Skrape helps you pull content from websites and turn it into structured, usable data. Whether you’re training AI models, building a knowledge base, monitoring industry news or gathering documentation, it handles the heavy lifting. You point it to a website, it crawls dynamic content (even pages built with JavaScript), respects the site’s rules (like robots.txt), and outputs data in formats like Markdown or JSON. On top of that, you can define a schema so you get precisely the fields you need, not just raw text. If you’re doing AI‑driven work and hate spending hours cleaning and formatting web content, this tool saves you that time.
The platform supports two main output formats: structured JSON based on your custom schema, or well-formatted Markdown that preserves headings, tables and code blocks.
Yes. It offers full JavaScript rendering, scrolling, clicking and waiting for elements to load so you can scrape modern dynamic websites.
You’ll need to define a JSON schema and call the API (or use SDKs) but you don’t have to build scraping logic from scratch. It’s designed for developers/data teams rather than non-technical users.
Yes, you can start with free credits (no credit card required) to test the service before committing to a paid plan.
Plans start at around US $15/month (Starter) for a few thousand pages/credits, then scale up (Growth, Pro) as volume goes up. For latest details visit the official pricing page.
The tool supports crawling across pages, respects robots.txt, and has features to handle dynamic loading and navigation actions (scroll/click). However, if a site has strong anti-scraping protections you may need additional configuration.
Yes. One of the features highlighted is “real-time data” — the system doesn’t rely on stale cache by default.
Ideal users include developers, ML/AI engineers, data scientists and teams building knowledge bases, doing RAG (retrieval-augmented generation) setups, or working with large-scale content extraction.
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