serp.fast

ScrapeGraphAI

Python library using LLMs to scrape websites via natural language prompts – describe what you want in plain English, get structured JSON.

Nathan Kessler
By Nathan KesslerUpdated

Each tool is evaluated against our methodology using public docs, vendor demos, and hands-on testing.

Agentic extraction tools use AI models (often vision-language models) to autonomously understand and interact with web pages. Instead of writing CSS selectors or XPath queries, you describe what data you want in natural language and the AI figures out how to get it. This approach is more resilient to website changes and can handle complex, multi-step extraction workflows.

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Features

✓JS Rendering
✓Structured Output
✓Open Source
✓Self-Hosted Option
Pricing:FreemiumSee pricing →

Editorial assessment

The most accessible entry point for AI extraction – 'extract founders and social links' as a prompt returning JSON is magic. 20K+ GitHub stars validate the developer appeal. LLM costs add up fast at scale, and output consistency depends on model quality. Works beautifully for prototyping and small-scale extraction, but production reliability needs careful prompt engineering.

How ScrapeGraphAI compares

Diffbot

Diffbot provides enterprise-grade extraction with its own CV/NLP models, no LLM cost per query.

See full ScrapeGraphAI alternatives comparison →

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