pkgdocs/compare/fastapi vs Scrapy

Comparing

Python

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

0/ wk
v0.135.2
vs
Python

Scrapy

Fast, batteries-included web scraping and crawling framework for Python.

1.4M/ wk
v2.11.2
MetricfastapiScrapy
EcosystemPythonPython
DifficultyBeginner ✓Intermediate
Weekly downloads01.4M↑
Latest versionv0.135.2v2.11.2
Recipes12↑

Tags

fastapi only

apiopenapipydanticweb-frameworkapplication-frameworkshttp-serverslibrariespython-moduleswww/http

Shared

async

Scrapy only

scrapingcrawlingspiderpipelines

When to use each

fastapi

Use FastAPI when building REST or GraphQL APIs in Python, especially when you need async support, automatic OpenAPI/Swagger docs, request validation, or are building microservices. It's the best choice for new Python API projects.

Scrapy

Large-scale crawling, production spiders that run regularly, structured data extraction with pipelines (to DB, CSV, JSON), sites with pagination or login.

When to skip each

fastapi

FastAPI is API-only — it has no templating, admin interface, or ORM. For full-stack web apps with server-rendered HTML, Django is better. For tiny internal tools, Flask's smaller learning curve might be preferable.

Scrapy

Single-page quick scrapes (use requests+BS4). JavaScript-heavy sites (use Playwright; or scrapy-playwright to integrate). When a proper API exists.

Sample recipes

fastapi

  • Install fastapi

Scrapy

  • Build a basic spider
  • Save items to a database via Pipeline