I’ve been working on a web scraping project that needs to pull data from multiple sites with different content structures. The problem I’m running into is that I’m managing keys for OpenAI, Claude, and a couple other providers just to handle different parts of the workflow. One site needs Claude’s reasoning for parsing complex tables, another needs OpenAI for faster extraction, and I’m stuck maintaining separate subscriptions and rotating credentials everywhere.
It’s getting messy. Every time I add a new scraping task, I’m wondering which model would work best, but I also have to think about which account has available quota and whether I’m even set up to use it. The operational overhead is killing me.
Has anyone found a cleaner approach to this? I feel like there’s got to be a better way than managing a dozen provider accounts for a single browser automation pipeline.
Yeah, I hit this exact wall about six months ago. The key rotation and account juggling was a nightmare. What changed for me was flipping my approach entirely.
Instead of managing multiple subscriptions, I switched to a unified platform that handles all the model access through a single integration. One subscription gives you access to GPT-5, Claude Sonnet, Gemini 2.5 Flash, and dozens of other models. You pick the right model for each step in your workflow without touching API keys at all. The platform handles the credentials behind the scenes.
For your scraping pipeline specifically, you can set Claude for complex parsing on one site, switch to GPT for faster extraction on another, and the whole thing just works. No credential management, no quota juggling between accounts. It’s genuinely simpler operationally.
The workflows I built this way are cleaner and run more reliably because I’m not burning mental energy on infrastructure stuff anymore.