	float	change in value of the market index change in the `index_value` at a given `timestamp`
`identifier`	string	identifier of the element full identifier of the element that consists from `ticker` and `market_identifier` example: `PX1:INDEXDB`
`displayed_name`	string	name of the market index as displayed on Google Finance example: `CAC 40`
`url`	string	URL to the page of the market index on Google Finance
`location`	string	location of the market index example: `Europe/Paris`
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value of the market index
`type`	string	type of element='google_finance_market_instrument_element'n
`ticker`	string	ticker of the market index example: `YMW00`
`price`	float	price of the market instrument price of the market instrument at a given `timestamp`
`price_delta`	float	change in price of the market instrument change in `price` at a given `timestamp`
`price_currency`	string	price currency example: `USD`
`identifier`	string	full identifier of the market index example: `YMW00:CBOT`
`displayed_name`	string	displayed name of the market index example: `E-mini Dow ($5)`
`url`	string	URL to the page of the market index on Google Finance
`location`	string	location of the market index
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value of the market index
`type`	string	type of element='google_finance_asset_pair_element'n
`base_symbol`	string	identifier of the base asset in a pair example: `EUR`
`quote_symbol`	string	identifier of the quote asset in a pair example: `USD`
`base_display_name`	string	full name of the base asset in a pair example: `Euro`
`quote_display_name`	string	full name of the base asset in a pair example: `Euro`
`price`	float	value of the base asset compared to the quote asset
`price_delta`	float	change in price change in `price` at a given `timestamp`
`identifier`	string	finance pair identifier example: `EUR-USD`
`displayed_name`	string	displayed name of the finance pair example: `EUR / USD`
`url`	string	URL to finance pair on Google Finance
`location`	string	location of the market index
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value
`google_finance_interested`	object	google_finance_interested item in SERP
`type`	string	type of element='google_finance_interested' list of market indexes generated from recent searches, followed securities, and other activityn
`rank_group`	integer	group rank in SERP position within a group of elements with identical `type` values positions of elements with different `type` values are omitted from `rank_group`
`rank_absolute`	integer	absolute rank in SERP absolute position among all the elements in SERP
`items`	array	market indexes related to the market trends element possible `type` of items: `google_finance_asset_pair_element`, `google_finance_market_instrument_element`, `google_finance_market_index_element`
`type`	string	type of element='google_finance_market_index_element'n
`ticker`	string	ticker of the market index example: `DAX`
`market_identifier`	string	market identifier example: `INDEXDB`
`index_value`	float	value of the market index numerical value of the index at a given `timestamp`
`index_value_delta`	float	change in value of the market index change in the `index_value` at a given `timestamp`
`identifier`	string	identifier of the element full identifier of the element that consists from `ticker` and `market_identifier` example: `PX1:INDEXDB`
`displayed_name`	string	name of the market index as displayed on Google Finance example: `CAC 40`
`url`	string	URL to the page of the market index on Google Finance
`location`	string	location of the market index example: `Europe/Paris`
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value of the market index
`type`	string	type of element='google_finance_market_instrument_element'n
`ticker`	string	ticker of the market index example: `YMW00`
`price`	float	price of the market instrument price of the market instrument at a given `timestamp`
`price_delta`	float	change in price of the market instrument change in `price` at a given `timestamp`
`price_currency`	string	price currency example: `USD`
`identifier`	string	full identifier of the market index example: `YMW00:CBOT`
`displayed_name`	string	displayed name of the market index example: `E-mini Dow ($5)`
`url`	string	URL to the page of the market index on Google Finance
`location`	string	location of the market index
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value of the market index
`type`	string	type of element='google_finance_asset_pair_element'n
`base_symbol`	string	identifier of the base asset in a pair example: `EUR`
`quote_symbol`	string	identifier of the quote asset in a pair example: `USD`
`base_display_name`	string	full name of the base asset in a pair example: `Euro`
`quote_display_name`	string	full name of the base asset in a pair example: `Euro`
`price`	float	value of the base asset compared to the quote asset
`price_delta`	float	change in price change in `price` at a given `timestamp`
`identifier`	string	finance pair identifier example: `EUR-USD`
