ai_optimization/chat_gpt/llm_scraper/task_get/advanced

Get ChatGPT LLM Scraper Advanced

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 a universally unique identifier (UUID) unique task identifier in our system 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.

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 symbol '+' will be decoded to a space character)
`location_code`	integer	location code in a POST array
`language_code`	string	language code in a POST array
`model`	string	indicates the model version
`check_url`	string	direct URL to search engine results you can use it to make sure that we provided exact 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`
`markdown`	string	content of the element in markdown format content of the result formatted in the markdown markup language
`search_results`	array	array of search results all web search outputs the model retrieved when looking up information, including duplicates and unused entries
`type`	string	type of element='chatgpt_search_result'
`url`	string	result URL
`domain`	string	result domain
`title`	string	result title
`description`	string	result description
`breadcrumb`	string	breadcrumb
`sources`	array	array of sources the sources the model actually cited or relied on in its final answer
`type`	string	type of element='chat_gpt_source'
`title`	string	source title
`snippet`	string	source description
`domain`	string	source domain in SERP
`url`	string	source URL
`thumbnail`	string	source thumbnail
`source_name`	string	source name
`publication_date`	string	date and time when the result was published in the format: “year-month-date:minutes:UTC_difference_hours:UTC_difference_minutes” example: `2019-11-15 12:57:46 +00:00`
`markdown`	string	content of the element in markdown format content of the result formatted in the markdown markup language
`fan_out_queries`	array	array of fan-out queries contains related search queries derived from the main query to provide a more comprehensive response
`brand_entities`	array	array of brand entities contains information on brands mentioned in the response
`type`	string	type of the element = 'chat_gpt_brand_entity'
`title`	string	name of the brand
`category`	string	category of the brand
`markdown`	string	brand name in markdown format contains brand name formatted in the markdown markup language
`urls`	array	array of URLs and domains relevant to the brand
`url`	string	URL
`domain`	string	domain
`se_results_count`	integer	total number of results
`item_types`	array	types of search results contains types of search results (`items`) found. possible item types: `chat_gpt_text`, `chat_gpt_table`, `chat_gpt_navigation_list`, `chat_gpt_images`, `chat_gpt_local_businesses`, `chat_gpt_products`
`items_count`	integer	the number of results returned in the `items`* array*
`items`	array	elements of ChatGPT results
`chat_gpt_text`	object	element in the response
`type`	string	type of element='chat_gpt_text'
`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
`markdown`	string	content of the element in markdown format content of the result formatted in the markdown markup language
`sources`	array	array of sources
`type`	string	type of element='chat_gpt_source'
`title`	string	source title
`snippet`	string	source description
`domain`	string	source domain
`url`	string	source URL
`thumbnail`	string	source thumbnail
`source_name`	string	source name
`publication_date`	string	date and time when the result was published in the format: “year-month-date:minutes:UTC_difference_hours:UTC_difference_minutes” example: `2019-11-15 12:57:46 +00:00`
`markdown`	string	content of the element in markdown format content of the result formatted in the markdown markup language
`brand_entities`	array	array of brand entities contains information on brands mentioned in the text
`type`	string	type of the element = 'chat_gpt_brand_entity'
`title`	string	name of the brand
`category`	string	category of the brand
`markdown`	string	brand name in markdown format contains brand name formatted in the markdown markup language
`urls`	array	array of URLs and domains relevant to the brand
`url`	string	URL
`domain`	string	domain
`chat_gpt_table`	object	element in the response
`type`	string	type of element='chat_gpt_table'
`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
`text`	string	text of the element
`markdown`	string	content of the element in markdown format content of the result formatted in the markdown markup language
`table`	object	table present in the element the header and content of the table present in the element
`table_header`	array	content in the header of the table
`table_content`	array	array of contents of the table present in the element each array represents the table row
`brand_entities`	array	array of brand entities contains information on brands mentioned in the table
`type`	string	type of the element = 'chat_gpt_brand_entity'
`title`	string	name of the brand
`category`	string	category of the brand
`markdown`	string	brand name in markdown format contains brand name formatted in the markdown markup language
