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ScrapeGraphAI
LLM-powered scraping with natural language
Consider with caveatsMCPAPIZapier
Overall score
3.7/ 5
SME Fit3/5
usage-metered pricing + freemium
JTBD4/5
solid named JTBD
Integration5/5
MCP + API + Zapier + 7 integrations
Trust1/5
new (<12mo), founded 2024
Quality5/5
4.7 on GitHub (18,000 reviews)
Compliance3/5
GDPR
About
ScrapeGraphAI is an Italian-built scraping platform and Python library that uses LLMs to extract structured data from websites without selectors. You describe what you want in natural language and it adapts as page layouts change, with first-class LangChain, LangGraph, and CrewAI integrations.
Best for: Developers building AI agents and RAG pipelines who want LLM-driven extraction that survives layout changes — without writing brittle selectors.
Pricing
| Tier | Monthly | Annual /mo | Billing | Notes |
|---|---|---|---|---|
| Free | — | Free | flat | 100 free credits per month;all endpoints;community support · No credit card required |
| Starter | $19 | $16 | usage_based | 5,000 credits/month;~500 SmartScraper pages;email support · Annual billing saves 15% |
| Growth | $99 | $84 | usage_based | 40,000 credits/month;higher concurrency;priority support · Annual billing saves 15% |
| Pro | $399 | $339 | usage_based | 200,000 credits/month;dedicated support;custom rate limits · Annual billing saves 15% |
Key features
- Natural-language schema extraction (SmartScraper)
- Search-and-extract pipelines (SearchScraper)
- Markdownify for LLM-ready output
- Agentic scraper with multi-step reasoning
- Open-source Python library
- Native LangChain and CrewAI integrations
Integrations
LangChainLangGraphCrewAIOpenAIAnthropicn8nZapier
Trust & compliance
- Stage range
- MVP → Growth
- Founded
- 2024
- Status
- active
- SOC 2
- unknown
- GDPR
- yes
- Data residency
- eu
- External rating
- 4.7 on GitHub (18000 reviews)
- Last verified
- May 2026
Reviews
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