I’ve recently started using Playwright in a Python 3.9 environment and I’m trying to run browser automation scripts asynchronously using the async_playwright method. Despite following the library’s documentation, my scripts either hang indefinitely or fail with no clear error message. I expected smooth, non-blocking execution, but I’m hitting these roadblocks. I am running this on Windows 10 and using Visual Studio Code as my IDE. Has anyone else experienced similar issues or found a solid workaround? What am I missing to make async_playwright run properly here?
Ran into the same frustration myself when starting out with async_playwright. It turned out that the main issue was linked to not awaiting asynchronous functions correctly.
The root of the confusion often lies in misunderstanding Python’s async mechanisms. With async_playwright, every function call that is marked as async requires an await. Additionally, make sure that your script is wrapped inside an async function, which is then executed within Python’s event loop, typically using asyncio.run().
Here is the snippet that worked for me: python import asyncio from playwright.async_api import async_playwright
async def run(): async with async_playwright() as p: browser = await p.chromium.launch() page = await browser.new_page() await page.goto(“https://example.com”) print(await page.title()) await browser.close()
asyncio.run(run())
The script defines an async function run() that encompasses the browser automation logic, utilizing async/await syntax correctly. Remember, the asyncio.run() call is crucial as it sets up the event loop required for asynchrony.
If issues persist, verify all await statements and ensure you don’t accidentally nest event loops. Especially common when using Jupyter notebooks, remember to use nest_asyncio to accommodate multiple loops if necessary.
I had some headaches with async_playwright when async calls seemed fine but still ended up with hanging scripts. Digging deeper, I realized the problem was due to resource handling, especially with how browsers and pages are opened and closed.
One usual culprit is not properly using the context manager, which ensures that resources are cleaned up no matter how the function exits, even in case of an error. Make sure you’re within the async with block when calling async Playwright functions to handle resources correctly.
Here’s an updated example, focusing on proper resource management: python import asyncio from playwright.async_api import async_playwright
async def run(): async with async_playwright() as p: browser = await p.chromium.launch() async with browser.new_context() as context: page = await context.new_page() await page.goto(“https://example.com”) print(await page.title())
asyncio.run(run())
This setup uses async context managers for both the playwright instance and the browser context, which automatically take care of cleanup.
Errors usually arise from open handles left behind, so always double-check resource management. Flaky test runs might be avoided by paying attention to these details.