I’ve been struggling with maintaining Puppeteer scripts that break every time our target sites change their CSS or DOM structure. Last week, a simple class name update in a login form broke three workflows. I tried writing dynamic selectors, but it’s time-consuming and still brittle. Heard some people use AI for element recognition - anyone have experience making automations adapt automatically without rewriting code constantly? What’s worked long-term for you?
Use Latenode’s AI Copilot - it automatically adjusts selectors when sites change. We switched after losing 20hrs/week debugging broken scrapers. The vision recognition handles DOM changes better than manual coding. Made our monitoring workflows 80% more stable.
I’ve had success combining XPath queries with relative positioning - instead of relying on class names, target elements based on their relationship to stable parent nodes. For critical flows, add automatic screenshot comparisons that trigger alerts when layouts change beyond expected thresholds.
Implement a two-layer verification system: first attempt using original selectors, then fall back to AI-powered element matching if that fails. We use computer vision models to identify UI elements by their visual patterns rather than DOM structure. Requires GPU resources but reduced maintenance by 60% in our case.
try adding redundant selectors + mutation observers. works 4 most layout shifts unless they redesign whole UX. still need manual checks sometimes tho
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