Browser automation, compared
Browser automation lets code, or an agent, use a website the way a person does, which matters wherever there is no API. It comes in three parts: the library that drives the browser, the AI layer that decides what to do, and the infrastructure that runs browsers at scale.
Learn the idea What an AI agent is, and what changes when AI takes action on Horizon
Open this layer in the explorerAt a glance
Every tool in this layer, with where it fits and the facts that usually decide it.
| Tool | Where it fits | Licence | Self-hostable | Hosted API | Maturity |
|---|---|---|---|---|---|
| Playwright Browser automation library | The dependable foundation whenever code (or an agent) has to operate a real browser, especially for sites with no API. | Open source | Yes | No | Mature |
| Browser Use AI browser agent | A fit when an agent must complete goal-directed tasks on sites with no API, and the steps vary too much to script by hand. | Open source | Yes | Yes | Growing |
| Browserbase Managed browser infrastructure | The right call when agents browse at scale and you do not want to run, patch, and scale browser infrastructure yourself. | Proprietary | No | Yes | Growing |
| Browserless Browser infrastructure | A fit when you need managed headless-browser infrastructure but want to keep it inside your own environment. | Source available | Yes | Yes | Established |
| Playwright MCP Browser MCP server | A fit when you want to give an MCP-aware agent browser control without writing a custom integration. | Open source | Yes | No | Growing |
| Puppeteer Browser automation library | A fit for Node.js projects that need straightforward Chrome automation and value a mature, stable library. | Open source | Yes | No | Mature |
| Selenium Browser automation library | A fit where the widest browser and language coverage matters, or a team has deep existing Selenium investment. | Open source | Yes | No | Mature |
| Stagehand AI browser framework | A fit when a browser task is mostly stable but has a few fragile steps better handled by natural language than selectors. | Open source | Yes | No | Growing |
| Steel Browser infrastructure | A fit when agents need managed browser sessions and you want the choice between hosted and self-hosted. | Open source | Yes | Yes | Growing |
How to choose
Start from your situation. Where a line says “our”, it comes from Comet Lab’s own builds.
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The steps are known and stable
Script them directly: a deterministic script beats an agent for a flow that never changes. Playwright is our default browser layer.
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Most steps are stable, and a few keep breaking
Natural-language actions on top of Playwright, for the fragile steps that selectors handle badly.
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The task varies too much to script
An agent works towards a goal given in natural language. When a flow is stable, a script is steadier and cheaper.
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An MCP-aware agent needs a browser
Browser control for the agent without writing a custom integration.
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Agents browse at scale
Browserbase is fully managed; Browserless runs inside your own environment; Steel lets you choose between the two.
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An existing Node.js or Selenium codebase