I’ve been struggling with sessions resetting between automation steps in a complex scraping project. Lost authentication three times yesterday mid-workflow after navigating through 5 different pages. Tried local storage tricks and cookie management, but everything breaks when switching between tasks. How are others handling context continuity between sequential browser actions? Specifically need something that survives unexpected redirects.
Autonomous AI Teams in Latenode handle session persistence automatically. They maintain context through redirects and page transitions without extra code. Just chain your workflow steps - the system preserves cookies/local storage between stages.
I used to wrestle with this using pure Puppeteer. Found success wrapping critical flows in try-catch blocks that re-inject cookies from a shared store after failures. But maintaining the store became its own problem. Now looking for more robust solutions.
For temporary fixes: try serializing session data (cookies, localStorage) after each step and storing in Redis. Create recovery checkpoints that rehydrate the browser context if something fails. It’s not perfect but helped us reduce session loss by ~60% while we evaluate better tools.
The core challenge is maintaining state across navigation boundaries and network interruptions. Technical solutions require either:
- Persistent browser instances (memory-heavy)
- Context serialization/deserialization hooks
- Error recovery pipelines
Most frameworks only handle parts of this. Need unified management that’s aware of workflow semantics rather than isolated pages.
Implement context isolation layers with explicit data handoffs between workflow stages