ScrapeGraphAI
Verified Oct 2, 2026 ActiveWeb scraping API and open-source Python library that pulls structured data from pages using plain-language prompts.
Listed on EffectHub ·
Pricing
- Pricing model
- Freemium
- Paid options from
- $20/mo
- Billing
- Monthly
Free plan gives 500 one-time credits at 10 requests per minute. Paid plans are Starter $20/month (10,000 credits), Growth $100 (100,000) and Pro $500 (750,000); extra credit packs are sold from $5 per 1,000. The open-source library is free but you pay your own LLM bills.
Use tool ↗About ScrapeGraphAI
ScrapeGraphAI turns a URL and a natural-language request into structured JSON, markdown, HTML or screenshots, so you do not write selectors for each site. The hosted API covers scrape, extract, search, multi-page crawl and scheduled monitors that fire webhooks when a page changes, with Python and JavaScript SDKs plus LangChain and LlamaIndex integrations. The same idea started as an MIT-licensed Python library that builds LLM-driven scraping graphs and runs with OpenAI, Gemini, Groq or local models through Ollama. It suits developers feeding web data to agents, RAG pipelines or price and news trackers.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 2, 2026
Verified sources
- Pricing page lists Free (500 one-time credits), Starter $20, Growth $100, Pro $500 and credit packsscrapegraphai.com ↗
- Documentation lists the scrape, extract, search, crawl and monitor services and Python/JavaScript SDKsdocs.scrapegraphai.com ↗
- GitHub repository is MIT-licensed, created January 2024, with the library features and supported LLMsgithub.com ↗
- Terms of service name ScrapeGraphAI, Inc. as the providerscrapegraphai.com ↗
Is ScrapeGraphAI legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Last checked
- Oct 2, 2026The site answered
- On the market since
- 2024The vendor's own material, read by us
- Operated by
- ScrapeGraphAI, Inc.Our research, card verified Oct 2, 2026
Pros & cons of ScrapeGraphAI
A sensible choice when you need clean structured data from many differently built sites and would rather describe the fields than maintain parsers. The open-source library is a good way to try the idea locally before paying for the hosted API. If you scrape one stable site at high volume, a conventional parser or proxy-based scraper will be cheaper per page.
Pros
- MIT-licensed library with a large GitHub following
- Single API covers scrape, extract, search, crawl and monitor
- Python and JavaScript SDKs plus LangChain and LlamaIndex integrations
- Free tier and published top-up pricing make cost easy to predict
Cons
- Credit-based billing means heavy crawls burn through plans quickly
- LLM extraction is slower and less deterministic than fixed selectors
- Free credits are one-time, not monthly
Best for
- Developers feeding web data into agents or RAG pipelines
- Teams tracking changes on many pages with scheduled monitors
- Prototypers who want to self-host the open-source library first
Not for
- High-volume scraping of one fixed layout where selectors are cheaper
- Buyers who need a managed residential proxy network as the main product
Watch out: The free plan's 500 credits are one-time and do not refill, and the pricing page shows no discount for annual billing, so budget on the monthly credit counts.
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