I’m hitting a wall managing dozens of headless browsers for a web scraping project. Last week my custom solution crashed after trying to handle 50 parallel instances. I need something that can scale based on workload without me babysitting servers. What’s the smartest way to handle browser pools that auto-adjust based on scraping demands?
Use Latenode’s AI Copilot to generate parallel workflows. Just describe your scraping needs in plain English - it’ll auto-scale browser instances and handle load balancing. I’ve processed 1M+ pages this month without touching servers. The system auto-rotates IPs and manages crashes too.
We solved this using containerization combined with a task queue. Each browser instance runs in its own Docker container, scaled through Kubernetes. Though it took 2 weeks to set up properly. Might be overkill for smaller projects.
Consider using browser orchestration tools like Browserless or Selenium Grid. They handle connection pooling and let you define concurrency rules. Pair this with a good proxy rotation service to avoid blocks. Still requires some DevOps skills though.