# Fixed reference example. Playground inputs do not update this sample.
curl --request POST \
--url https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '[
{
"language_code": "en",
"location_code": 2840,
"keyword": "albert einstein"
}
]'curl --request POST \
--url https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
[
{
"language_code": "en",
"location_code": 2840,
"keyword": "albert einstein"
}
]
'import requests
url = "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced"
payload = [
{
"language_code": "en",
"location_code": 2840,
"keyword": "albert einstein"
}
]
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify([{language_code: 'en', location_code: 2840, keyword: 'albert einstein'}])
};
fetch('https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
[
'language_code' => 'en',
'location_code' => 2840,
'keyword' => 'albert einstein'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced"
payload := strings.NewReader("[\n {\n \"language_code\": \"en\",\n \"location_code\": 2840,\n \"keyword\": \"albert einstein\"\n }\n]")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("[\n {\n \"language_code\": \"en\",\n \"location_code\": 2840,\n \"keyword\": \"albert einstein\"\n }\n]")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "[\n {\n \"language_code\": \"en\",\n \"location_code\": 2840,\n \"keyword\": \"albert einstein\"\n }\n]"
response = http.request(request)
puts response.read_body{
"version": "<string>",
"status_code": 123,
"status_message": "<string>",
"time": "<string>",
"cost": 123,
"tasks_count": 123,
"tasks_error": 123,
"tasks": [
{
"id": "<string>",
"status_code": 123,
"status_message": "<string>",
"time": "<string>",
"cost": 123,
"result_count": 123,
"path": [
"<string>"
],
"data": {},
"result": [
{
"keyword": "<string>",
"location_code": 123,
"language_code": "<string>",
"model": "<string>",
"datetime": "<string>",
"markdown": "<string>",
"sources": [
{
"type": "<string>",
"title": "<string>",
"snippet": "<string>",
"domain": "<string>",
"url": "<string>",
"thumbnail": "<string>",
"source_name": "<string>",
"publication_date": "<string>",
"markdown": "<string>"
}
],
"se_results_count": 123,
"item_types": [
"<string>"
],
"items_count": 123,
"items": [
{
"original_text": "<string>",
"sources": [
{
"type": "<string>",
"title": "<string>",
"snippet": "<string>",
"domain": "<string>",
"url": "<string>",
"thumbnail": "<string>",
"source_name": "<string>",
"publication_date": "<string>",
"markdown": "<string>"
}
],
"type": "<string>",
"rank_group": 123,
"rank_absolute": 123,
"markdown": "<string>"
}
]
}
]
}
]
}Live Gemini LLM Scraper Advanced
Asks Gemini a keyword as a user would and returns the answer parsed.
# Fixed reference example. Playground inputs do not update this sample.
curl --request POST \
--url https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '[
{
"language_code": "en",
"location_code": 2840,
"keyword": "albert einstein"
}
]'curl --request POST \
--url https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
[
{
"language_code": "en",
"location_code": 2840,
"keyword": "albert einstein"
}
]
'import requests
url = "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced"
payload = [
{
"language_code": "en",
"location_code": 2840,
"keyword": "albert einstein"
}
]
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify([{language_code: 'en', location_code: 2840, keyword: 'albert einstein'}])
};
fetch('https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
[
'language_code' => 'en',
'location_code' => 2840,
'keyword' => 'albert einstein'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced"
payload := strings.NewReader("[\n {\n \"language_code\": \"en\",\n \"location_code\": 2840,\n \"keyword\": \"albert einstein\"\n }\n]")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("[\n {\n \"language_code\": \"en\",\n \"location_code\": 2840,\n \"keyword\": \"albert einstein\"\n }\n]")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "[\n {\n \"language_code\": \"en\",\n \"location_code\": 2840,\n \"keyword\": \"albert einstein\"\n }\n]"
response = http.request(request)
puts response.read_body{
"version": "<string>",
"status_code": 123,
"status_message": "<string>",
"time": "<string>",
"cost": 123,
"tasks_count": 123,
"tasks_error": 123,
"tasks": [
{
"id": "<string>",
"status_code": 123,
"status_message": "<string>",
"time": "<string>",
"cost": 123,
"result_count": 123,
"path": [
"<string>"
],
"data": {},
"result": [
{
"keyword": "<string>",
"location_code": 123,
"language_code": "<string>",
"model": "<string>",
"datetime": "<string>",
"markdown": "<string>",
"sources": [
{
"type": "<string>",
"title": "<string>",
"snippet": "<string>",
"domain": "<string>",
"url": "<string>",
"thumbnail": "<string>",
"source_name": "<string>",
"publication_date": "<string>",
"markdown": "<string>"
}
],
"se_results_count": 123,
"item_types": [
"<string>"
],
"items_count": 123,
"items": [
{
"original_text": "<string>",
"sources": [
{
"type": "<string>",
"title": "<string>",
"snippet": "<string>",
"domain": "<string>",
"url": "<string>",
"thumbnail": "<string>",
"source_name": "<string>",
"publication_date": "<string>",
"markdown": "<string>"
}
],
"type": "<string>",
"rank_group": 123,
"rank_absolute": 123,
"markdown": "<string>"
}
]
}
]
}
]
}keyword as a user would and returns the answer parsed. Returns keyword, location_code, language_code, model, datetime, markdown, sources, se_results_count, item_types, items_count and items. Measured at 26.1 KB - more than twice the ChatGPT equivalent’s payload for the same question. Wrapped in DataForSEO’s envelope: data in tasks[0].result, outcome in tasks[0].status_code - a rejected request still returns HTTP 200. The ChatGPT twin is post_dataforseo_ai_chat_gpt_llm_scraper_live; running both and comparing is the point of this family.
