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Scrapling
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale
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Effortless Web Scraping for the Modern Web
العربيه | Español | Français | Deutsch | 简体中文 | 日本語 | Русский | 한국어
Selection methods · Fetchers · Spiders · Proxy Rotation · CLI · MCP
Scrapling is an adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl.
Its parser learns from website changes and automatically relocates your elements when pages update. Its fetchers bypass anti-bot systems like Cloudflare Turnstile out of the box. And its spider framework lets you scale up to concurrent, multi-session crawls with pause/resume and automatic proxy rotation - all in a few lines of Python. One library, zero compromises.
Blazing fast crawls with real-time stats and streaming. Built by Web Scrapers for Web Scrapers and regular users, there's something for everyone.
Or scale up to full crawls
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Don't lose this
Three weeks from now, you'll want Scrapling again. Will you remember where to find it?
Save it to your library and the next time you need Scrapling, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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