Browser Use：用 Python 自动操作网页

Open-source Python library for AI browser agents, plus Browser Use Cloud: stealth browsers and a hosted agent API.

The open-source browser agent. Run it locally with any LLM, or on Browser Use Cloud: stealth browsers from $0.02/hour, top score (90.5%) on Stealth Bench V2. Navigate the web like a human does. Find an available slot, pick a date and time, handle the CAPTCHA, and book a driving test. Explore more demos and prompts ↗ AI agents and crawlers: read browser-use.com/llms.txt for the product map (open source, Browser Harness, Cloud browsers, Agents API, pricing) and docs.browser-use.com/llms.txt for the documentation index. Browser Use is the open-source browser agent (Python and TypeScript), a $0.02 per browser-hour cloud browser with stealth, CAPTCHA solving and residential proxies, and a hosted agent API. Which Browser Use do I need? Path 1: Fully Hosted Cloud: Scale up with a fully hosted agent and browser. Path 2: CLI: Automate your own browser tasks. Path 3: Python Library: Run the open source Browser Use agent locally from your own code. Quickstart Path 1: Fully Hosted Cloud Scale browser automation with our hosted agent, stealth browsers, and infrastructure for profiles, recordings, and data policies. Get started with the API ↗ New Google, GitHub, or Microsoft signups get $1 cloud credit. Path 2: CLI Paste this prompt into Claude Code, Codex, Hermes, OpenClaw, or your favorite agent. Install or upgrade browser-use to the latest stable version with uv using Python 3.12, run `browser-use skill install` to register the skill, and connect it to my browser. If setup or connection fails, follow https://github.com/browser-use/browser-harness/blob/main/install.md. Path 3: Python Library Run the Browser Use agent locally from Python, with your choice of model and a local or cloud browser: 1. Install Browser Use (Python >= 3.11): With uv installed, run uv init --python 3.12 first if you're starting a new project. uv add browser-use 2. Add your OpenAI API key to .env: # .env OPENAI_API_KEY=your-key # BROWSER_USE_API_KEY=your-key # Optional: BU2 model or cloud browser For either optional Browser Use service, get a Browser Use API key. 3. Save this as agent.py: import asyncio from browser_use import Agent, Browser, ChatBrowserUse, ChatOpenAI from dotenv import load_dotenv load_dotenv() async def main(): llm = ChatOpenAI(model='gpt-5.6-luna', reasoning_effort='xhigh') # llm = ChatBrowserUse(model='bu-2-0') # Use BU2 instead; requires BROWSER_USE_API_KEY agent = Agent( task="Find the number of stars of the browser-use repo", llm=llm, # browser=Browser(use_cloud=True), # Use a cloud browser; requires BROWSER_USE_API_KEY ) history = await agent.run() print(history.final_result()) if __name__ == "__main__": asyncio.run(main()) To use BU2, replace the ChatOpenAI line with the commented ChatBrowserUse line. The cloud-browser option works with either model. 4. Run it: uv run agent.py The agent opens a browser, looks up the repository, and prints its answer. 5. Run the same agent on a cloud browser (no Chrome to install; works in Docker, CI, and serverless): Set BROWSER_USE_API_KEY (get a key), then uncomment the browser= line in agent.py and run it again: agent = Agent( task="Find the number of stars of the browser-use repo", llm=llm, browser=Browser(use_cloud=True), ) Cloud browsers cost $0.02 per browser-hour plus network traffic (pricing), and add stealth, residential proxies, CAPTCHA solving, and a live view URL. Same code, no other changes. Python library docs ↗ Browser Use toolsets for Claude Maintained by Browser Use. Compatible with Claude. Use Claude's browser toolset with Browser Use as the driver. Browser Use implements all 31 browser actions and can control a local browser, a Browser Use Cloud browser, or an existing remote browser over CDP. Bash is included in the Browser Use integration for processing data and writing files. Requires an Anthropic SDK version that includes anthropic.tools.browser. Bash requires a Linux or macOS host with /bin/bash; use WSL on Windows. The snippet below runs inside an async function; see the quickstart for a complete script. import os from anthropic import AsyncAnthropic from browser_use.integrations.toolsets_for_claude import Bash, BrowserUse task = 'Open example.com and report its page title.' driver = BrowserUse() # Or BrowserUse(use_cloud=True) bash = Bash(output_dir='outputs') async with driver, AsyncAnthropic() as client: runner = client.beta.messages.tool_runner( model=os.environ['ANTHROPIC_MODEL'], max_tokens=32_768, max_iterations=100, tools=[driver, bash], messages=[{'role': 'user', 'content': task}], ) result = await runner.until_done() Quickstart ↗ · Integration docs ↗ Browser Use Benchmark v2 This very hard benchmark targets the hardest browser tasks. On easier tasks, even smaller models can achieve very high success rates. Results shown are from a 60-task subset of BU Bench V2. Integrations, hosting, custom tools, MCP, and more on our Docs ↗ FAQ Should I use the fully hosted cloud, CLI, or Python library? Fully Hosted Cloud: Send tasks through the API and let Browser Use run the agent, browser, and infrastructure. CLI: Give an existing agent (Claude Code, Codex, Hermes, OpenClaw, Pi, Cursor, etc.) browser access. You can use it interactively or in scripts. Python Library: Run the open source agent in your own application, with custom tools, structured output, and your choice of model. The CLI and Python library can each connect to a local or cloud browser. A cloud browser hosts the browser; the fully hosted API runs the agent as well. What's the best model to use? We recommend BU2, our model optimized for browser automation: ChatBrowserUse(model='bu-2-0'). It uses BROWSER_USE_API_KEY; ChatBrowserUse() currently selects the same model. The best choice depends on your tasks, latency, and budget. See the BU2 model card, benchmark, and supported models and pricing to compare options. Can I use Claude / GPT / Gemini through ChatBrowserUse? Yes. ChatBrowserUse accepts provider-prefixed model IDs through the Browser Use gateway, using BROWSER_USE_API_KEY: