TL;DR
- Use Playwright when your team wants direct control of browser automation and can operate the runtime.
- Shortlist Browserbase, Steel and Kernel when managed browser infrastructure is the missing layer.
- Consider Browser Use when model-directed browsing is part of the workflow, while separating its agent and browser costs.
- Choose on session persistence, debugging, concurrency and total usage cost. A browser service does not guarantee that an agent completes the task.
Contents
- Quick comparison
- Playwright: best for explicit, maintainable browser workflows
- Browserbase: best for managed browser capacity
- Browser Use: best for model-directed web work
- Steel: best for teams comparing managed and self-operated browsers
- Kernel: best for browser workflows needing persistent profiles
- What matters in a GTM browser workflow
- How to compare cost and choose
- FAQ: browser automation for AI agents
Quick comparison
| Tool | Best fit | Buying distinction |
|---|---|---|
| Playwright | Engineering teams building explicit browser workflows | Automation framework; you operate or choose the hosting |
| Browserbase | Teams buying managed browser sessions | Hosted runtime with usage and concurrency allowances |
| Browser Use | Workflows in which an AI agent chooses browser actions | Agent tooling and cloud execution need separate cost attention |
| Steel | Developers wanting a browser API and open-source option | Compare managed usage with the cost of operating your own deployment |
| Kernel | Agent applications needing managed browsers and persistent profiles | Inspect profile reuse, session controls and the surrounding workflow |
These tools occupy overlapping layers. Playwright code can run against a hosted browser, and an agent framework can use browser infrastructure supplied by another vendor. Choose the combination required by the application rather than insisting on one product for every layer.
Playwright: best for explicit, maintainable browser workflows
Playwright is an open-source browser automation framework supporting Chromium, Firefox and WebKit. It gives developers direct control over navigation and interaction, with facilities for isolating browser contexts and inspecting execution.
It is a good fit when the workflow is sufficiently stable to express in code: open a permitted application, locate a report, select a date range and retrieve the result. An AI model can help produce or maintain that code without being asked to decide every click during every run.
Cost: the framework is open source; compute, hosting and engineering are still costs. It can run in a cloud environment, not just on a developer's laptop.
Tradeoff: somebody owns browser updates, failed runs and the deployment. For a small internal workflow that may be simple. For many concurrent sessions, infrastructure operations become part of the product you are building.
Choose it when control and reproducibility matter, particularly where the sequence of actions is known in advance.
Browserbase: best for managed browser capacity
Browserbase provides hosted browsers that can sit beneath automation code or an agent. The buying case is that your team wants to build the workflow without maintaining the browser fleet itself.
Its published Developer plan is $20 monthly with 100 browser hours and 25 concurrent sessions; Startup is $99 with 500 hours and 100 concurrent sessions. Additional usage and proxy traffic have separate rates. A free tier is available for initial exploration, with tighter limits.
Those numbers describe browser infrastructure, not the complete cost of an AI task. Model calls and any other services used by the application belong in the calculation too.
Tradeoff: a generous concurrency allowance is valuable only if your application and target systems can use it. A job that fails because an account requires reauthentication does not become reliable merely because more browsers are available.
Choose Browserbase when hosted sessions, operational visibility and predictable capacity are the immediate infrastructure requirements.
Browser Use: best for model-directed web work
Browser Use is relevant when the task is expressed as an objective and an agent needs to decide how to navigate towards it. This differs from an automation script whose actions are specified in advance.
The useful buying question is how much flexibility the workflow needs. Reading different supplier websites or finding a document across inconsistent navigation may benefit from model-directed browsing. Repeating a fixed export operation may be simpler with explicit code.
Cost: distinguish cloud browser usage, proxy traffic and the model or agent execution component. Do not compare an advertised browser-hour rate with another product's full task price as if they cover the same work.
Tradeoff: flexible navigation introduces variation. Define what counts as completion and what evidence the agent must return. A plausible written answer is insufficient when the job was to retrieve a particular file or update a particular record.
Choose it when dynamic navigation is a real requirement, and keep stable steps deterministic where that simplifies maintenance.
