I’ve been working with Puppeteer for a few months now, and I keep running into this frustrating problem. I’ll write a script that scrapes data or automates some workflow, and then a website updates their HTML structure and everything breaks. I end up spending hours debugging and rewriting selectors.
I know this is kind of the nature of web scraping, but it feels like there has to be a better way to handle this. Right now I’m just manually maintaining all my automation scripts whenever something changes, which doesn’t scale at all.
Does anyone have a solid approach to making Puppeteer automations more resilient to these kinds of changes? Or is there a tool that helps reduce the maintenance burden when you’re running multiple automations?
This is exactly the kind of problem where I’d reach for Latenode’s AI Copilot. Instead of baking selectors into your code, you describe what you want to do in plain language, and the AI generates and maintains the automation logic for you.
What’s nice is that when websites change, you can often just regenerate the workflow without rewriting everything from scratch. The AI understands intent, not just CSS selectors. So if you say “extract the product name and price,” it’ll adapt when the structure changes rather than breaking completely.
I’ve seen this reduce maintenance overhead significantly. You’re not stuck debugging brittle selectors anymore.