`urls`	array	array of URLs and domains relevant to the brand
`url`	string	URL
`domain`	string	domain
`chat_gpt_navigation_list`	object	element in the response
`type`	string	type of element='chat_gpt_navigation_list'
`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 element
`sources`	array	array of sources
`type`	string	type of element='chat_gpt_source'
`title`	string	source title
`snippet`	string	source description
`domain`	string	source domain
`url`	string	source URL
`thumbnail`	string	source thumbnail
`source_name`	string	source name
`publication_date`	string	date and time when the result was published in the format: “year-month-date:minutes:UTC_difference_hours:UTC_difference_minutes” example: `2019-11-15 12:57:46 +00:00`
`markdown`	string	content of the element in markdown format content of the result formatted in the markdown markup language
`chat_gpt_images`	object	element in the response
`type`	string	type of element='chat_gpt_images'
`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
`markdown`	string	content of the element in markdown format content of the result formatted in the markdown markup language
`items`	array	items present in the element
`type`	string	type of element = 'chat_gpt_images_element'
`alt`	string	alt tag of the image
`url`	string	relevant URL
`image_url`	string	URL of the image the URL leading to the image on the original resource or DataForSEO storage (in case the original source is not available)
`markdown`	string	content of the element in markdown format content of the result formatted in the markdown markup language
`chat_gpt_local_businesses`	object	element in the response
`type`	string	type of element='chat_gpt_local_businesses'
`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
`markdown`	string	content of the element in markdown format content of the result formatted in the markdown markup language
`items`	array	items present in the element
`type`	string	type of element = 'chat_gpt_local_businesses_element'
`title`	string	title of the local business
`description`	string	description of the local business
`address`	string	address of the local business
`phone`	string	phone of the local business
`reviews_count`	integer	total number of reviews submitted for the local business
`url`	string	website URL of the local business
`domain`	string	domain name of the local business
`rating`	object	rating of the corresponding local business popularity rate based on reviews as displayed in the results
`rating_type`	string	type of rating here you can find the following elements: `Max5`, `Percents`, `CustomMax`
`value`	float	the average rating based on all reviews
`votes_count`	integer	the number of votes
`rating_max`	integer	the maximum value for a `rating_type`
`chat_gpt_products`	object	element in the response
`type`	string	type of element='chat_gpt_products'
`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	items present in the element
`type`	string	type of element = 'chat_gpt_products_element'
`product_id`	string	product id
`merchants`	string	merchant(s) offering the product
`id_to_token_map`	string	product identifier token Base64-encoded token containing Google Shopping product IDs associated with the product
`title`	string	title of the product
`rating`	object	rating of the product popularity rate based on reviews and displayed in SERP
`rating_type`	string	type of rating here you can find the following elements: `Max5`, `Percents`, `CustomMax`
`value`	float	the average rating based on all reviews
`votes_count`	integer	the number of votes
`rating_max`	integer	the maximum value for a `rating_type`
`price`	float	product price
`currency`	string	currency of the listed price ISO code of the currency applied to the price
`tag`	string	tag text
`url`	string	result URL
`domain`	string	result domain
`images`	array	image URLs of the element contains URLs leading to the images on the original resource or DataForSEO storage (in case the original source is not available)
`product_ids`	array	Google Shopping product identifiers array of Google Shopping product IDs associated with the product
`type`	string	type of element = 'chat_gpt_google_shopping_product'
`ei`	string	event identifier internal event identifier used by Google
`product_id`	string	product identifier can be used as a `data_docid` in Google Shopping API endpoints
`catalog_id`	string	Google Shopping catalog identifier of the product can be used as a `product_id` in Google Shopping API endpoints
`gpcid`	string	Google product cluster identifier can be used as a `gid` in Google Shopping API endpoints
`headline_offer_docid`	string	document identifier of the main offer in the headline can be used as a `data_docid` in Google Shopping API endpoints
`image_docid`	string	identifier for the displayed product’s image
`rds`	string	resource descriptor string internal Google resource descriptor string that identifies the product within Google's Shopping index
`query`	string	search query search query used by ChatGPT to retrieve the product from Google Shopping
`mid`	string	merchant identifier identifier of the seller or merchant account in Google Shopping
