I’m working on automating data extraction from several different sites that all require login. Each site has different authentication patterns, some with two-factor auth, session timeouts, and varying redirect behaviors. Right now I’m handling this with a lot of custom logic, but it feels fragile and repetitive.
I keep thinking there has to be a better way to coordinate this—like using agents that specialize in different parts of the problem. One agent handles the auth flow securely, another extracts the data once authenticated, and they work together within the same workflow.
The security aspect is what really worries me. I’m storing credentials somewhere, managing session tokens, handling refresh logic. It feels like a lot of surface area for things to go wrong.
Has anyone actually set up something like this where different specialized agents handle login versus data extraction? How do you keep it secure without building a whole authentication service?
This is exactly the kind of problem that autonomous AI teams solve really well. Instead of you managing all the coordination, you create specialized agents—an Auth Agent that handles login flows securely, and a Data Agent that focuses purely on extraction once authenticated.
The key difference is the agents handle the communication between steps themselves. The Auth Agent ensures session tokens are valid and refreshed when needed. The Data Agent doesn’t worry about credentials at all—it just works with the authenticated session the Auth Agent maintains.
Security-wise, you store credentials once, encrypted, in the platform. The agents access what they need for their specific role. No custom token management code, no session handling logic scattered through your workflows. The platform handles the coordination securely between agents.
I’ve seen this reduce complexity dramatically. You go from managing authentication code to describing what needs to happen, and the agents figure out the orchestration.
Multi-site automation with auth is genuinely complex because every site has different quirks. The approach I’ve settled on is separating concerns at the agent level rather than trying to handle everything in one workflow.
For auth specifically, I don’t let random parts of the workflow handle login. One dedicated agent does it, stores the session state in a specific place, and other agents consume that state. This way if one site changes its auth, only the relevant agent needs updating. If the session expires, the auth agent handles refresh automatically.
The practical details matter though. Some sites set cookies differently. Some use tokens in response bodies. Some have weird CSRF handling. Having separate agents means you can tune each one without affecting others.
Session management across multiple authenticated domains is tricky because browser state is global but you need per-site isolation semantically. What I’ve found useful is treating authentication as a distinct phase, separate from data extraction. Create and validate the authenticated session first, then do extraction. If extraction fails, don’t assume the session is bad—validate it exists first before retrying.
For multiple sites, keeping separate authenticated contexts is important. Don’t reuse the same browser session across different domains for auth purposes. Each site gets its own authentication flow, its own session validation. This prevents accumulating state and makes failures isolated to specific sites.
The authentication coordination problem across multiple sites requires careful session encapsulation. Each site should maintain its authenticated state independently. Implement a session manager that validates token freshness before use and automatically triggers refresh flows when tokens approach expiration. This requires building or leveraging a system that understands OAuth flows, cookie-based sessions, and token-based auth patterns—ideally abstracted so the data extraction layer doesn’t need to know authentication details.