`displayed_name`	string	displayed name of the finance pair example: `EUR / USD`
`url`	string	URL to finance pair on Google Finance
`location`	string	location of the market index
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value
`google_finance_people_also_search`	object	google_finance_people_also_search item in SERP
`type`	string	type of element='google_finance_people_also_search'
`items`	array	market indexes related to the market trends element possible `type` of items: `google_finance_asset_pair_element`, `google_finance_market_instrument_element`, `google_finance_market_index_element`
`type`	string	type of element='google_finance_market_index_element'n
`ticker`	string	ticker of the market index example: `DAX`
`market_identifier`	string	market identifier example: `INDEXDB`
`index_value`	float	value of the market index numerical value of the index at a given `timestamp`
`index_value_delta`	float	change in value of the market index change in the `index_value` at a given `timestamp`
`identifier`	string	identifier of the element full identifier of the element that consists from `ticker` and `market_identifier` example: `PX1:INDEXDB`
`displayed_name`	string	name of the market index as displayed on Google Finance example: `CAC 40`
`url`	string	URL to the page of the market index on Google Finance
`location`	string	location of the market index example: `Europe/Paris`
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value of the market index
`type`	string	type of element='google_finance_market_instrument_element'n
`ticker`	string	ticker of the market index example: `YMW00`
`price`	float	price of the market instrument price of the market instrument at a given `timestamp`
`price_delta`	float	change in price of the market instrument change in `price` at a given `timestamp`
`price_currency`	string	price currency example: `USD`
`identifier`	string	full identifier of the market index example: `YMW00:CBOT`
`displayed_name`	string	displayed name of the market index example: `E-mini Dow ($5)`
`url`	string	URL to the page of the market index on Google Finance
`location`	string	location of the market index
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value of the market index
`type`	string	type of element='google_finance_asset_pair_element'n
`base_symbol`	string	identifier of the base asset in a pair example: `EUR`
`quote_symbol`	string	identifier of the quote asset in a pair example: `USD`
`base_display_name`	string	full name of the base asset in a pair example: `Euro`
`quote_display_name`	string	full name of the base asset in a pair example: `Euro`
`price`	float	value of the base asset compared to the quote asset
`price_delta`	float	change in price change in `price` at a given `timestamp`
`identifier`	string	finance pair identifier example: `EUR-USD`
`displayed_name`	string	displayed name of the finance pair example: `EUR / USD`
`url`	string	URL to finance pair on Google Finance
`location`	string	location of the market index
`trend`	string	growth trend of the market index possible values: `up`, `down`, `stable`
`timestamp`	string	date and time of the value readout in the UTC format: "yyyy-mm-dd hh-mm-ss +00:00" example: `2025-02-10 09:40:00 +00:00`
`percentage_delta`	float	percentage of change in value

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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/serp/google/finance_markets/live/advanced" 
--header "Authorization: Basic ${cred}"  
--header "Content-Type: application/json" 
--data-raw '[
    {
        "location_code": 2840,
        "language_name": "English"
    }
]'

<?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();
// You can set only one task at a time
$post_array[] = array(
    "location_code" => 2840,
    "language_name" => "English"
);
try {
    // POST /v3/serp/google/finance_markets/live/advanced
    // in addition to 'google' and 'finance_markets' you can also set other search engine and type parameters
    // the full list of possible parameters is available in documentation
    $result = $client->post('/v3/serp/google/finance_markets/live/advanced', $post_array);
    print_r($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 axios = require('axios');

axios({
    method: 'post',
    url: 'https://api.dataforseo.com/v3/serp/google/finance_markets/live/advanced',
    auth: {
        username: 'login',
        password: 'password'
    },
    data: [{
        "location_code" => 2840,
        "language_name" => "English"
    }],
    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()
# You can set only one task at a time
post_data[len(post_data)] = dict(
location_code=2840,
language_name="English"
)
# POST /v3/serp/google/finance_markets/live/advanced
# in addition to 'google' and 'finance_markets' you can also set other search engine and type parameters
# the full list of possible parameters is available in documentation
response = client.post("/v3/serp/google/finance_markets/live/advanced", 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.Threading.Tasks;

