Scrapling

Why we included this project

Scrapling is a Python web scraping framework that scales from a single HTTP request to large concurrent crawls, so it works as one tool for both quick data pulls and long-running collection jobs. The adaptive parser remembers where your selectors point and relocates them when a site redesigns, which keeps scrapers from breaking silently and eating your maintenance time. The built-in spider framework adds pause/resume, per-domain throttling, streaming output, and automatic proxy rotation, and the stealth fetchers handle anti-bot walls like Cloudflare Turnstile out of the box. Teams building data pipelines, market research, or AI training datasets will find the MCP server integration handy for wiring scraping directly into agent workflows. If you want scraping logic, anti-detection, and crawl orchestration in a single library rather than stitching several tools together, this is a practical choice.