Steel: best for teams comparing managed and self-operated browsers
Steel offers a browser API with an open-source path as well as hosted service. That makes it relevant to teams deciding where browser operations should sit in their architecture.
The managed pricing model separates the subscription or access arrangement from usage such as browser time and proxy traffic. Its official pricing update describes this structure; use the current rate card for the volumes you expect rather than older plan comparisons.
Tradeoff: an open-source option does not make a production deployment costless. Account for deployment, updates, capacity and debugging. Conversely, a managed service may be worthwhile even where the underlying software is available to operate yourself.
Choose Steel when API-based browser control and deployment flexibility matter. Ask the team that will maintain the workflow to assess both operating models before procurement fixes the choice.
Kernel: best for browser workflows needing persistent profiles
Kernel provides managed browser infrastructure, including profiles for preserving browser state between sessions. Persistent state matters when authorised workflows rely on sessions, cookies or application preferences.
Design profile ownership carefully. An account used for one client or workflow should not accidentally become the context for another. Record which identity a job is expected to use, and verify it before any meaningful action.
Cost: use the current Kernel pricing page and the planned session pattern. Long-lived work and short bursts of activity can create different usage even when the number of completed jobs is similar.
Tradeoff: persistence reduces repeated setup but does not eliminate expired sessions, changed permissions or application challenges. The workflow still needs a clear recovery path.
Choose Kernel when profile handling and browser execution fit the agent application you are building; validate those details with the actual target application.
What matters in a GTM browser workflow
A browser layer is useful when an authorised business task has no convenient integration, or when the information genuinely lives in a web interface. Before adopting one, check whether the target system already offers a usable export or API. Browser operation is one route, not a requirement to make an automation “agentic.”
For account research, define the sources, output fields and evidence links. For report retrieval, define the report identity, date range and expected file. For record updates, define the destination record and allowed fields. These completion criteria let the workflow recognise failure instead of reporting success after the wrong action.
Inspect debugging before comparing scale. Can an operator determine which page the session reached and why it stopped? Can the job resume without repeating a completed action? If a run creates a record and then fails, a retry should not silently create a second one.
An infrastructure vendor's claims about stealth or detection do not establish permission to automate a particular service, nor do they guarantee uninterrupted access. Design around the authorised workflow and the target application's actual behaviour.
How to compare cost and choose
Model a completed job, not just a browser hour. Include session duration, model calls, proxy traffic where needed, unsuccessful attempts and operator intervention. A low browser rate can still produce an expensive task if the agent repeatedly loses its place.
Begin with the simplest stack that completes the representative job. Use Playwright where explicit steps work. Add hosted infrastructure when operating browsers becomes a burden. Add model-directed decisions where page variation makes them useful.
For enterprise or multi-client work, also inspect identity separation, access administration and the information retained for troubleshooting. These are practical operating requirements: the person investigating a failed run should be able to identify its account and context without guessing.
FAQ: browser automation for AI agents
Do I need an AI agent to use Playwright?
No. Playwright can run a fully specified workflow. An agent can use it, but model-directed decision-making is optional.
Are Browserbase and Playwright alternatives?
They can be complementary. One provides hosted browser infrastructure; the other can control a browser through code.
Does persistent state mean a login never expires?
No. The application can expire sessions or require renewed authentication. Build a recovery route into the workflow.
Which tool is cheapest?
That depends on the complete task, including retries and model usage. Compare the same workload and required operating features.
Can a browser agent replace a sequencer?
It can operate an authorised interface, but a sequencer still supplies campaign state, scheduling and reply handling. Browser access alone does not reproduce those functions.
The agent still needs an execution workflow. Our comparison of n8n vs zapier vs make covers the adjacent options.
Sources and comparison method
The recommendations are editorial assessments of workflow fit, not results from a comparative product test. Supporting product references are linked below; prices and plan entitlements should be confirmed for the configuration being purchased.
- Playwright documentation
- Browserbase pricing
- Browser Use pricing
- Steel pricing model update
- Kernel pricing
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