Comparing
Distributed task queue for async and scheduled background jobs in Python.
Fast, batteries-included web scraping and crawling framework for Python.
| Metric | celery | Scrapy |
|---|---|---|
| Ecosystem | Python | Python |
| Difficulty | Intermediate | Intermediate |
| Weekly downloads | 3.2M↑ | 1.4M |
| Latest version | v5.4.0 | v2.11.2 |
| Recipes | 3↑ | 2 |
celery only
Shared
Scrapy only
Sending emails or notifications, processing uploads, running scheduled cron-style jobs, chaining multi-step workflows, fan-out parallel processing.
Large-scale crawling, production spiders that run regularly, structured data extraction with pipelines (to DB, CSV, JSON), sites with pagination or login.
Simple scripts that don't serve web traffic — just use asyncio or threading. If you need sub-millisecond latency, Celery's overhead is too high. For tiny projects, consider RQ (simpler) or FastAPI BackgroundTasks.
Single-page quick scrapes (use requests+BS4). JavaScript-heavy sites (use Playwright; or scrapy-playwright to integrate). When a proper API exists.
celery
Scrapy