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
Anchor Browser: Automation Tasks produce versioned workflows from a prompt or a recorded demonstration. Test and edit the workflow, then invoke it through the task API. Compare this authoring model with writing a handler directly.
Cloudflare Browser Run: Deploy browser automation within a Cloudflare Worker or connect to Browser Run from an external process over CDP. Workers provide the execution layer; compare their runtime and deployment model separately from browser access.
Sources: docs.anchorbrowser.io [1] ↗developers.cloudflare.com [2] ↗
Compare deployment ownership
Anchor Browser: Use a browser session from existing code or deploy a reusable Automation Task. The task path includes workflow editing and versioning; direct CDP leaves execution ownership with your application.
Cloudflare Browser Run: A Worker-based deployment fits Cloudflare application infrastructure; direct CDP keeps the controller elsewhere. Durable Objects are a composition for stateful browser work rather than a generic persistent browser profile.
Sources: docs.anchorbrowser.io [1] ↗developers.cloudflare.com [2] ↗
Compare the evidence from a run
Anchor Browser: Anchor documents MP4 session recordings and a live browser used during demonstrations. Keep the session artifact alongside the task's version, inputs and completion result.
Cloudflare Browser Run: The Browser Run documentation lists live view, human-in-the-loop and session recording as beta features. Check current availability for the selected integration; beta support is not the same as a universal default.
Sources: docs.anchorbrowser.io [1] ↗developers.cloudflare.com [2] ↗
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 | Anchor Browser | Cloudflare Browser Run |
|---|---|---|
| Code execution | Automation Tasks | Workers composition |
| Scheduled execution | Task execution path | Workers trigger composition |
| Recordings / replay | Documented | Beta |
Sources: docs.anchorbrowser.io [1] ↗docs.anchorbrowser.io [2] ↗docs.anchorbrowser.io [3] ↗docs.anchorbrowser.io [4] ↗docs.anchorbrowser.io [5] ↗docs.anchorbrowser.io [6] ↗developers.cloudflare.com [7] ↗
Which approach fits?
Choose Anchor Browser when you want managed sign-in and an automation task you can demonstrate, edit and invoke from your application.
Anchor Browser tradeoff: A demonstrated automation task and an arbitrary Python handler are different authoring models. Evaluate how much control you need over the code, dependencies and exact workflow.
Choose Cloudflare Browser Run when you already deploy Workers and want browser automation within that application's execution and scheduling model.
Cloudflare Browser Run tradeoff: A Worker and a browser session have separate resource and lifecycle constraints. Confirm the chosen browser library and binding path instead of assuming an unchanged local browser script will deploy directly.
Sources: docs.anchorbrowser.io [1] ↗developers.cloudflare.com [2] ↗
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
Anchor's demonstration or prompt-authored Automation Tasks and Notte's Python Functions suit different authoring preferences. Both document website-authentication tooling, so a credible recommendation must address the actual login and workflow-editing path.
Cloudflare can be an economical architectural choice when Workers and the surrounding scheduling already exist in your application. Notte is worth evaluating when a browser, deployed Python handler and authentication workflow should share a product rather than a Workers composition.
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.anchorbrowser.io [1] ↗developers.cloudflare.com [2] ↗docs.notte.cc [3] ↗