Cut agent scraping token spend with Scrapling — adaptive element-signature relocation plus a built-in MCP server

GitHub·medium signal

Scrapling (69k+ stars) learns element 'signatures' and automatically relocates them when a page's structure changes, avoiding brittle fixed CSS/XPath selectors, and ships an MCP server that extracts targeted content *before* handing it to the model — cutting tokens and cost versus dumping raw HTML into context. It handles anti-bot challenges (e.g. Cloudflare Turnstile) with browser-level rendering and fingerprint rotation. Actionable: front your agent's web-data steps with Scrapling's MCP extraction so the model receives pre-narrowed data, and rely on adaptive selectors for frequently-changing sites.