namespace DataForSeoDemos
{
    public static partial class Demos
    {
        public static async Task serp_live_advanced()
        {
            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>();
            // You can set only one task at a time
            postData.Add(new
            {
                location_code=2840,
                language_name="English"
            });
            // POST /v3/serp/google/finance_markets/live/advanced
            // in addition to 'google' and 'finance_markets' you can also set other search engine and type parameters
            // the full list of possible parameters is available in documentation
            var taskPostResponse = await httpClient.PostAsync("/v3/serp/google/finance_markets/live/advanced", new StringContent(JsonConvert.SerializeObject(postData)));
            var result = JsonConvert.DeserializeObject<dynamic>(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": "0.1.20241227",
  "status_code": 20000,
  "status_message": "Ok.",
  "time": "3.0950 sec.",
  "cost": 0.002,
  "tasks_count": 1,
  "tasks_error": 0,
  "tasks": [
    {
      "id": "02071612-1535-0139-0000-5dc0cbd3e100",
      "status_code": 20000,
      "status_message": "Ok.",
      "time": "3.0342 sec.",
      "cost": 0.002,
      "result_count": 1,
      "path": [
        "v3",
        "serp",
        "google",
        "finance_markets",
        "live",
        "advanced"
      ],
      "data": {
        "api": "serp",
        "function": "live",
        "se": "google",
        "se_type": "finance_markets",
        "language_name": "English",
        "location_code": 2840,
        "device": "desktop",
        "os": "windows"
      },
      "result": [
        {
          "keyword": null,
          "type": "finance_markets",
          "se_domain": "google.com",
          "location_code": 2840,
          "language_code": "en",
          "check_url": "https://www.google.com/finance/markets/most-active?hl=en&gl=us",
          "datetime": "2025-02-07 14:12:09 +00:00",
          "spell": null,
          "refinement_chips": null,
          "item_types": [
            "google_finance_hero_groups",
            "google_finance_explore_market_trends",
            "google_finance_news",
            "google_finance_interested",
            "google_finance_people_also_search"
          ],
          "se_results_count": 0,
          "items_count": 4,
          "items": [
            {
              "type": "google_finance_hero_groups",
              "rank_group": 1,
              "rank_absolute": 1,
              "markets": [
                {
                  "market": "Futures",
                  "items": [
                    {
                      "type": "google_finance_market_instrument_element",
                      "ticker": "YMW00",
                      "price": 44899,
                      "price_delta": 36,
                      "price_currency": "USD",
                      "identifier": "YMW00:CBOT",
                      "displayed_name": "E-mini Dow ($5)",
                      "url": "https://google.com/finance/quote/YMW00:CBOT?hl=en&gl=us",
                      "location": null,
                      "trend": "up",
                      "timestamp": "2025-02-07 14:01:43 +00:00",
                      "percentage_delta": 0.0802443
                    },
                    {
                      "market": "US",
                      "items": [
                        {
                          "type": "google_finance_market_index_element",
                          "ticker": "VIX",
                          "market_identifier": "INDEXCBOE",
                          "index_value": 15.05,
                          "index_value_delta": -0.4499998,
                          "identifier": "VIX:INDEXCBOE",
                          "displayed_name": "VIX",
                          "url": "https://google.com/finance/quote/VIX:INDEXCBOE?hl=en&gl=us",
                          "location": "America/Chicago",
                          "trend": "down",
                          "timestamp": "2025-02-07 13:56:46 +00:00",
                          "percentage_delta": -2.9032245
                        }
                      ]
                    },
                    {
                      "market": "Europe",
                      "items": [
                        {
                          "type": "google_finance_market_index_element",
                          "ticker": "SX5E",
                          "market_identifier": "INDEXSTOXX",
                          "index_value": 5346.93,
                          "index_value_delta": -9.699707,
                          "identifier": "SX5E:INDEXSTOXX",
                          "displayed_name": "EURO STOXX 50",
                          "url": "https://google.com/finance/quote/SX5E:INDEXSTOXX?hl=en&gl=us",
                          "location": "Europe/Berlin",
                          "trend": "down",
