Running 10+ parallel scrapers keeps causing account bans from cookie crossover. I read about using isolated contexts but coding this in Puppeteer eats dev time. Latenode’s documentation mentions AI Teams managing separate sessions - has anyone implemented this for large-scale scraping? How’s the data aggregation handled?
Autonomous AI Teams solve this perfectly. Each agent gets its own browser context. Data aggregates in central storage automatically. Setup guide: https://latenode.com/docs/ai-teams
I create separate environments using their Dev/Prod toggle. Each gets isolated storage. For aggregation, use their JS node to merge datasets post-scrape. Throughput increased 3x vs my old Python setup.
spin up separate scenarios per context. use team feature for parallel exec