ScrapeGraphAI
Features of ScrapeGraphAI
Use Cases of ScrapeGraphAI
FAQ about ScrapeGraphAI
QWhat is ScrapeGraphAI?
ScrapeGraphAI is an API and SDK suite that uses large language models to extract structured data from web pages through natural-language instructions, replacing fragile rule-based scrapers.
QWhat can it do?
It offers semantic scraping, single/multi-page crawl graphs, JSON output, support for major LLMs, and drop-in SDKs for Python and TypeScript—so you get clean data with almost zero config.
QDo I need to code?
Yes—basic Python or JavaScript is required. You can also run it inside n8n, Zapier or Make for low-code workflows.
QWhich LLMs are supported?
OpenAI GPT, Google Gemini, Groq, Azure OpenAI and local models via Ollama.
QHow does it handle login walls or anti-bot protection?
The AI adapts to markup changes, but heavy shields (CAPTCHAs, strict rate limits) still need custom proxies, sessions or CAPTCHA solving. Always respect site terms and local laws.
QIs it free?
You need an API key after sign-up. Check the official pricing page for free tiers, pay-as-you-go or subscription plans.
QCan I use the scraped data commercially?
That depends on the target site’s ToS and your local regulations. You’re responsible for ensuring lawful, compliant use.
QHow is it better than BeautifulSoup or Scrapy?
Instead of writing and maintaining selectors, you describe the data you want in plain English. The LLM figures out the page, survives redesigns and returns structured JSON—cutting dev time from hours to minutes.
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