ScrapeGraphAI is a web scraping and data extraction platform built on top of large language models (LLMs). It enables users to extract structured data from websites, HTML pages, PDFs, and other sources by describing what data they need in natural language, rather than writing traditional scraping scripts or XPath selectors. The platform offers a Python library (open-source) as well as a cloud API service, allowing developers and data teams to integrate AI-driven scraping into their workflows. ScrapeGraphAI supports multiple LLM backends and can handle dynamic, complex web pages. The cloud offering provides managed infrastructure, higher throughput, and API access for production use cases. It is designed to reduce the engineering effort typically associated with maintaining web scrapers, as the AI adapts to changes in page structure automatically. Use cases include competitive intelligence, market research, lead generation, content aggregation, and data pipeline automation.
Target audience and deployment
- Solo / Freelancer
- Startup
- SMB
- Mid-market
- Enterprise
- Cloud
- Self-hosted
- API
Key features
Use cases
- Extract structured data from websites using natural language
- Automate competitive intelligence gathering
- Build data pipelines from web sources
- Aggregate content from multiple online sources
- Generate leads by extracting contact and business data
- Parse and extract data from PDFs and documents
Best for
- Developers who need to extract structured web data without maintaining brittle scraping scripts
- Data engineers who need to automate web data ingestion into pipelines
- Analysts who need to gather competitive or market intelligence from multiple websites
- Startups who need scalable web scraping without dedicated infrastructure
Integrations
Developer
Python
AI models included
OpenAI, Anthropic, Ollama, Gemini