How to Run Multiple Browsers in Parallel Using Playwright and Python

When scraping multiple pages or running cross-scenario tests, launching one browser at a time is inefficient. Playwright supports parallel execution natively through Python threads using ThreadPoolExecutor, a reusable BrowserPool class, or the async API with asyncio. The async approach is more memory-efficient as it operates within a single event loop rather than spawning one thread per task. Developers should note that each browser process consumes 200–400 MB of RAM, and websites may rate-limit parallel requests from the same IP. For large-scale workloads, a queue-based system is recommended over unrestricted parallel browser instances.