scrapyThe veteran Python web crawling framework: spiders, middlewares, pipelines and battle-tested scheduling — 60k+ stars and still the reference architecture for structured scraping.
Why switchSame job — a production crawling framework. Scrapy is the fifteen-year Python veteran with the deepest ecosystem; Crawlee is TypeScript-native with headless-browser switching and anti-blocking as defaults rather than plugins.
Full comparison → crawl4aiThe 74k-star LLM-native crawler: turns any site into clean, RAG-ready Markdown — adaptive crawling, JS rendering, extraction strategies, Docker deploy. Python, Apache-2.0.
Why switchThe two big crawl frameworks, split by output philosophy: Crawlee (Node/TS) is item-pipeline scraping with anti-blocking and storage; Crawl4AI (Python) optimizes everything toward clean Markdown for LLM consumption.
Full comparison → ScraplingAdaptive Python scraping framework: selectors that relearn when sites redesign, stealth fetchers that pass Cloudflare, spiders with proxy rotation and an MCP server — request to full crawl.
Why switchThe two modern anti-bot-aware crawling frameworks, split by language: Scrapling for Python (adaptive parsing, MCP server), Crawlee for Node/TypeScript (browser switching, Apify ecosystem).
Full comparison → autoscraperLearn-by-example Python scraper: give it a URL and sample values you want, it infers the extraction rules and reapplies them to similar pages. Tiny, fast, zero selectors.
Why switchSame scraping job, opposite shapes: autoscraper is 500 lines of learn-by-example rule inference in Python; Crawlee is the production TypeScript framework with queues, proxies and anti-blocking.
Full comparison →