Compare
Playwright vs Scrapy
Both free and self-hosted, but built for different jobs — Playwright renders a real browser, Scrapy schedules and parses at scale. Many teams use both together.
Side by side
| Playwright | Scrapy | |
|---|---|---|
| Vendor | Microsoft | Zyte (open-source project) |
| Pricing model | Open source + paid options | Open source + paid options |
| Free tier | Yes | Yes |
| Deployment | Self-hosted | Self-hosted |
| Open source | Yes (Apache-2.0) | Yes (BSD-3-Clause) |
| Best for | Engineers who need real-browser rendering for JS-heavy or interaction-gated pages and are building their own crawler. | Engineering teams who want full control of crawl logic and are willing to run and maintain their own infrastructure. |
| Pricing | Free and open source; no vendor pricing. Costs are the compute you run it on and any proxies you add. Pricing has not been verified yet — see the vendor's site. | Free and open source; no vendor pricing. Costs are whatever compute, proxies or hosting a team adds around it. Pricing has not been verified yet — see the vendor's site. |
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Verdict
This comparison is common but slightly mismatched: Playwright is a browser-automation library built primarily for end-to-end testing, and Scrapy is a crawling framework built specifically for scraping. Neither includes proxies or anti-bot handling out of the box, and neither costs anything to license — both run entirely on infrastructure you provide.
Playwright's advantage is rendering fidelity: it drives real Chromium, Firefox and WebKit, so pages that require JavaScript execution, logins or complex interaction render exactly as they would for a human visitor. It has no concept of a crawl — no request queue, no built-in throttling policy, no item pipeline for storage. Scrapy's advantage is the opposite: asynchronous request scheduling, retries, throttling and pipelines for cleaning and storing scraped data at scale, but no browser of its own for JavaScript-heavy pages unless you add a headless-browser middleware.
In practice, teams doing production-scale scraping of dynamic sites often use both: Scrapy for the crawl logic, queueing and storage, with Playwright (or a similar engine) plugged in as the fetch layer for pages that need real rendering.
Choose Playwright if
- The target requires JavaScript execution, login flows or interaction (clicks, scrolls, form fills) before content appears.
- You're building a small number of targeted scripts rather than a large, scheduled crawl.
- You want a library usable from JavaScript/TypeScript, Python, Java or .NET, and value its screenshot/video capture for debugging.
Choose Scrapy if
- You're crawling many pages or sites and need scheduling, concurrency control and retries handled for you.
- Most of your targets are standard HTML that doesn't require a browser to render.
- You want built-in export pipelines (JSON, CSV, XML) and a plugin ecosystem for proxies and storage.
What they share
Both are open source with no vendor lock-in, both leave anti-bot handling and proxy management to you or a paired service, and both run anywhere you control — a laptop, CI, or a container. Whichever you pick (or both), you're still responsible for the parts a hosted platform would otherwise handle: IP rotation, fingerprint avoidance, and keeping selectors current as target sites change. See choosing a web scraping tool for where a hosted platform might replace this combination entirely.
Last reviewed September 22, 2026