Browserbase vs Steel

Both solve the same annoying problem: running headless Chrome at scale is miserable, and running it for AI agents is worse, because agents open sessions unpredictably, leave them open, and get themselves blocked.

Browserbase is the more complete product. Sessions start fast, the observability is genuinely good — live view of what the agent sees, full session replay, network logs — and the surrounding pieces you'd otherwise build are included: proxy rotation, stealth and fingerprinting, file downloads, extension support, and integrations with the agent frameworks people actually use. Stagehand, its open-source automation library, is a good abstraction over "click the thing that looks like a submit button" and works on other backends too.

Steel is the open-source alternative. The API is smaller and more transparent, sessions are a straightforward primitive, and the whole thing can be self-hosted — which matters if your automation touches data that can't leave your infrastructure, or if you'd rather not depend on a startup for a load-bearing part of your product.

For a team shipping an agent product where browser reliability is someone else's problem, Browserbase is the pragmatic pick and the observability alone justifies it during debugging.

For a team that wants control, cost predictability at volume, or self-hosting, Steel is the better fit and the open-source licence means your worst case is running it yourself rather than rewriting.

Both are far better than maintaining your own Chrome fleet, which is a job that expands to fill whatever time you give it.

Browser automation fails in ways that are hard to reproduce. The selector worked yesterday. The page rendered a cookie banner only for this region. The site served a different layout to a headless user agent. The agent clicked something that wasn't there yet.

This is why session recording is the single most valuable feature in this category, and it is Browserbase's strongest card. Live view lets you watch a running session, which turns "the agent is stuck" into a five-second diagnosis. Replay lets you scrub back through a failed run and see the exact frame where the page diverged from expectation. Network logs tell you whether the request failed or the parse did.

Steel gives you the browser and expects you to bring your own observability. That is a coherent choice — you can attach the Chrome DevTools Protocol yourself, capture screenshots at each step, and log what you need — but it is work, and it is work you will do during an incident rather than before one.

If you are building an agent product where a user will report "it didn't work" with no further detail, weight this heavily. If your automation is deterministic and you control the target site, it matters much less.

Any automation against sites you don't control eventually meets bot detection. Cloudflare, Akamai, DataDome and PerimeterX all fingerprint headless browsers, and the signals are numerous: TLS fingerprints, canvas and WebGL rendering, timing, missing browser APIs, and IP reputation.

Browserbase treats this as a product surface. Managed fingerprinting, residential proxy pools, CAPTCHA solving integrations, and — importantly — a team whose job is keeping up when detection changes. That last part is the real value, because the arms race never stops and staying current is a continuous cost.

Steel gives you proxy support and the ability to configure the browser, and leaves the strategy to you. Self-hosting means you're sourcing your own proxies and maintaining your own evasion. Perfectly doable; also a project.

Two things worth saying plainly. First, if the target site is your own, or your customer's, none of this matters and you should not pay for it. Second, evading bot detection may breach a site's terms of service and, depending on what you're collecting and where, may raise legal questions well beyond an engineering decision. Get advice before you build a business on it rather than after.

Both bill roughly by browser time — sessions running, measured in hours, with concurrency limits by plan. The trap in both cases is idle sessions.

An agent opens a browser, navigates, extracts something, and then the model thinks for twenty seconds before deciding what to do next. That browser is open and billing. Multiply by a few thousand sessions a day and idle time can exceed active time. The mitigations are the same everywhere: aggressive session timeouts, closing sessions in a finally block rather than on the happy path, and reusing a session across an agent's steps rather than opening one per action.

At low volume, hosted pricing is obviously correct — a handful of sessions a day costs less than an hour of your time. The crossover comes when browser hours become a top-three infrastructure line, and that is exactly where Steel's self-hosting option changes the maths: your cost becomes containers and bandwidth rather than a per-hour rate, at the price of owning the operations.

Do the arithmetic with your real numbers, including the idle time you haven't measured yet. Most teams underestimate session duration by a factor of two or three.

Browsers built for CI test suites and browsers built for AI agents have different requirements, and this category exists because of the difference.

Session persistence matters more than it does in testing. An agent may need to log in once and reuse that authenticated context across many steps and many minutes. Check how each platform persists cookies and local storage across a session, and whether contexts can be saved and resumed — this is the difference between one login and a hundred.

Structured extraction matters. Agents need page content in a form a model can read: cleaned text, an accessibility tree, or a simplified DOM, not two hundred kilobytes of minified markup. Both platforms have answers here; Stagehand's is the more developed, and it works against multiple backends.

Concurrency behaviour matters. Agents burst — one user's request spawns ten parallel sessions. Check the concurrency limit on your plan and, more importantly, what happens when you exceed it: a queue is fine, an error your agent doesn't handle is not.

Finally, check timeout defaults on both sides. The single most common production incident in this category is an orphaned session pool that nobody notices until the bill arrives.