                          "timestamp": "2025-02-07 13:56:30 +00:00",
                          "percentage_delta": -0.18107854
                        }
                      ]
                    },
                    {
                      "market": "Asia",
                      "items": [
                        {
                          "type": "google_finance_market_index_element",
                          "ticker": "NIFTY_50",
                          "market_identifier": "INDEXNSE",
                          "index_value": 23559.95,
                          "index_value_delta": -43.40039,
                          "identifier": "NIFTY_50:INDEXNSE",
                          "displayed_name": "NIFTY 50",
                          "url": "https://google.com/finance/quote/NIFTY_50:INDEXNSE?hl=en&gl=us",
                          "location": "Asia/Calcutta",
                          "trend": "down",
                          "timestamp": "2025-02-07 10:01:10 +00:00",
                          "percentage_delta": -0.18387386
                        }
                      ]
                    },
                    {
                      "market": "Currencies",
                      "items": [
                        {
                          "type": "google_finance_asset_pair_element",
                          "base_symbol": "AUD",
                          "quote_symbol": "USD",
                          "base_display_name": "Australian Dollar",
                          "quote_display_name": "United States Dollar",
                          "price": 0.6278299430000001,
                          "price_delta": -0.00031005700000000003,
                          "identifier": "AUD-USD",
                          "displayed_name": "AUD / USD",
                          "url": "https://google.com/finance/quote/AUD-USD?hl=en&gl=us",
                          "location": null,
                          "trend": "down",
                          "timestamp": "2025-02-07 14:11:05 +00:00",
                          "percentage_delta": -0.04936112
                        }
                      ]
                    },
                    {
                      "market": "Crypto",
                      "items": [
                        {
                          "type": "google_finance_asset_pair_element",
                          "base_symbol": "DOGE",
                          "quote_symbol": "USD",
                          "base_display_name": "Dogecoin",
                          "quote_display_name": "United States Dollar",
                          "price": 0.26068559999999996,
                          "price_delta": 0.013041583079999999,
                          "identifier": "DOGE-USD",
                          "displayed_name": "Dogecoin (DOGE / USD)",
                          "url": "https://google.com/finance/quote/DOGE-USD?hl=en&gl=us",
                          "location": null,
                          "trend": "up",
                          "timestamp": "2025-02-07 14:09:46 +00:00",
                          "percentage_delta": 5.266261999999999
                        }
                      ]
                    }
                  ]
                },
                {
                  "type": "google_finance_explore_market_trends",
                  "rank_group": 1,
                  "rank_absolute": 2,
                  "title": "Most active",
                  "sub_title": "The stocks or funds with the highest trading volume (in shares) during the current trading session",
                  "url": null,
                  "items": [
                    {
                      "type": "google_finance_market_instrument_element",
                      "ticker": "TDOC",
                      "price": 11.97,
                      "price_delta": 0,
                      "price_currency": "USD",
                      "identifier": "TDOC:NYSE",
                      "displayed_name": "Teladoc Health Inc",
                      "url": "https://google.com/finance/quote/TDOC:NYSE?hl=en&gl=us",
                      "location": "America/New_York",
                      "trend": "stable",
                      "timestamp": "2025-02-07 14:11:40 +00:00",
                      "percentage_delta": 0
                    }
                  ]
                },
                {
                  "type": "google_finance_news",
                  "rank_group": 1,
                  "rank_absolute": 3,
                  "title": "In the news",
                  "sub_title": "Based on most active",
                  "items": [
                    {
                      "type": "google_finance_news_element",
                      "title": "This Could Be the Month That Makes or Breaks Super Micro Computer's Stock",
                      "url": "https://www.fool.com/investing/2025/02/06/this-could-be-the-month-that-makes-or-breaks-super/",
                      "source": "The Motley Fool",
