Crawlee

Apify maintains this scraping toolkit in two editions, one for Node.js and TypeScript and a Python port, both aimed at crawlers that hold up on real-world sites. Its crawler classes share a common interface, ranging from fast HTTP fetching with Cheerio, JSDOM or BeautifulSoup parsing to full browser rendering through Playwright or Puppeteer, and an adaptive crawler picks the approach page by page. Around that core it manages a persistent request queue, retries and routing, concurrency that tracks available CPU and memory, session-aware proxy rotation, and generated browser fingerprints and TLS signatures that make traffic look less automated. Output goes to local datasets and key-value stores by default. The stable 3.x JavaScript line runs on Node.js 16 or later, while the 4.0 release candidate needs 22.13, and the Python edition requires 3.10 or newer; a create command scaffolds a starter project. Everything is Apache 2.0 and runs on any machine, with the Apify cloud as an optional host. For AI work it is a dependable way to gather pages for RAG corpora, fine-tuning sets or agent tools when plain fetch scripts get blocked.