Getting data off the web today means paying for scraping tools or maintaining scripts with selectors that break on every redesign. ScrapeGraphAI is an open source Python library: give it a link, describe what you want in plain language, and it returns clean, structured data — leads, competitor prices, market research.
Who this is NOT for
It is not a magic button: it is a Python library (a few lines of code) and you manage browsers, proxies and scaling yourself. Aggressively protected sites may resist. If you do not touch code, start with n8n and its scraping nodes instead.
The trick is that the AI model replaces the selectors: you describe the data, not the HTML path, so the scraper does not break when the page changes. And since it runs on local models via Ollama, you can extract data without paying a cent in API fees.
Your first step
Run pip install scrapegraphai, point SmartScraperGraph at a real page in your niche and ask in one sentence for the list you need (names and emails, or products with prices). You will see clean JSON on your first try.
The ScrapeGraphAI implementation guide
The project belongs to ScrapeGraphAI and it is free: the link beside asks for nothing. The guide to set it up without getting lost is ours: step by step, common mistakes and a checklist. Leave your email and we will send it.
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