Apify vs Playwright
Detailed side-by-side comparison to help you choose the right tool
Apify
Web Automation
Web scraping platform with 21,000+ pre-built Actors for extracting data from websites without coding scrapers from scratch.
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CustomPlaywright
🔴DeveloperWeb Automation
Playwright review 2026: Microsoft's open-source browser automation framework for end-to-end testing across Chromium, Firefox, WebKit, Chrome, and Edge with auto-wait and parallel execution.
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Free (open source)Feature Comparison
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Apify - Pros & Cons
Pros
- ✓Skip building scrapers with 21,000+ ready-made Actors for major sites
- ✓Handles JavaScript, CAPTCHAs, and anti-bot detection out of the box
- ✓Pay-per-use pricing avoids paying for idle capacity
- ✓Active community contributes and maintains popular Actors
- ✓Residential proxy networks included, no separate proxy subscription needed
Cons
- ✗Costs scale with volume and site complexity, no unlimited plan
- ✗Actors break when target sites change, especially niche ones
- ✗Custom Actor development requires JavaScript/Node.js skills
- ✗More expensive than self-hosted Scrapy for high-volume simple sites
Playwright - Pros & Cons
Pros
- ✓One API drives 3 browser engines named on the website: Chromium, Firefox, and WebKit
- ✓Supports 4 language ecosystems directly from the website: TypeScript, Python, .NET, and Java
- ✓Playwright Test combines auto-waiting, web-first assertions, tracing, and parallelism instead of requiring separate tools for each testing function
- ✓Trace Viewer captures DOM snapshots, network requests, console logs, screenshots, and a full execution timeline at every step for debugging CI failures
- ✓Each test receives a fresh browser context, equivalent to a brand new browser profile, with near-zero overhead according to the website
- ✓AI-agent workflows are supported through Playwright MCP, Playwright CLI, accessibility snapshots, and named MCP clients including VS Code, Cursor, Claude Desktop, and Windsurf
Cons
- ✗The website does not show managed hosting, cloud browser minutes, enterprise support plans, or a commercial SLA as part of core Playwright
- ✗Teams must provide their own execution infrastructure when using parallelism and sharding across multiple CI machines
- ✗Robust use requires programming knowledge in one of the supported languages rather than relying only on recorded tests
- ✗Cross-browser testing across Chromium, Firefox, and WebKit can expand runtime and maintenance compared with single-browser test suites
- ✗AI-agent workflows require separate CLI or MCP setup and a compatible client instead of being automatic in every Playwright Test project
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