Overview
ScrapeGraphAI is a developer-focused scraping toolkit that leverages large language models and graph-based extraction to transform web pages and local documents (HTML, JSON, Markdown, etc.) into structured data. It provides ready-made pipelines (e.g., SmartScraperGraph), Python and Node.js SDKs, and integrations with popular RAG and LLM frameworks to accelerate data engineering and knowledge ingestion workflows.
Key Features
- Graph-driven scraping pipelines and prompt-driven extractors for flexible field extraction.
- Official SDKs for Python and JavaScript, with support for local and cloud LLM backends.
- Integrations with LangChain, LlamaIndex and other frameworks; usable in production pipelines.
- Extensible pipeline components for parsing, cleaning, and exporting results to downstream stores.
Use Cases
- Batch extraction from news, product pages and catalogs for search, analytics, and monitoring.
- Building knowledge bases for RAG systems by converting web content into searchable documents.
- Rapid prototyping of extraction tasks with minimal configuration and a few prompts.
Technical Notes
- Combines LLM reasoning with explicit graph structures to improve extraction accuracy on complex pages.
- Supports concurrency and distributed scraping for scale and reliability.
- Open-source under MIT license; examples and tests are included in the repository.