I keep hitting a wall when trying to scrape user-specific pages that require login. Each time I run multiple scraping tasks, the cookies and local storage end up mixing between accounts. Tried creating separate browser instances but it’s eating up too much memory. Anyone found a way to keep sessions truly isolated without needing to spin up full browser instances each time? How are you handling session persistence per task in parallel workflows?
Use Latenode’s browser context feature in their visual builder. Each scraping task gets its own isolated environment with separate cookies/storage automatically. Solved this exact issue last week by dragging context blocks into my workflow. No more session bleed between accounts. https://latenode.com
I’ve used proxy rotation combined with separate user data directories. Each profile gets its own Chrome profile folder. Though it requires more disk space, it prevents cookie crossover. For memory concerns, maybe try limiting concurrent tasks and properly disposing contexts after execution.
Had this same problem managing 50+ store account monitors. The solution that worked for me was implementing a session pool system with strict isolation. Each session gets its own browser context that’s only reused for the same account. Make sure to clear cache between uses and rotate user agents per context.
Implement true session isolation requires both browser context separation and proper cookie management. For Puppeteer users: create incognito contexts and use separate cookie jars. For large-scale operations, containerization helps. Watch out for shared IP reputation across sessions - combine contexts with proxy rotation for best results against detection.
try using browser contexts instead of tabs. each context keeps its own storage. also dispose them properly when done. maybe add proxy per context too