`pvt`	string	product view type internal Google parameter that specifies the product view type used when rendering the product item
`uule`	string	encoded location parameter indicates the location for a search
`gl`	string	country code indicates the location for which search results are displayed
`hl`	string	host language code indicates the language in which search results are displayed

‌‌

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/ai_optimization/chat_gpt/llm_scraper/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/ai_optimization/chat_gpt/llm_scraper/tasks_ready
	// in addition to 'chat_gpt' and 'llm_scraper' you can also set other search engine and type parameters
	// the full list of possible parameters is available in documentation
	$tasks_ready = $client->get('/v3/ai_optimization/chat_gpt/llm_scraper/tasks_ready');
	// you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
	if (isset($tasks_ready['status_code']) AND $tasks_ready['status_code'] === 20000) {
		foreach ($tasks_ready['tasks'] as $task) {
			if (isset($task['result'])) {
				foreach ($task['result'] as $task_ready) {
					// #2 - using this method you can get results of each completed task
					// GET /v3/ai_optimization/chat_gpt/llm_scraper/task_get/advanced/$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/ai_optimization/chat_gpt/llm_scraper/task_get/advanced/$id
					/*
					if (isset($task_ready['id'])) {
						$result[] = $client->get('/v3/ai_optimization/chat_gpt/llm_scraper/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/ai_optimization/chat_gpt/llm_scraper/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/ai_optimization/chat_gpt/llm_scraper/tasks_ready
# in addition to 'chatgpt' and 'ai_mode' you can also set other search engine and type parameters
# the full list of possible parameters is available in documentation
response = client.get("/v3/ai_optimization/chat_gpt/llm_scraper/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/ai_optimization/chat_gpt/llm_scraper/task_get/advanced/$id
                if(resultTaskInfo['endpoint_advanced']):
                    results.append(client.get(resultTaskInfo['endpoint_advanced']))
                '''
                # 3 - another way to get the task results by id
                # GET /v3/ai_optimization/chat_gpt/llm_scraper/task_get/advanced/$id                
                if(resultTaskInfo['id']):
                    results.append(client.get("/v3/ai_optimization/chat_gpt/llm_scraper/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 ai_optimization_llm_scraper_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/ai_optimization/chat_gpt/llm_scraper/tasks_ready
            // in addition to 'chatgpt' and 'ai_mode' 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/ai_optimization/chat_gpt/llm_scraper/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)
            {
                foreach (var tasks in tasksInfo.tasks)
                {
                    if (tasks.First.result != null)
                    {
                        foreach (var task in tasks.First.result)
                        {
                            if (task.endpoint_advanced != null)
                            {
                                // #2 - using this method you can get results of each completed task
                                // GET /v3/ai_optimization/chat_gpt/llm_scraper/task_get/advanced/$id
                                var tasksGetResponse = await httpClient.GetAsync((string)task.endpoint_advanced);
                                var tasksResultObj = JsonConvert.DeserializeObject<dynamic>(await tasksGetResponse.Content.ReadAsStringAsync());
                                if (tasksResultObj.tasks != null)
                                {
                                    foreach (var taskResult in tasksResultObj.tasks)
                                    {
                                        var fst = taskResult.First;
                                        // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
                                        if (fst.status_code >= 40000 || fst.result == null)
                                            Console.WriteLine($"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/ai_optimization/chat_gpt/llm_scraper/task_get/advanced/$id
                                /*
                                var tasksGetResponse = await httpClient.GetAsync("/v3/ai_optimization/chat_gpt/llm_scraper/task_get/advanced/" + (string)task.id);
                                var tasksResultObj = JsonConvert.DeserializeObject<dynamic>(await tasksGetResponse.Content.ReadAsStringAsync());
                                if (tasksResultObj.tasks != null)
                                {
                                    foreach (var taskResult in tasksResultObj.tasks)
                                    {
                                        var fst = taskResult.First;
                                        // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
                                        if (fst.status_code >= 40000 || fst.result == null)
