crawlee vs Scrapling
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. — versus — Adaptive 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.
The 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).
| crawlee | Scrapling | |
|---|---|---|
| Stars | 25k | 70k |
| Forks | 1.6k | 6.9k |
| Language | TypeScript | Python |
| License | Apache-2.0 | BSD-3-Clause |
| Last activity | today | yesterday |
| Topics | web | web |
| Curated connections | 3 | 4 |
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.
Scrapling — the curator's take
The modern-web answer to scraping's two chronic pains: selectors break (its parser relearns elements after redesigns via auto-save/auto-match) and bots get blocked (StealthyFetcher passes Cloudflare Turnstile out of the box). The MCP server is a quiet killer feature — your coding agent can scrape through it directly. NOT the veteran choice: younger ecosystem than Scrapy with fewer third-party answers when you're deep in the weeds, and the adaptive magic needs its cache warmed — first-run breakage still lands on you.