autoscraper vs crawlee
Learn-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. — versus — Apify's web scraping and browser automation library for Node.js/TypeScript — HTTP and headless-browser crawlers with human-like anti-blocking defaults, queues, storage and proxies.
Same 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.
| autoscraper | crawlee | |
|---|---|---|
| Stars | 7.6k | 25k |
| Forks | 778 | 1.6k |
| Language | Python | TypeScript |
| License | MIT | Apache-2.0 |
| Last activity | 1 years ago | today |
| Topics | web | web |
| Curated connections | 2 | 3 |
autoscraper — the curator's take
The cleverest 500 lines in scraping: show it one example of what you want off a page and it figures out the rules — no selectors, no XPath, and the learned model reapplies across similar pages. Perfect for quick structured grabs and prototyping. But check the commit log before adopting: it's been quiet for over a year, so treat it as a finished small tool, NOT a maintained framework — no JS rendering, no anti-bot, no crawling infrastructure. When sites fight back or scale arrives, move to a real framework.
crawlee — the curator's take
The TypeScript-native answer to production crawling: one API switches between cheap HTTP crawling and Playwright/Puppeteer when pages need a real browser, with anti-blocking fingerprints, request queues, proxy rotation and storage built in rather than bolted on. Reach for it when your stack is Node and the target fights back. NOT the pick for Python teams (its Python port is younger — Scrapy owns that ground), and mind the gravity: it's built by Apify and nudges toward their platform, though it runs fine standalone.