The Principal Dev – Masterclass for Tech Leads

The Principal Dev – Masterclass for Tech LeadsNov 27-28

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The AI browser agent.
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🤖 LLM Quickstart

  1. Direct your favorite coding agent (Cursor, ClaudeS, etc) to Agents.md
  2. Prompt away!

👋 Human Quickstart

1. Create environment with uv (Python>=3.11):

uv init

2. Install Browser-Use package:

#  We ship every day - use the latest version!
uv add browser-use
uv sync

3. Get your API key from Browser Use Cloud and add it to your .env file (new signups get $10 free credits):

# .env
BROWSER_USE_API_KEY=your-key

4. Install Chromium browser:

uvx browser-use install

5. Run your first agent:

from browser_use import Agent, Browser, ChatBrowserUse
import asyncio

async def example():
    browser = Browser(
        # use_cloud=True,  # Uncomment to use a stealth browser on Browser Use Cloud
    )

    llm = ChatBrowserUse()

    agent = Agent(
        task="Find the number of stars of the browser-use repo",
        llm=llm,
        browser=browser,
    )

    history = await agent.run()
    return history

if __name__ == "__main__":
    history = asyncio.run(example())

Check out the library docs and the cloud docs for more!


🔥 Deploy on Sandboxes

We handle agents, browsers, persistence, auth, cookies, and LLMs. The agent runs right next to the browser for minimal latency.

from browser_use import Browser, sandbox, ChatBrowserUse
from browser_use.agent.service import Agent
import asyncio

@sandbox()
async def my_task(browser: Browser):
    agent = Agent(task="Find the top HN post", browser=browser, llm=ChatBrowserUse())
    await agent.run()

# Just call it like any async function
asyncio.run(my_task())

See Going to Production for more details.


🚀 Template Quickstart

Want to get started even faster? Generate a ready-to-run template:

uvx browser-use init --template default

This creates a browser_use_default.py file with a working example. Available templates:

You can also specify a custom output path:

uvx browser-use init --template default --output my_agent.py

Demos

📋 Form-Filling

Task = "Fill in this job application with my resume and information."

Job Application Demo Example code ↗

🍎 Grocery-Shopping

Task = "Put this list of items into my instacart."

https://github.com/user-attachments/assets/a6813fa7-4a7c-40a6-b4aa-382bf88b1850

Example code ↗

💻 Personal-Assistant.

Task = "Help me find parts for a custom PC."

https://github.com/user-attachments/assets/ac34f75c-057a-43ef-ad06-5b2c9d42bf06

Example code ↗

💡See more examples here ↗ and give us a star!


Integrations, hosting, custom tools, MCP, and more on our Docs ↗


FAQ

What's the best model to use?

We optimized ChatBrowserUse() specifically for browser automation tasks. On avg it completes tasks 3-5x faster than other models with SOTA accuracy.

Pricing (per 1M tokens):

For other LLM providers, see our supported models documentation.

Can I use custom tools with the agent?

Yes! You can add custom tools to extend the agent's capabilities:

from browser_use import Tools

tools = Tools()

@tools.action(description='Description of what this tool does.')
def custom_tool(param: str) -> str:
    return f"Result: {param}"

agent = Agent(
    task="Your task",
    llm=llm,
    browser=browser,
    tools=tools,
)
Can I use this for free?

Yes! Browser-Use is open source and free to use. You only need to choose an LLM provider (like OpenAI, Google, ChatBrowserUse, or run local models with Ollama).

How do I handle authentication?

Check out our authentication examples:

These examples show how to maintain sessions and handle authentication seamlessly.

How do I solve CAPTCHAs?

For CAPTCHA handling, you need better browser fingerprinting and proxies. Use Browser Use Cloud which provides stealth browsers designed to avoid detection and CAPTCHA challenges.

How do I go into production?

Chrome can consume a lot of memory, and running many agents in parallel can be tricky to manage.

For production use cases, use our Browser Use Cloud API which handles:


Tell your computer what to do, and it gets it done.

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