ScrapeGraphAI
LLM-powered web scraping pipelines that need no CSS selectors.
About
ScrapeGraphAI is an open-source Python library that turns natural-language prompts into web scraping pipelines. Instead of writing brittle selector-based scripts, you describe what to extract and it uses an LLM plus graph logic to understand page structure and return structured data.
Its signature SmartScraperGraph extracts information from a single page given a prompt and URL, and it can also generate standalone scraping scripts through ScriptCreatorGraph. It integrates with LangChain, LlamaIndex, CrewAI and Agno, exposes an MCP server for agent use, and offers a managed cloud API alongside the open-source library. Install with pip install scrapegraphai, then playwright install for JS-rendered pages.
What it can do
- Prompt-based scraping with SmartScraperGraph pipelines
- Script generation that outputs standalone Python scrapers
- Works with local documents as well as live websites
- Integrations with LangChain, LlamaIndex, CrewAI and MCP clients
Setup
pip install scrapegraphai, then playwright install for headless browser support.
Prerequisites
Python and an LLM API key (OpenAI, Gemini, Groq) or a local model via Ollama.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 92; Trending score 80/100 from researcher assessment.
Sources
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