                                            Console.WriteLine($"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": "0.1.20250723",
  "status_code": 20000,
  "status_message": "Ok.",
  "time": "0.1703 sec.",
  "cost": 0,
  "tasks_count": 1,
  "tasks_error": 0,
  "tasks": [
    {
      "id": "07231424-0696-0066-1000-8cb255c6cd3b",
      "status_code": 20000,
      "status_message": "Ok.",
      "time": "0.0672 sec.",
      "cost": 0,
      "result_count": 1,
      "path": [
        "v3",
        "ai_optimization",
        "chat_gpt",
        "llm_scraper",
        "task_get",
        "advanced",
        "07231424-0696-0066-1000-8cb255c6cd3b"
      ],
      "data": {
        "api": "ai_optimization",
        "function": "llm_scraper",
        "se": "chat_gpt",
        "language_code": "en",
        "location_code": 2840,
        "keyword": "albert einstein",
        "device": "desktop",
        "os": "windows"
      },
      "result": [
        {
          "keyword": "albert einstein",
          "location_code": 2840,
          "language_code": "en",
          "model": "gpt-4o",
          "check_url": "https://chatgpt.com/?q=albert%20einstein&hints=search",
          "datetime": "2025-08-14 09:26:26 +00:00",
          "markdown": "![en.wikipedia.org/wiki/al...] Interested in diving deeper? Let me know if you'd like to explore any particular facet—his papers, quotes, or maybe his influence on modern physics!nn",
          "search_results": [
            {
              "type": "chatgpt_search_result",
              "url": "https://www.britannica.com/biography/Albert-Einstein?utm_source=chatgpt.com",
              "domain": "www.britannica.com",
              "title": "Albert Einstein | Biography, Education, Discoveries, & Facts | Britannica",
              "description": "Ask the Chatbot Games & Quizzes History & Society Science & Tech Biographies Animals & Nature Geography & Travel Arts & Culture ProCon Money Videos  Albert Einstein  Albert Einstein  ALBERT EINSTEIN...",
              "breadcrumb": "britannica.com"
            }
          ],
          "sources": [
            {
              "type": "chat_gpt_source",
              "title": "Albert Einstein",
              "snippet": null,
              "domain": "en.wikipedia.org",
              "url": "https://en.wikipedia.org/wiki/Albert_Einstein?utm_source=chatgpt.com",
              "thumbnail": null,
              "source_name": "Wikipedia",
              "publication_date": "2025-08-13 22:16:33 +00:00",
              "markdown": null
            },
            {
              "type": "chat_gpt_source",
              "title": "Albert Einstein: Biography, Physicist, Nobel Prize Winner",
              "snippet": null,
              "domain": "www.biography.com",
              "url": "https://www.biography.com/scientists/albert-einstein?utm_source=chatgpt.com",
              "thumbnail": null,
              "source_name": "Biography",
              "publication_date": null,
              "markdown": null
            },
            {
              "type": "chat_gpt_source",
              "title": "Annus mirabilis papers",
              "snippet": null,
              "domain": "en.wikipedia.org",
              "url": "https://en.wikipedia.org/wiki/Annus_mirabilis_papers?utm_source=chatgpt.com",
              "thumbnail": null,
              "source_name": "Wikipedia",
              "publication_date": "2025-07-06 19:19:49 +00:00",
              "markdown": null
            }
          ],
          "fan_out_queries": [
            "Albert Einstein biography"
          ],
          "brand_entities": [
            {
              "type": "chat_gpt_brand_entity",
              "title": "SEMrush",
              "category": "software",
              "markdown": "SEMrush",
              "urls": null
            },
            {
              "type": "chat_gpt_brand_entity",
              "title": "Google Analytics",
              "category": "software",
              "markdown": "Google Analytics",
              "urls": null
            }
          ],
          "se_results_count": 0,
          "item_types": [
            "chat_gpt_images",
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              "markdown": "| Contribution                    | Impact                                                                 |n|----------------------------------|------------------------------------------------------------------------|n| Photoelectric Effect             | Laid foundations for quantum mechanics and practical light-based tech  |n| Brownian Motion                  | Cemented atomic theory                                                |n| Special & General Relativity     | Revolutionized understanding of spacetime and gravity                 |n| E = mc²                          | Established mass-energy equivalence—key to nuclear physics            |n| Everyday tech                    | Powering lasers, GPS, solar cells, devices using photoelectric cells  |nn",
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