What is Scrapy?
Scrapy is a Python framework for building web crawlers at scale. You define "spiders" (classes that follow links, parse responses, and pass data through configurable pipelines to databases or files). Scrapy handles request queuing, retries, and rate limiting natively, making it well-suited for distributed crawling across thousands of URLs.
| Factor | Scrapy | Requests + BeautifulSoup | Firecrawl API |
|---|---|---|---|
| Scale | Built for large crawls | Not scalable | Managed infrastructure |
| JS support | Via Playwright plugin (fragile, freezes on Windows) | None | Native |
| Setup | High: spiders, pipelines, middleware | Low | Single API call |
| HTTP 202 / custom retries | Requires custom middleware | Manual | Handled automatically |
| Maintenance | High | Medium | None |
Scrapy makes sense for crawling static or semi-static sites at scale where you need full control over pipelines. The pain points start when JavaScript enters the picture. Scrapy-Playwright integration requires an asyncio reactor, freezes on certain platforms, and adds significant debugging overhead. For how it compares to BeautifulSoup, see BeautifulSoup vs Scrapy.
For sites that render with JavaScript or when Scrapy-Playwright freezes after initialization, Firecrawl's Crawl API does the same job (link traversal, content extraction, structured output) without configuring spiders or async reactors.
data from the web