ai_optimization/chat_gpt/llm_scraper/live/advanced

Live ChatGPT LLM Scraper Advanced

‌‌
Live ChatGPT LLM Scraper endpoint provides results from ChatGPT searches. The results are specific to the selected location (see the List of Locations) and language (see the List of Languages) parameters.

POST

The cost of the task can be calculated on the Pricing page.

All POST data should be sent in the JSON format (UTF-8 encoding). The task setting is done using the POST method. When setting a task, you should send all task parameters in the task array of the generic POST array. You can send up to 2000 API calls per minute, each Live ChatGPT LLM Scraper API call can contain only one task.

Execution time for tasks set with the Live ChatGPT LLM Scraper endpoint is currently up to 120 seconds.

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

Field name	Type	Description
`keyword`	string	keyword required field you can specify up to 2000 characters in the `keyword` field all %## will be decoded (plus character ‘+’ will be decoded to a space character) if you need to use the “%” character for your `keyword`, please specify it as “%25”; if you need to use the “+” character for your `keyword`, please specify it as “%2B” learn more about rules and limitations of `keyword` and `keywords` fields in DataForSEO APIs in this Help Center article
`location_name`	string	full name of search engine location 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 the `https://api.dataforseo.com/v3/ai_optimization/chat_gpt/llm_scraper/locations` example: `United States`
`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 the `https://api.dataforseo.com/v3/ai_optimization/chat_gpt/llm_scraper/locations` example: `2840`
`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/ai_optimization/chat_gpt/llm_scraper/languages`
`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/ai_optimization/chat_gpt/llm_scraper/languages`
`force_web_search`	boolean	force AI agent to use web search optional field when enabled, the AI model is forced to access and cite current web information; default value: `false`; Note: even if the parameter is set to `true`, there is no guarantee web sources will be cited in the response
`tag`	string	user-defined task identifier optional field the character limit is 255 you can use this parameter to identify the task and match it with the result you will find the specified `tag` value in the `data` object of the response

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

Field name	Type	Description
`version`	string	the current version of the API
`status_code`	integer	general status code you can find the full list of the response codes here Note: we strongly recommend designing a necessary system for handling related exceptional or error conditions
`status_message`	string	general informational message you can find the full list of general informational messages here
`time`	string	execution time, seconds
`cost`	float	total tasks cost, USD
`tasks_count`	integer	the number of tasks in the `tasks`* array*
`tasks_error`	integer	the number of tasks in the `tasks`* array returned with an error*
`tasks`	array	array of tasks
`id`	string	task identifier unique task identifier in our system in the UUID format
`status_code`	integer	status code of the task generated by DataForSEO; can be within the following range: 10000-60000 you can find the full list of 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'n
`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
`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 in SERP. 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 in SERP
`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'n
`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
`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 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
`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 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`
`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 in SERP
`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)" 
curl --location --request POST "https://api.dataforseo.com/v3/ai_optimization/chat_gpt/llm_scraper/live/advanced" 
--header "Authorization: Basic ${cred}"  
--header "Content-Type: application/json" 
--data-raw '[
    {
        "language_code": "en",
        "location_code": 2840,
        "keyword": "albert einstein"
    }
]'

<?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
$post_array[] = array(
   "language_code" => "en",
   "location_code" => 2840,
   "keyword" => mb_convert_encoding("albert einstein", "UTF-8")
);
if (count($post_array) > 0) {
try {
    // POST /v3/ai_optimization/chat_gpt/llm_scraper/live/advanced
    // 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
    $result = $client->post('/v3/ai_optimization/chat_gpt/llm_scraper/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/ai_optimization/chat_gpt/llm_scraper/live/advanced',
    auth: {
        username: 'login',
        password: 'password'
    },
    data: [{
    "language_code": "en",
    "location_code": 2840,
    "keyword": encodeURI("albert einstein")
    }],
    headers: {
        'content-type': 'application/json'
    }
}).then(function (response) {
    var result = response['data']['tasks'];
    // Result data
    console.log(result);
}).catch(function (error) {
    console.log(error);
});

