ScrapeGraphAI

✓ Editorially verified

LLM-driven web scraping API that turns natural-language prompts into structured JSON.

Freemium· Free 500 credits; Starter $20/mo, Growth $100/mo, Pro $500/mo, Enterprise customAgentsMulti-model (LLM, unspecified)

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Best for

Pick ScrapeGraphAI if you're building agents or data pipelines that need fresh, structured data from messy or JS-heavy sites without maintaining selectors.

Skip if

Skip it if you're doing high-volume scraping of well-structured pages where a traditional Playwright or Scrapy script will be cheaper and more predictable.

ScrapeGraphAI is a hosted web-scraping platform that swaps brittle CSS selectors and XPath rules for natural-language prompts. You point it at a URL, describe the fields you want, and it returns structured JSON, handling JavaScript rendering, SPAs, and rotating proxies on its end. The product exposes five core endpoints — Scrape, Extract, Search, Crawl, and Monitor — plus webhook-based change detection, which makes it less of a single-page parser and more of a small toolkit for data pipelines and agents.

The project has a strong open-source core (27k+ stars on GitHub) and a managed cloud service on top, which is the realistic dividing line: self-host the Python library if you want full control, or pay for the API if you want zero infra. Pricing is credit-based — 500 free credits to test, $20/mo Starter, $100/mo Growth, $500/mo Pro, then Enterprise — with optional top-ups. Official Python and JavaScript SDKs, a CLI, and an MCP server make it a natural fit for LangChain-style agents and Claude/Cursor workflows that need fresh web data.

Worth noting: the marketing page doesn't disclose which underlying LLMs power extraction, and credit consumption per call isn't fully transparent until you're in the dashboard. For high-volume scraping of well-structured sites, traditional scrapers will still be cheaper; ScrapeGraphAI earns its keep on messy, JS-heavy pages and on agent pipelines where prompts beat maintaining selectors.

Editor's take

A genuinely useful piece of the agent stack: prompt-based extraction with an MCP server and a real open-source repo behind it, not just an API wrapper. The free tier is small but enough to validate. We'd like clearer disclosure of which LLM is doing the lifting and how credits map to page complexity.

— The AI Tool Bible editorial team