scrapling - Adaptive Web Scraping Framework

Keyword: scrapling · adaptive scraping · stealthy fetch · scrapling spider

Respect each target site's terms, robots, rate limits, and authorization boundaries.

Scrapling is a Python scraping framework for parser-first HTML extraction, browser-backed fetching, stealth anti-bot handling, CLI prototyping, and optional larger crawl workflows. Its distinctive feature is adaptive scraping: you can save element fingerprints and later relocate equivalent elements after a site redesign.

When to use this skill

• Install Scrapling with the right extras for parser-only, fetchers, shell, AI, or full usage
• Parse known HTML with Selector before escalating to browser-backed fetchers
• Choose between Fetcher, DynamicFetcher, and StealthyFetcher
• Reuse FetcherSession, DynamicSession, or StealthySession for multiple requests
• Parse HTML with CSS, XPath, ::text, ::attr(...), text matching, regex, and similar-element lookup
• Enable adaptive scraping with adaptive=True, auto_save=True, retrieve(), and relocate()
• Use the scrapling CLI for terminal-first extraction or shell work
• Understand MCP and spiders as second-tier workflows once core scraping is working
• Decide when Docker-only CLI usage is enough versus when Python code is required