--- title: "A Few Months After a Team That Used Scrapy Moved to Crawlee — Was It the Right Call?" date: 2026-10-10 model: qwen3.6-plus author_type: human category: reviews summary: Crawlee is a library that puts HTTP crawling and real browser crawling under one API. In an independent test the promise of "swap one class and JS page data gets caught" held up. Alongside that, the Chromium install friction, the structural cost of migrating a Scrapy project, and the maturity gap of the Python version are all recorded. tags: Crawlee,Scrapy,web crawling,Playwright,browser automation,scraping,Node.js,Python,user reviews,real user reviews --- # A Few Months After a Team That Used Scrapy Moved to Crawlee — Was It the Right Call? An independent test in July 2026 started with a simple question: "Is Crawlee worth putting in my stack, or should I just use Playwright?" The heart of the test was the manufacturer's claim that both engines wear the same clothes. An HTTP engine for static HTML and a browser engine that runs JavaScript with real Chromium supposedly use the same handler shape. The author kept the extraction logic byte-for-byte and only swapped the crawler class. The result: on pages where JavaScript injects product cards, the HTTP engine caught **0** and the browser engine caught **8 of 8**. This post puts that test together with the comparison material and the costs the teams that moved actually paid. --- ### 1. Scope of sources I read an independent test review (2026-07, Crawlee 3.17.0), a Scrapy·Crawlee comparison guide (2026), a Python port evaluation, and the official docs. Speed figures are the tester's single-device, single-run numbers. --- ### 2. The promise that held — two engines, one API Crawlee's core claim checked out. **Swapping engines is swapping a class.** On the same URL, the Cheerio-based HTTP crawler took about 0.035 seconds and the Playwright crawler about 4.97 seconds. The browser path is tens of times slower, but that's the price of rendering. The point is that you don't have to rewrite the extraction logic. **Crawl orchestration comes attached.** For single-page rendering, Playwright alone is enough. What Crawlee gives you is the queue, dedup, depth control, and retries on top of that. In the test, a same-host crawl walked 11 pages across depth 0 to 2, and a 500-error request was surfaced through `failedRequestHandler` rather than swallowed silently. **Default defenses.** Session pools, proxy rotation, and fingerprint generation are in the defaults, which cuts down on "the wiring work to get past bot protection" — that's the common assessment in the comparison material. It's the difference from Scrapy doing nothing by default. --- ### 3. The costs paid — install, language, migration **First-run friction.** `npm install crawlee` alone doesn't download the browser. You have to run `npx playwright install chromium`, which adds about 80MB of Chromium. Skip that step and you get launch errors that are hard to diagnose. It comes from Playwright's structure rather than being a Crawlee defect, but the first experience is rough. **Language choice.** Crawlee is most mature in Node and TypeScript. The Python port exists but lags the Node version in features and community, per the 2026 comparison. If your team is already Python, the Scrapy side is deeper. **Structural migration cost.** Moving an existing Scrapy project is closer to a rewrite than an adjustment. For teams that think in the Twisted reactor, spider, middleware, and pipeline model, Crawlee's handler router and context object are a different model. One evaluation nails it: "if your working Scrapy project has no browser requirement, don't move." **Scope it doesn't suit.** For scraping one page and one field, the queue, storage, and lifecycle are overhead. In that case one line of httpx or requests is shorter with fewer moving parts. --- ### 4. The profile of teams that fit Combining the strengths and costs gives a picture of the teams Crawlee fits: - Teams working in a Node or TypeScript codebase that want to keep one language - Teams that need to mix static HTTP and JS rendering inside the same project - Teams that want to start with session, proxy, and queue from day one - Teams willing to run a browser farm themselves Conversely, if it's Python-only, you're keeping an existing Scrapy setup, and it's a one-off crawl, the migration cost is likely larger than the promised benefit. --- ### 5. Conclusion — not the framework but the shape of the crawl The evaluation of Crawlee doesn't split into "better than Scrapy" but into this: **are you making a crawl that moves between HTTP and browser inside one framework, or are you choosing the depth of a language ecosystem?** The independent test's conclusion said "yes" with a slight asterisk. The two-engine promise held, and the queue and depth crawling worked as documented. What remains is the first-run install friction and your team's language choice. If you start out knowing those two, the months-after impression usually lands on the "good call" side. Related posts: [Crawl4AI user reviews](/reviews/2026-10-10-crawl4ai-real-user-reviews/) · [Exa user reviews](/reviews/2026-10-10-exa-neural-search-user-reviews/) · [Crawlee agent hub entry](/agents/crawlee/) --- ### Sources - Independent test: [Crawlee, Tested: One Node Framework, Two Scraping Engines (Thunderbit, 2026-07)](https://thunderbit.com/blog/crawlee-review) - Comparison: [Scrapy vs Crawlee (webscrape.dev, 2026-07)](https://webscrape.dev/comparisons/scrapy-vs-crawlee) · [Scrapy vs Crawlee (Crawlee official blog, 2024-04, marked as a vendor post)](https://crawlee.dev/blog/scrapy-vs-crawlee) - Python port: [Crawlee for Python review (Hysen Labs)](https://hysenlabs.com/projects/apify-crawlee-python) · [crawlee-python GitHub](https://github.com/apify/crawlee-python)