                      "image_url": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcRtylMUOIZnbddlHj3uzxLIDum8Xy42B2uFRcOQv3xyq1bNo0XSu9XmLXjGr_s",
                      "timestamp": "2025-02-06 14:27:00 +00:00",
                      "quotes": [
                        {
                          "type": "google_finance_market_instrument_element",
                          "ticker": "SMCI",
                          "price": 33.84,
                          "price_delta": 0,
                          "price_currency": "USD",
                          "identifier": "SMCI:NASDAQ",
                          "displayed_name": "Super Micro Computer Inc",
                          "url": "https://google.com/finance/quote/SMCI:NASDAQ?hl=en&gl=us",
                          "location": "America/New_York",
                          "trend": "stable",
                          "timestamp": "2025-02-07 14:11:56 +00:00",
                          "percentage_delta": 0
                        }
                      ]
                    },
                    {
                      "type": "google_finance_news_element",
                      "title": "1 AI Stock to Buy Before It Soars 335% to $1 Trillion, According to a Wall nStreet Analyst",
                      "url": "https://finance.yahoo.com/news/1-ai-stock-buy-soars-081000093.html",
                      "source": "Yahoo Finance",
                      "image_url": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcRKC85EuzoaawfpMrY9qYJfX0e4gkZ3P22FIkUmzj_Ct6CSfwD02tZCK3zu4tA",
                      "timestamp": "2025-02-07 08:10:00 +00:00",
                      "quotes": [
                        {
                          "type": "google_finance_market_instrument_element",
                          "ticker": "PLTR",
                          "price": 111.28,
                          "price_delta": 0,
                          "price_currency": "USD",
                          "identifier": "PLTR:NASDAQ",
                          "displayed_name": "Palantir Technologies Inc",
                          "url": "https://google.com/finance/quote/PLTR:NASDAQ?hl=en&gl=us",
                          "location": "America/New_York",
                          "trend": "stable",
                          "timestamp": "2025-02-07 14:11:55 +00:00",
                          "percentage_delta": 0
                        }
                      ]
                    }
                  ]
                },
                {
                  "type": "google_finance_interested",
                  "rank_group": 1,
                  "rank_absolute": 4,
                  "items": [
                    {
                      "type": "google_finance_market_index_element",
                      "ticker": "COMPOSITE",
                      "market_identifier": "IDX",
                      "index_value": 6742.576,
                      "index_value_delta": -132.95996,
                      "identifier": "COMPOSITE:IDX",
                      "displayed_name": "IDX Composite",
                      "url": "https://google.com/finance/quote/COMPOSITE:IDX?hl=en&gl=us",
                      "location": "Asia/Jakarta",
                      "trend": "down",
                      "timestamp": "2025-02-07 09:00:04 +00:00",
                      "percentage_delta": -1.9338123
                    },
                    {
                      "type": "google_finance_market_instrument_element",
                      "ticker": "TLKM",
                      "price": 2590,
                      "price_delta": 30,
                      "price_currency": "IDR",
                      "identifier": "TLKM:IDX",
                      "displayed_name": "Telkom Indonesia (Persero) Tbk PT",
                      "url": "https://google.com/finance/quote/TLKM:IDX?hl=en&gl=us",
                      "location": "Asia/Jakarta",
                      "trend": "up",
                      "timestamp": "2025-02-07 09:40:00 +00:00",
                      "percentage_delta": 1.171875
                    }
                  ]
                },
                {
                  "type": "google_finance_people_also_search_item",
                  "items": [
                    {
                      "type": "google_finance_market_instrument_element",
                      "ticker": "AAPL",
                      "market": "NASDAQ",
                      "price": 222.64,
                      "price_delta": -7.3399963,
                      "price_currency": "USD",
                      "identifier": "AAPL:NASDAQ",
                      "display_name": "Apple Inc",
                      "url": "https://google.com/finance/quote/AAPL:NASDAQ?hl=en&gl=de",
                      "location": "America/New_York",
                      "trend": "down",
                      "timestamp": "2025-01-22T11:05:04Z",
                      "percentage_delta": -3.1915803
                    }
                  ]
                }
              ]
            }
          ]
        }
      ]
    }
  ]
}