"""
Method: POST
Endpoint: https://api.dataforseo.com/v3/ai_optimization/chat_gpt/llm_scraper/live/advanced
@see https://docs.dataforseo.com/v3/ai_optimization/chat_gpt/llm_scraper/live/advanced
"""

import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '../../../../../')))
from lib.client import RestClient
from lib.config import username, password
client = RestClient(username, password)

post_data = []
post_data.append({
    language_code="en",
    location_code=2840,
    keyword="albert einstein"
    })
try:
    response = client.post('/v3/ai_optimization/chat_gpt/llm_scraper/live/advanced', post_data)
    print(response)
    # do something with post result
except Exception as e:
    print(f'An error occurred: {e}')

using System;
using System.Linq;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Collections.Generic;
using System.Threading.Tasks;
using Newtonsoft.Json;
namespace DataForSeoSdk;

public class AiOptimization
{

    private static readonly HttpClient _httpClient;
    
    static AiOptimization()
    {
        _httpClient = new HttpClient
        {
            BaseAddress = new Uri("https://api.dataforseo.com/")
        };
        _httpClient.DefaultRequestHeaders.Authorization =
            new AuthenticationHeaderValue("Basic", ApiConfig.Base64Auth);
    }

    /// <summary>
    /// Method: POST
    /// Endpoint: https://api.dataforseo.com/v3/ai_optimization/chat_gpt/llm_scraper/live/advanced
    /// </summary>
    /// <see href="https://docs.dataforseo.com/v3/ai_optimization/chat_gpt/llm_scraper/live/advanced"/>
    
    public static async Task ChatGptLlmResponsesLive()
    {
        var postData = new List<object>();
        // a simple way to set a task, the full list of possible parameters is available in documentation
        postData.Add(new
        {
                language_name = "English",
                location_name = "United States",
                keyword = "albert einstein"
        });

        var content = new StringContent(JsonConvert.SerializeObject(postData), Encoding.UTF8, "application/json");
        using var response = await _httpClient.PostAsync("/v3/ai_optimization/chat_gpt/llm_scraper/live/advanced", content);
        var result = JsonConvert.DeserializeObject<dynamic>(await response.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": "0.1.20250724",
  "status_code": 20000,
  "status_message": "Ok.",
  "time": "15.0903 sec.",
  "cost": 0.004,
  "tasks_count": 1,
  "tasks_error": 0,
  "tasks": [
    {
      "id": "08061654-0696-0629-0000-9d8abd5829ae",
      "status_code": 20000,
      "status_message": "Ok.",
      "time": "15.0329 sec.",
      "cost": 0.004,
      "result_count": 1,
      "path": [
        "v3",
        "ai_optimization",
        "chat_gpt",
        "llm_scraper",
        "live",
        "advanced"
      ],
      "data": {
        "api": "ai_optimization",
        "function": "llm_scraper",
        "se": "chat_gpt",
        "force_web_search": true,
        "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",
            "chat_gpt_text",
            "chat_gpt_table",
            "chat_gpt_products",
            "chat_gpt_local_businesses",
            "chat_gpt_navigation_list"
          ],
          "items_count": 5,
          "items": [
            {
              "type": "chat_gpt_images",
              "rank_group": 1,
              "rank_absolute": 1,
              "markdown": "![en.wikipedia.org/wiki/al...](https://upload.wikimedia.org/wikipedia/commons/thumb/1/14/Albert_Einstein_1947.jpg/960px-Albert_Einstein_1947.jpg)",
              "items": [
                {
                  "type": "chat_gpt_images_element",
                  "url": "https://en.wikipedia.org/wiki/Albert_Einstein?utm_source=chatgpt.com",
                  "alt": "en.wikipedia.org/wiki/al...",
                  "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/1/14/Albert_Einstein_1947.jpg/960px-Albert_Einstein_1947.jpg",
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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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              "markdown": "n---nnEinstein’s genius extended beyond equations—he left an enduring mark on both science and society. His bold ideas continue to fuel discoveries. 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",
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