---
title: "Gemini LLM Scraper: Overview"
url: "https://docs.dataforseo.com/v3/ai_optimization/gemini/llm_scraper/overview/"
date: "2026-06-06"
---

# Gemini LLM Scraper: Overview

 ![checked](https://docs.dataforseo.com/v3/wp-content/themes/dataforseo/assets/img/icons/checked-circle.svg) This API provides structured results from Gemini 

Gemini LLM Scraper API allows you to retrieve structured and detailed results from Gemini, based on the keyword and other input paramaters. You can use this API to understand how Gemini responds to specific search queries, explore which sources and brands it quotes in its responses.

### Gemini LLM Scraper functions

   
• [Gemini LLM Scraper Advanced endpoint](https://docs.dataforseo.com/v3/ai_optimization/gemini/llm_scraper/live/advanced.md) provides results from Gemini, based on specified keyword and other input parameters.

• [Gemini LLM Scraper HTML endpoint](https://docs.dataforseo.com/v3/ai_optimization/gemini/llm_scraper/live/html.md) provides a raw HTML page of Gemini results for the specified keyword, search engine, and location.

To find answers on common questions about DataForSEO APIs and find guidance on most efficient use, [visit our Help Center.](https://dataforseo.com/help-center/category/ai-optimization-api)

### Methods

   
The cost of using Gemini LLM Scraper API depends on the selected method and priority of task execution. Available methods and priorities are described below.

DataForSEO has two main methods to deliver the results: Standard and Live.

If your system requires delivering instant results, **[the Live method](https://docs.dataforseo.com/v3/ai_optimization/gemini/llm_scraper/live/advanced.md)** is the best solution for you. Unlike the Standard method, this method doesn’t require making separate POST and GET requests to the corresponding endpoints.

If you don’t need to receive data in real-time, you can use **[the Standard method](https://docs.dataforseo.com/v3/ai_optimization/gemini/llm_scraper/task_post.md)** of data retrieval. This method requires making separate POST and GET requests, but it’s more affordable. Using this method, you can retrieve the results after our system collects them.

Alternatively, you can specify `pingback_url` or `postback_url` when setting a task, and we will notify you on completion of tasks or send them to you respectively.

If you need to set several tasks, you can receive the list of id for all completed tasks using **[‘Tasks Ready’](https://docs.dataforseo.com/v3/ai_optimization/gemini/llm_scraper/tasks_ready.md)** endpoint, and then collect the results of each separate task using **[‘Task GET’](https://docs.dataforseo.com/v3/ai_optimization/gemini/llm_scraper/task_get/advanced.md)** endpoint.

Learn more about task completion and obtaining a list of completed tasks in [this Help Center article](https://dataforseo.com/help-center/completed-tasks).

You can send up to 2000 API calls per minute. Contact us if you would like to raise the limit.

Execution time for tasks set with the [Live Gemini LLM Scraper endpoint](https://docs.dataforseo.com/v3/ai_optimization/gemini/llm_scraper/live/advanced.md) is currently **up to 120 seconds**.

### Priorities and Cost

   
The Live method delivers results in real-time, and accordingly, the cost of requests made using this method will be the highest.

The Standard method has two different priorities that stand for the relative speed of task execution and have different prices:

1\. Normal priority;  
2\. High priority.

The cost can be calculated on the [Pricing](https://dataforseo.com/pricing/ai-optimization/llm-scraper "Pricing") page. You can check your spending in your [account dashboard](https://app.dataforseo.com/api-access) or by making a separate call to [the User Data endpoint](https://docs.dataforseo.com/v3/appendix/user_data.md)

You can test Gemini LLM Scraper API for free using DataForSEO [Sandbox.](https://docs.dataforseo.com/v3/appendix/sandbox.md)

 

 









> Instead of ‘login’ and ‘password’ use your credentials from https://app.dataforseo.com/api-access



 

  cURL   php   Node.js   Python   cSharp