serp/google/finance_markets/task_get/advanced

Get Google Finance Markets Advanced Results by id

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

GET

Your account will be charged only for posting a task. You can get the results of the task within the next 30 days for free.
The cost can be calculated on the Pricing page.

Description of the fields for sending a request:

Field name	Type	Description
`id`	string	task identifier unique task identifier in our system in the UUID format you will be able to use it within 30 days to request the results of the task at any time

‌‌
‌‌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.

You can also get all available SERP features and possible extra elements by making a request to the following Sandbox URL:
https://sandbox.dataforseo.com/v3/serp/google/ads_search/task_get/advanced/00000000-0000-0000-0000-000000000000
The response will include all available items in the Google Ads Advertisers SERP Advanced endpoint with the fields containing dummy data.
You won’t be charged for using Sandbox endpoints.

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
`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

‌‌

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)" 
id="02261816-2027-0066-0000-c27d02864073" 
curl --location --request GET "https://api.dataforseo.com/v3/serp/google/finance_markets/task_get/advanced/${id}" 
--header "Authorization: Basic ${cred}"  
--header "Content-Type: application/json" 
--data-raw ""

<?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();
}
try {
	$result = array();
	// #1 - using this method you can get a list of completed tasks
	// GET /v3/serp/google/finance_markets/tasks_ready
	// 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
	$tasks_ready = $client->get('/v3/serp/google/finance_markets/tasks_ready');
	// you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
	if (isset($tasks_ready['status_code']) AND $tasks_ready['status_code'] === 20000) {
		foreach ($tasks_ready['tasks'] as $task) {
			if (isset($task['result'])) {
				foreach ($task['result'] as $task_ready) {
					// #2 - using this method you can get results of each completed task
					// GET /v3/serp/google/finance_markets/task_get/advanced/$id
					if (isset($task_ready['endpoint_advanced'])) {
						$result[] = $client->get($task_ready['endpoint_advanced']);
					}
					// #3 - another way to get the task results by id
					// GET /v3/serp/google/finance_markets/task_get/advanced/$id
					/*
					if (isset($task_ready['id'])) {
						$result[] = $client->get('/v3/serp/google/finance_markets/task_get/advanced/' . $task_ready['id']);
					}
					*/
				}
			}
		}
	}
	print_r($result);
	// do something with 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 task_id = '02231256-2604-0066-2000-57133b8fc54e';

const axios = require('axios');

axios({
    method: 'get',
    url: 'https://api.dataforseo.com/v3/serp/google/finance_markets/task_get/advanced/' + task_id,
    auth: {
        username: 'login',
        password: 'password'
    },
    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")
# 1 - using this method you can get a list of completed tasks
# GET /v3/serp/google/finance_markets/tasks_ready
# 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.get("/v3/serp/google/finance_markets/tasks_ready")
# you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
if response['status_code'] == 20000:
    results = []
    for task in response['tasks']:
        if (task['result'] and (len(task['result']) > 0)):
            for resultTaskInfo in task['result']:
                # 2 - using this method you can get results of each completed task
                # GET /v3/serp/google/finance_markets/task_get/advanced/$id
                if(resultTaskInfo['endpoint_advanced']):
                    results.append(client.get(resultTaskInfo['endpoint_advanced']))                
                '''
                # 3 - another way to get the task results by id
                # GET /v3/serp/google/finance_markets/task_get/advanced/$id                
                if(resultTaskInfo['id']):
                    results.append(client.get("/v3/serp/google/finance_markets/task_get/advanced/" + resultTaskInfo['id']))
                '''
    print(results)
    # 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 serp_task_get()
        {
            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"))) }
            };
            // #1 - using this method you can get a list of completed tasks
            // GET /v3/serp/google/finance_markets/tasks_ready
            // 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 response = await httpClient.GetAsync("/v3/serp/google/finance_markets/tasks_ready");
            var tasksInfo = JsonConvert.DeserializeObject<dynamic>(await response.Content.ReadAsStringAsync());
            var tasksResponses = new List<object>();
            // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
            if (tasksInfo.status_code == 20000)
            {
                if (tasksInfo.tasks != null)
                {
                    foreach (var tasks in tasksInfo.tasks)
                    {
                        if (tasks.result != null)
                        {
                            foreach (var task in tasks.result)
                            {
                                if (task.endpoint_advanced != null)
                                {
                                    // #2 - using this method you can get results of each completed task
                                    // GET /v3/serp/google/finance_markets/task_get/advanced/$id
                                    var taskGetResponse = await httpClient.GetAsync((string)task.endpoint_advanced);
                                    var taskResultObj = JsonConvert.DeserializeObject<dynamic>(await taskGetResponse.Content.ReadAsStringAsync());
                                    if (taskResultObj.tasks != null)
                                    {
                                        var fst = taskResultObj.tasks.First;
                                        // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
                                        if (fst.status_code >= 40000 || fst.result == null)
                                            Console.WriteLine($"error. Code: {fst.status_code} Message: {fst.status_message}");
                                        else
                                            tasksResponses.Add(fst.result);
                                    }
                                    // #3 - another way to get the task results by id
                                    // GET /v3/serp/google/finance_markets/task_get/advanced/$id
                                    /*
                                    var tasksGetResponse = await httpClient.GetAsync("/v3/serp/google/finance_markets/task_get/advanced/" + (string)task.id);
                                    var tasksResultObj = JsonConvert.DeserializeObject<dynamic>(await tasksGetResponse.Content.ReadAsStringAsync());
                                    if (tasksResultObj.tasks != null)
                                    {
                                        var fst = taskResultObj.tasks.First;
                                        // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
                                        if (fst.status_code >= 40000 || fst.result == null)
                                            Console.WriteLine($"error. Code: {fst.status_code} Message: {fst.status_message}");
                                        else
                                            tasksResponses.Add(fst.result);
                                    }
                                    */
                                }
                            }
                        }
                    }
                }
                if (tasksResponses.Count > 0)
                    // do something with result
                    Console.WriteLine(String.Join(Environment.NewLine, tasksResponses));
                else
                    Console.WriteLine("No completed tasks");
            }
            else
                Console.WriteLine($"error. Code: {tasksInfo.status_code} Message: {tasksInfo.status_message}");
        }
    }
}

The above command returns JSON structured like this:

{
  "version": "0.1.20241227",
  "status_code": 20000,
  "status_message": "Ok.",
  "time": "0.1027 sec.",
  "cost": 0,
  "tasks_count": 1,
  "tasks_error": 0,
  "tasks": [
    {
      "id": "02171923-1535-0066-0000-59913d990e53",
      "status_code": 20000,
      "status_message": "Ok.",
      "time": "0.0327 sec.",
      "cost": 0,
      "result_count": 1,
      "path": [
        "v3",
        "serp",
        "google",
        "finance_markets",
        "task_get",
        "advanced",
        "02171923-1535-0066-0000-59913d990e53"
      ],
      "data": {
        "api": "serp",
        "function": "task_get",
        "se": "google",
        "se_type": "finance_markets",
        "language_name": "English",
        "location_code": 2840,
        "keyword": "NASDAQ-100",
        "market_filter": "most-active",
        "priority": 2,
        "device": "desktop",
        "os": "windows"
      },
      "result": [
        {
          "keyword": "NASDAQ-100",
          "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
                    }
                  ]
                }
              ]
            }
          ]
        }
      ]
    }
  ]
}