
ScrapeGraphAI
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.
Quick Info
Screenshots


Key Features
LLM-Powered Extraction
Uses advanced language models to understand website content and extract specific data points without brittle CSS selectors.
Adaptive Scraping
Automatically adjusts to website changes and variations in layout, reducing maintenance work.
Flexible Model Selection
Works with multiple LLM providers including GPT, Gemini, Groq, Azure, Hugging Face, and local models via Ollama.
Multi-Format Support
Handles various document formats including HTML, XML, JSON, and Markdown files.
Use Cases
E-commerce Data Collection
Extract product information, prices, reviews, and availability from retail websites for market research or competitive analysis.
Content Aggregation
Extract articles, news, and content from multiple sources to build aggregation services or content databases.
Research Data Gathering
Collect structured data from academic websites, publications, or specialized databases for research projects.
Business Intelligence
Gather company information, pricing data, or industry statistics from public websites for business intelligence purposes.
Pricing
Open-source library with self-hosted option. API service available with pricing tiers from $20 / m
Setup Steps
- 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