I've set up browser automation for our web app using Puppeteer, which is great for handling things like logins, form submissions, and checkouts. It's performed flawlessly in our staging environment, with all tests passing 100% locally and in continuous integration. But after moving everything to production, many scripts started failing. The primary issues are changing IDs with each deployment, dynamic popups from A/B tests interfering with waits, and network delays causing timeouts. One particular test fails about 40% of the time due to timing issues after an animation. My code looks like this:
```javascript
await page.waitForSelector('#submit-btn');
await page.click('#submit-btn');
```
But in the production environment, the ID changes to something like `submit-btn-v2`. I tried adding retries and sleep commands, but that only made everything slower and the flakiness persisted. Now the team spends more time fixing automation issues than developing new features. I even switched to Playwright thinking it would be better, but I'm facing the same problems with brittle selectors against UI changes. This is exactly the kind of scenario AI-driven web automation should help with. Has anyone else dealt with these issues, and what are your tips for making browser automations reliable in production without constant maintenance?
5 Answers
These days, the trend is to use user-visible labels or text as selectors instead of relying solely on class or ID selectors. It’s usually more robust, but it can introduce new challenges if text changes frequently. While I haven't worked much with Puppeteer, I believe there are ways to address this, especially with XPath in Playwright as it has built-in methods to support this approach.
Retries and sleeps can help, but they can definitely slow things down, just like you mentioned. The A/B tests can be really problematic when popups get introduced. It’s such a hassle trying to manage those unexpected changes during testing.
You might get suggestions about some AI products here—it's a common issue. But honestly, it sounds like it's more about writing effective tests. The documentation is pretty straightforward. If you can't follow it, AI tools won't necessarily improve your situation. Sure, you might face extra challenges with third-party scripts, but that's what your users deal with too. You can either disable those scripts during tests or update your tests to handle them. If A/B tests are breaking your tests, consider updating your configurations to run tests either on control or feature variants instead of a random selection.
I totally relate! When we pushed to production, half of our checkout tests failed because a new loading spinner was introduced that wasn’t present in staging. It feels like we need to be more mindful of these differences in environments.
You've hit the classic "tested in a vacuum" issue. Staging isn't the same as production, and things break. Try using data attributes instead of IDs, like `data-testid="submit"`, and get the dev team to commit to keeping these stable. Also, consider if you really need to automate the entire user flow; direct API testing is usually quicker and more stable. Clicking buttons in a browser is often slower and more fragile. AI won't fix your selector problems—it might just mask them until it fails in production during off-hours.
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