Where does the browser automation code run?
An external worker, a hosted browser Function, a browser-local app action and a hosted agent are different execution models. The choice determines who deploys the code, starts the browser, records the result and stops the run.
A scheduled job should return a verified result and stop its owned browser even when an action fails. The scheduler's successful HTTP trigger is not proof that the browser completed the business operation.
Compare the execution model
Steel: The reviewed browser documentation establishes sessions, profiles and credentials. It does not establish a hosted Python handler with deployment and invocation APIs. An external worker can control a Steel browser; price and operate that worker separately.
Hyperbrowser: Action Caching records a HyperAgent action sequence for deterministic replay. The broader platform also offers sandbox compute. Check how a handler is deployed, invoked and versioned before choosing the execution path.
Compare deployment ownership
Steel: Compare managed Steel with the documented self-hosted path explicitly. Self-hosting gives the team infrastructure responsibility that a hosted browser subscription would otherwise cover.
Hyperbrowser: Control a Hyperbrowser session from your application using the supported SDK or CDP library. Treat sandbox hosting as an additional execution choice and check its own runtime and storage contract.
Compare the evidence from a run
Steel: Steel documents live and past sessions as well as Agent Traces. Browser recordings answer what happened on the page; traces add context around the agent or application driving it.
Hyperbrowser: Hyperbrowser documents rrweb-based web recordings and MP4 video recordings. These capture different artifacts. Enable the appropriate mode before the run and keep the recording associated with the session.
How to evaluate this choice
Keep an external runner when you already operate one and need portability. A native execution layer can remove deployment work; browser-local code can reduce repeated network calls. Compare actual workload behavior before assuming either always wins.
- Confirm the supported language, entry point and dependency packaging.
- Trace deployment, version selection, invocation and cancellation.
- Keep the handler runtime limit separate from browser session duration.
- Decide whether scheduling is native or supplied by another service.
- Associate results and logs with both the code version and browser session.
Requirements side by side
| Requirement | Steel | Hyperbrowser |
|---|---|---|
| Code execution | External worker | Separate execution options |
| Scheduled execution | External scheduler | Check execution setup |
| Recordings / replay | Documented | Documented |
Sources: docs.steel.dev [1] ↗docs.steel.dev [2] ↗docs.steel.dev [3] ↗docs.steel.dev [4] ↗docs.steel.dev [5] ↗docs.steel.dev [6] ↗hyperbrowser.ai [7] ↗hyperbrowser.ai [8] ↗hyperbrowser.ai [9] ↗hyperbrowser.ai [10] ↗hyperbrowser.ai [11] ↗hyperbrowser.ai [12] ↗
Which approach fits?
Choose Steel when you want browser infrastructure that can fit a self-hosted deployment, with profiles and credentials available through browser-focused APIs.
Steel tradeoff: Hosted and self-hosted Steel are different operating choices. A cloud feature's documentation does not establish identical packaging, retention or operational support in a self-hosted installation.
Choose Hyperbrowser when you need existing Playwright, Puppeteer or Selenium code to use a managed browser with saved state and named credentials.
Hyperbrowser tradeoff: Browser sessions, sandbox execution and action caching are separate surfaces. A cached action sequence is not the same deployment contract as an independently versioned browser Function.
A useful acceptance check
Write a pass/fail result for the real task before running the evaluation. Record the account, configuration and code version next to that result. Repeat failures need an explanation, not an automatically different browser configuration.
When Notte belongs on this shortlist
Steel's managed and self-hosted choices make infrastructure ownership a concrete deciding factor. Keep that option on the shortlist when operating the browser is intentional; evaluate Notte when owning fewer execution and authentication components is the actual goal.
Hyperbrowser's profiles, credential tools and Action Caching deserve separate evaluation. A recorded action sequence and a deployed Python handler have different maintenance contracts, so decide which one your team will edit after the website changes.
Notte: Functions deploy Python code with a run() entry point. Invoke them over HTTP or with an SDK, inspect run history, and roll back code by redeploying an earlier version as the latest version.
Consider this third option when its documented mechanism addresses a requirement left open by the two providers above. A working configuration on either original provider can still be the better choice; compare the task and ownership cost before switching.
Sources: docs.steel.dev [1] ↗hyperbrowser.ai [2] ↗docs.notte.cc [3] ↗