Example
curl -X POST "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_scraper/live/advanced" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '[{"keyword": "...", "location_name": "...", "location_code": "..."}]'
// Copy this whole block into Claude Code, Codex, Cursor or any coding agent.
// It carries everything needed to connect, authorize and run this example —
// no key to paste, one click of Allow in the browser.
{
"operation_id": "post_dataforseo_ai_gemini_llm_scraper_live",
"arguments": {},
"max_price_usd": 0.05
}
// ── for the agent ─────────────────────────────────────────────────────────
// Register the AIsa MCP server, then call its `use` tool with the JSON above.
// name aisa
// endpoint https://mcp.aisa.one/mcp
// transport streamable-http
// auth OAuth. The server publishes RFC 9728 metadata, so open a
// browser and the user clicks Allow once — nothing to paste.
// If AISA_API_KEY is set, send it as a bearer header instead.
// Use your own MCP mechanism, not a hand-edited config file:
// Codex codex mcp add aisa --url https://mcp.aisa.one/mcp
// Claude Code claude mcp add --transport http -s user aisa https://mcp.aisa.one/mcp
// Cursor / VS Code a "url" entry for https://mcp.aisa.one/mcp in the MCP config
// The server lists five tools over https://mcp.aisa.one/servers worth of APIs:
// search, get_details, use, batch_use, list_categories. search and
// get_details are free; use is billed per call and max_price_usd refuses
// anything above the cap before spending. This operation's full contract —
// every argument, the response shape, the price and the pitfalls — is at
// https://aisa.one/docs/api-reference/dataforseo/post_dataforseo-ai-optimization-gemini-llm-scraper-live-advanced.md
// Then run the call and show me the result.
https://mcp.aisa.one/mcp — Claude
Code, Codex, Cursor, VS Code and the rest. Authorization is OAuth: the client
opens a browser, you click Allow once, and there is no key to paste. The
commands per client, and what each call costs, are on
aisa.one/mcp.Cost and request rules
Published reference values are not an account-specific quote or a settled charge. For endpoints supporting X-AISA-Cost-Mode: quote, obtain a free quote for your exact request before execution; reconcile the settled cost with response metadata and Usage Logs. USD amounts use 1,000,000 integer micro-USD per dollar.- Default request reference estimate (USD): 0.701
- Cost contract: response_usd
- Published reference multiplier: 1.0
- Settlement evidence source: response_body
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Body
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
full name of search engine location
required field if you don't specify location_code or location_coordinate
if you use this field, you don't need to specify location_code or location_coordinate
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/gemini/llm_scraper/locations
example:United States
search engine location code
required field if you don't specify location_name or location_coordinate
if you use this field, you don't need to specify location_name or location_coordinate
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/gemini/llm_scraper/locations
example:2840
GPS coordinates of a location
required field if you don't specify location_name or location_code
if you use this field, you don't need to specify location_name or location_code
location_coordinate parameter should be specified in the "latitude,longitude,radius" format
the maximum number of decimal digits for "latitude" and "longitude": 7
the minimum value for "radius": 199 (mm)
the maximum value for "radius": 199999 (mm)
example:
53.476225,-2.243572,200
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/gemini/llm_scraper/languages
example: English
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/gemini/llm_scraper/languages
example: enn
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
[
{
"language_code": "en",
"location_code": 2840,
"keyword": "albert einstein"
}
]
Response
Successful operation
the current version of the API
general status code you can find the full list of the response codes here
general informational message you can find the full list of general informational messages here
total execution time, seconds
total tasks cost, USD
the number of tasks in the tasks array
the number of tasks in the tasks array returned with an error
array of tasks
Show child attributes
Show child attributes