9 Best GPT Scrapers in 2025 (Updated)

Web scraping just got smarter with the best GPT scrapers that automate data extraction. These AI-powered tools combine machine learning with web scraping to collect structured data from any website without writing complex code. Advanced GPT models now handle everything from bypassing captchas to cleaning and formatting the extracted information.

Nine robotic machines interacting with floating data elements in a modern workspace representing web scraping tools.

The latest generation of AI scraping tools makes data collection accessible to everyone, not just developers. These tools analyze webpage structures, generate custom scraping code, and deliver clean data in your preferred format - all while maintaining high accuracy and saving countless hours of manual work.

1. GPT Scraper by Apify

GPT Scraper transforms website content using OpenAI's API to create structured data. The tool loads pages through Playwright, converts content to markdown format, and processes it through GPT. When content exceeds GPT limits, the system automatically handles truncation to ensure smooth operation.

Pricing: The cost is $0.009 per processed page, which includes OpenAI API fees. Each new Apify account receives $5 monthly credit, enabling users to process up to 555 pages at no cost.

Key features:

Automatic content conversion to markdown format
Customizable GPT instructions for each page
CSS selector support for link discovery
Flexible URL pattern matching with glob patterns
Built-in proxy configuration options
JSON schema formatting for structured data output
Page skipping capabilities through custom prompts
Automatic content truncation for GPT token limits
Simple integration with the OpenAI API
Real-time processing status monitoring

2. dirkjbreeuwer/gpt-automated-web-scraper

The GPT-based Universal Web Scraper MVP is a powerful tool that creates custom web scrapers using GPT models and web scraping libraries. This solution takes user input and analyzes websites to generate scraper code automatically, making data extraction much simpler for developers and researchers.

Pricing: Free and open-source, available on GitHub for anyone to use and modify.

Key features:

Automated code generation based on website analysis
Integration with modern web scraping libraries
User-friendly input system for specifying scraping requirements
Built-in website analysis capabilities
Support for multiple data extraction patterns
Clean code output that can be modified and extended
Stealth features to make scraping appear more human-like
Compatible with common web scraping frameworks

3. GPTScraper API (SearchGPT)

GPTScraper is a real-time API service that enables automated access to SearchGPT data. The platform handles complex technical challenges like captcha solving and proxy management, making it easier for developers to integrate SearchGPT capabilities into their applications.

Pricing: The service offers custom pricing plans based on API usage and specific requirements. Interested users need to book a demo to discuss pricing options that fit their needs.

Key features:

Seamless API integration for retrieving SearchGPT data
Built-in captcha solving and proxy rotation
Real-time data access and processing
Developer-friendly documentation and support
Automated data extraction capabilities
Custom configuration options for different use cases
Reliable and scalable infrastructure

4. Axiom.ai ChatGPT Web Scraping Bot

Axiom.ai is a no-code web scraping tool that integrates with ChatGPT to create powerful data extraction bots. The platform uses a simple point-and-click interface to build automated scrapers without any coding knowledge. Users can extract data from websites, process it through ChatGPT, and store results in spreadsheets.

Pricing: The platform offers a free trial with limited features. Paid plans start at $50 per month for individual users, with team and enterprise options available for larger organizations.

Key features:

No-code bot builder with drag-and-drop interface
Direct integration with ChatGPT for AI-powered data processing
Custom scraping workflows that can handle multiple pages
Ability to extract text, images, tables and structured data
Chrome browser extension for easy automation setup
Export options to CSV, Excel, and Google Sheets
Built-in scheduling for automated data collection
Anti-blocking features to avoid detection
Cloud-based storage for scraped data
Visual workflow editor for creating complex scraping sequences

5. Parsera

Parsera is a powerful AI-driven web scraping platform that uses large language models for data extraction. The tool employs advanced LLM technology like GPT-4 to understand webpage content and extract data using natural language instructions. Users can turn their scraping tasks into reusable scripts with a single click.

Pricing: The platform offers multiple pricing tiers including a free plan for basic usage. Paid plans start with more advanced features and higher usage limits.

