AI-powered web scraping tool that uses LLMs to extract structured data from websites and documents without complex coding or maintenance.
CrewAI, LlamaIndex, LangChain, Python, Ollama (for local models), JavaScript/TypeScript
Cloud, On Premise
Intermediate
ScrapeGraphAI is an open-source Python library that revolutionizes web scraping by using Large Language Models (LLMs) and modular graph-based pipelines. It extracts data from websites and local documents like XML, HTML, JSON, and Markdown files. Users simply specify what information they need, and ScrapeGraphAI handles the technical aspects. Unlike traditional scrapers that break when websites change, ScrapeGraphAI adapts to structural changes, reducing maintenance needs. The system works by processing content through LLMs that understand page structure and can identify requested data points without rigid selectors. Scrapegraph is a dynamic technology company dedicated to transforming the way organizations access and utilize online data. By simplifying the complex process of web scraping, we enable businesses, researchers, and developers to effortlessly extract, analyze, and visualize valuable insights from vast digital landscapes. Our platform features advanced scheduling, robust error-handling, and seamless API integrations, ensuring that critical data is not only captured accurately but also integrated smoothly into existing workflows. At Scrapegraph, we are committed to empowering our clients with real-time, actionable intelligence, driving innovation and growth in today’s data-driven world while upholding the highest standards of security and compliance.
Uses advanced language models to understand website content and extract specific data points without brittle CSS selectors.
Automatically adjusts to website changes and variations in layout, reducing maintenance work.
Works with multiple LLM providers including GPT, Gemini, Groq, Azure, Hugging Face, and local models via Ollama.
Handles various document formats including HTML, XML, JSON, and Markdown files.
Extract product information, prices, reviews, and availability from retail websites for market research or competitive analysis.
Extract articles, news, and content from multiple sources to build aggregation services or content databases.
Collect structured data from academic websites, publications, or specialized databases for research projects.
Gather company information, pricing data, or industry statistics from public websites for business intelligence purposes.
Install the library using pip: pip install scrapegraphai
Import the library in your Python script
Configure your preferred LLM provider
Create a scraping pipeline with your extraction requirements
Run the scraper and receive structured data output
AI-powered web scraping tool using natural language queries instead of XPath/DOM selectors for reliable data extraction from any website.
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Open-source LLM-friendly web crawler and scraper for extracting structured data from websites with AI-optimized outputs.
A Node.js and Python library for reliable web scraping and browser automation supporting HTTP requests, Puppeteer, and Playwright with built-in scaling.