Comparing
High-level concurrency and networking framework on top of asyncio or Trio
Fast, batteries-included web scraping and crawling framework for Python.
| Metric | anyio | Scrapy |
|---|---|---|
| Ecosystem | Python | Python |
| Difficulty | Beginner ✓ | Intermediate |
| Weekly downloads | 0 | 1.4M↑ |
| Latest version | v4.13.0 | v2.11.2 |
| Recipes | 1 | 2↑ |
anyio only
Shared
Scrapy only
Use anyio when writing an async library or framework that you want to be runtime-agnostic. It's also useful in applications that want trio's structured concurrency model but need to interop with asyncio-based libraries like FastAPI or aiohttp.
Large-scale crawling, production spiders that run regularly, structured data extraction with pipelines (to DB, CSV, JSON), sites with pagination or login.
For application code that commits to asyncio (e.g. a FastAPI app), using asyncio directly is simpler — there's no need for the compatibility layer. anyio shines at the library level, not the application level.
Single-page quick scrapes (use requests+BS4). JavaScript-heavy sites (use Playwright; or scrapy-playwright to integrate). When a proper API exists.
anyio
Scrapy