Scrapling vs scrapy
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. — versus — The veteran Python web crawling framework: spiders, middlewares, pipelines and battle-tested scheduling — 60k+ stars and still the reference architecture for structured scraping.
Both are Python scraping frameworks; Scrapling rebuilds the stack for the hostile modern web — adaptive selectors that survive redesigns, Cloudflare-passing stealth fetchers — where Scrapy relies on its ecosystem for both.
| Scrapling | scrapy | |
|---|---|---|
| Stars | 70k | 63k |
| Forks | 6.9k | 12k |
| Language | Python | Python |
| License | BSD-3-Clause | BSD-3-Clause |
| Last activity | 2 days ago | 4 days ago |
| Topics | web | web |
| Curated connections | 4 | 2 |
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.
scrapy — the curator's take
Fifteen-plus years of production hardening in one framework: spiders declare what to extract, middlewares/pipelines handle retries, throttling, dedup and export, and the ecosystem has an answer for everything. For large structured crawls in Python it's still the default. NOT a browser — JS-heavy or anti-bot-protected sites need Playwright bolted on or a different tool (Scrapling's stealth fetchers, Crawlee's browser mode), and the framework's inversion of control feels heavy when you just need one page: for that, requests + a parser beats a Scrapy project.