Puppeteer
Puppeteer and Playwright share a common origin — most of Playwright's founding team came from the Puppeteer project at Google. They look similar at first glance, but they've diverged significantly. Choosing the wrong one adds friction to your testing workflow. This is a practical comparison covering what
Puppeteer
Puppeteer handles scraping scenarios that simple HTTP clients can't: JavaScript-rendered pages, infinite scroll, login-protected content, and multi-step form interactions. This guide covers production-ready patterns — not just the basics. When to Use Puppeteer for Scraping Puppeteer makes sense when: * The page renders content via JavaScript
Puppeteer
Puppeteer has built-in access to Chrome's performance APIs, the Coverage API for unused code detection, and the DevTools Protocol for deep profiling. This makes it a capable performance testing tool — one that many teams overlook in favor of manual Lighthouse runs. This guide covers automating performance measurement
Puppeteer
Running Puppeteer in CI is harder than it should be. Headless Chrome needs specific system dependencies, and those dependencies vary across base images, CI environments, and Chrome versions. This guide covers the working configurations — not the ones that look right but fail at runtime. Why Puppeteer Fails in CI The
Puppeteer
Puppeteer's network interception capabilities turn browser automation into an API testing tool. You can intercept requests, inspect payloads, mock responses, and validate that your frontend sends the right data to your backend — all within end-to-end test scenarios where the browser and API are exercised together. Network
Testing
Puppeteer's page.pdf() generates PDFs from HTML pages — but verifying the output requires more than file existence checks. This guide covers testing PDF content via text extraction, visual regression diffs, layout assertions, and metadata checks using Node.js, Puppeteer, and the pdf-parse library. Key Takeaways Use pdf-