Browser Use is a foundation for building and running AI agents that operate a web browser. As an open-source Python library, you hand it a task and it browses pages, fills in forms, and extracts information on its own; it can also be embedded via API or CLI and run locally. On top of that, a hard-to-detect stealth browser environment and “BU 2.0”, an in-house LLM specialized in browser control, are available as a hosted agent through the cloud API. Since its release in November 2024, the project has kept widening what developers can delegate to AI agents: in July 2026 it shipped “Browser Use CLI 3.0”, which integrates browser control and Python execution for coding agents, and in August it extended its scheduling feature ─ which lets you book recurring task runs ─ to V4 agents as well.
Key Features
- Local execution as a Python library: Install it with
pip install browser-use, pair it with any LLM, and build an agent loop locally or in a self-hosted environment. The source code is published on GitHub under the MIT license - Cloud API / SDK: SDKs for Python, TypeScript, and cURL let you hand a task to the hosted agent and get results back. If you connect directly to the cloud browser’s CDP URL, you can also drive it from Playwright, Puppeteer, or Selenium
- Stealth browser and proxy infrastructure: A cloud browser platform with hard-to-detect stealth browser builds, residential proxies covering 195+ countries, and CAPTCHA solving
- Browser Use CLI: A CLI that integrates browser control and Python execution directly into coding agents. Version 3.0 was released in July 2026
- BYOK, scheduling, and session sharing: BYOK (Bring Your Own Key) support for using your own LLM API key, a scheduling feature for recurring task runs, and session sharing within the same browser context
Pricing
| Plan | Price | Highlights |
|---|---|---|
| Free | $0/month | 10 agent tasks/month, 3 concurrent browser sessions, CAPTCHA solving and webhooks included |
| Pay as you go | Credit-based | No monthly cap; usage billed against purchased credits. Concurrency rises to 10 after your first top-up |
| Dev | $29/month ($290/year billed annually) | $29 worth of credits per month, 25 concurrent sessions, BYOK support, scheduling |
| Business | $299/month ($2,990/year billed annually) | $299 worth of credits per month, 200 concurrent sessions, unlimited browser profiles, premium proxies |
| Scaleup | $999/month ($9,990/year billed annually) | $999 worth of credits per month, 500 concurrent sessions, custom proxy support |
| Enterprise | Contact sales | SLA, dedicated support |
In addition to the above, usage-based charges apply: cloud browser sessions cost $0.02 per browser hour, and managed residential proxies cost $5/GB ($4/GB on the Scaleup plan).
Pricing is current as of August 2026. Check the official site for the latest pricing.
Pros and Cons
✅ Pros
- Open source (MIT), free to start, and runs locally with any LLM you choose
- The cloud version ships with the infrastructure you need to avoid detection ─ stealth browsers, CAPTCHA solving, residential proxies ─ from day one
- The cloud API can be called from Python, TypeScript, or cURL, and CDP connections are compatible with Playwright, Puppeteer, and Selenium, so existing assets carry over easily
- The “Browser Use CLI” for coding agents makes it easy to fold browser control into your development workflow
⚠️ Cons
- Automated browser control can run afoul of logged-in sessions or a target site’s terms of service, so you need to confirm legality and permitted scope on your side
- The cloud version is largely usage-based (browser hours, tasks, proxies), so you need to estimate usage and manage costs
- It is not a product you can finish in a GUI; implementation in Python or TypeScript is assumed, so some engineering knowledge is required
Comparison with Similar Services
| Criteria | Browser Use | Playwright | Steel | Hyperbrowser |
|---|---|---|---|---|
| Positioning | Agent control library + cloud infrastructure | Browser automation library | Cloud browser API (OSS) | Cloud browser platform |
| How AI agents decide actions | Built-in agent loop where the LLM decides what to act on and when | Assumes deterministic scripts; AI control must be implemented separately | Focused on browser execution infrastructure; you choose the automation framework or agent freely | Leads with agent-oriented features (CAPTCHA solving, stealth, etc.) |
| Stealth / CAPTCHA handling | Standard in the cloud version | Not supported out of the box (requires your own implementation) | Supported | Supported |
| Local execution | Yes (OSS, MIT) | Yes (OSS) | Cloud-centric | Cloud-centric |
Who Is It For
- Developers who want to hand page browsing, form filling, and data extraction to an AI agent using nothing but natural-language instructions
- Engineers who want to extend existing Playwright, Puppeteer, or Selenium assets into AI-agent-driven operation
- Teams that want to automate routine, login-free tasks in a hard-to-detect stealth browser environment
- Developers who want to build browser control into a coding agent’s workflow
Summary
Browser Use is a foundation for browser-operating AI agents that offers both the convenience of an open-source Python library you can run locally and the operational muscle of a cloud version equipped with stealth browsers, CAPTCHA solving, and residential proxies. Since its November 2024 release it has kept expanding on the cloud side with additions like the CLI and scheduling, and it is often used alongside deterministic automation libraries such as Playwright. When getting started, try the free tier or the OSS version first, then weigh a usage-appropriate pricing plan as you move toward production.