Key features:

AI-powered semantic data extraction using LLMs for accurate results
Simple prompt-based scraping without coding knowledge required
Ability to convert one-time scrapes into reusable scripts for batch processing
Integration with popular platforms like MAKE and n8n
Support for custom LLM models through LangChain
Cloud-based processing with scalable infrastructure
Built-in data transformation capabilities
Works with dynamic and frequently changing webpage structures

6. FireCrawl Scrape API

FireCrawl is a specialized web scraping API that converts web pages into clean markdown format, making it ideal for LLM and AI applications. The service handles complex scraping challenges like dynamic JavaScript content, rate limiting, and proxy management while delivering structured data in an easy-to-use format.

FireCrawl works efficiently with both static and dynamic websites, processing JavaScript-rendered content and converting various file types including PDFs and images into usable text data. The API is built with AI applications in mind, ensuring the output is optimized for language models.

Pricing: The service offers multiple pricing tiers based on usage needs, with options for both individual developers and enterprise clients. Each plan includes different levels of API access and request volumes.

Key features:

Clean markdown output optimized for LLM applications
Automatic handling of JavaScript-rendered content
Built-in proxy management and rate limiting
Support for PDF and image content extraction
Structured data output options
Screenshot capabilities
Caching system for faster results
API-first architecture for easy integration
Support for both single URLs and bulk scraping

7. Extended GPT Scraper by drobnikj

Extended GPT Scraper is a specialized web scraping tool that combines website content extraction with OpenAI's API processing capabilities. The tool scrapes content from specified URLs and sends it through GPT models to transform or analyze the text according to user instructions.

Pricing: The tool is available on the Apify platform with pricing based on compute units and OpenAI API usage. Users need both an Apify account and their own OpenAI API key to use the service.

Key features:

Customizable GPT model selection for content processing
Support for multiple webpage URLs and batch processing
Adjustable crawling depth and page limits for efficient scraping
User-defined instructions for GPT processing of scraped content
Integration with Apify's robust web scraping infrastructure
Export options for processed data in various formats
Built-in safeguards against infinite crawling
Command-line interface support for automated operations

8. LLM-Scraper

LLM-Scraper is a TypeScript library that lets developers extract structured data from any webpage using large language models. It works by processing webpage content through LLMs to identify and extract specific information based on user-defined schemas, making web scraping more flexible and intelligent than traditional HTML parsing methods.

Pricing: Free and open-source software available on GitHub. Users only need to pay for their chosen LLM provider's API costs if using cloud services like OpenAI.

Key Features:

Supports multiple LLM providers including local options (Ollama, GGUF) and cloud services (OpenAI, Vercel AI SDK)
Full TypeScript support with complete type safety
Uses Zod for schema definition and validation
Works with both local and cloud-based LLM models
Flexible data extraction based on user-defined requirements
Simple integration with existing TypeScript projects
Built-in error handling and validation
Compatible with modern web frameworks

9. Custom LangChain GPT Scrapers

LangChain enables developers to build their own web scrapers powered by GPT models. This tool combines Python scraping capabilities with GPT-4 to create flexible and adaptable scraping solutions. Users can extract specific data from websites without writing complex parsing rules.

You can use BeautifulSoup with GPT to create custom scraping tools that understand natural language instructions. The system processes HTML content and extracts relevant information based on user requirements.

Pricing: The cost depends on your GPT API usage and chosen LangChain components. Basic implementation is free, but you'll need to pay for OpenAI API credits.

Key features:

Natural language processing for data extraction
Integration with popular Python libraries like BeautifulSoup
Automated scraper generation for any website
Flexible customization options for specific scraping needs
Support for both simple and complex web structures
Built-in error handling and validation
Ability to process multiple pages simultaneously
Compatible with various GPT models

Conclusion

After reviewing all the options, the Best GPT scraper is Apify because of its reliable performance, extensive features, and seamless OpenAI API integration. Its ability to handle complex websites, automatic content formatting, and built-in ChatGPT analysis tools make it stand out among competitors.

AI-powered web scraping continues to evolve rapidly. The tools mentioned above offer unique strengths for different use cases.

Choose a scraper based on your specific needs - whether that's ease of use, customization options, or processing speed. Remember that proper rate limiting and website terms of service compliance remain important considerations.

The future of web scraping looks bright as these tools become more sophisticated. Regular updates and improvements will likely bring even better features and capabilities.