browser-use/docs/quickstart.mdx

---
title: "Human Quickstart"
description: ""
icon: "rocket"
---


## 1. Fast setup

<Tabs>
<Tab title="uv">
```bash create environment 
uv venv --python 3.12
```
</Tab>
<Tab title="pip">
```bash create environment with python >= 3.11 
python3.12 -m venv .venv
```
</Tab>
</Tabs>

<Tabs>
<Tab title="Mac/Linux">
```bash activate environment
source .venv/bin/activate
```
</Tab>
<Tab title="Windows">
```bash activate environment
.venv\Scripts\activate
```
</Tab>
</Tabs>

<Tabs>
<Tab title="uv">
```bash install browser-use & chromium
uv pip install browser-use
uvx playwright install chromium --with-deps 
```
</Tab>
<Tab title="pip">
```bash install browser-use & chromium
pip install browser-use
pip install playwright && playwright install chromium --with-deps
```
</Tab>
</Tabs>

## 2. Choose your favorite LLM
Create a `.env` file and add your API key. Don't have one? Start with a [free Gemini key](https://aistudio.google.com/app/u/1/apikey?pli=1).

<Tabs>
<Tab title="Mac/Linux">
```bash create .env file
touch .env
```
</Tab>
<Tab title="Windows">
```cmd create .env file
echo. > .env
```
</Tab>
</Tabs>

<Tabs>
<Tab title="Google">
```bash add your key to .env file
GEMINI_API_KEY=
```
</Tab>
<Tab title="OpenAI">
```bash add your key to .env file
OPENAI_API_KEY=
```
</Tab>
<Tab title="Anthropic">
```bash add your key to .env file
ANTHROPIC_API_KEY=
```
</Tab>
</Tabs>

See [Supported Models](/customize/supported-models) for more.

## 3. Run your first agent

<Tabs>
<Tab title="Google">
```python agent.py
from browser_use import Agent, ChatGoogle
from dotenv import load_dotenv
import asyncio

load_dotenv()

async def main():
    llm = ChatGoogle(model="gemini-flash-latest")
    task = "Find the number 1 post on Show HN"
    agent = Agent(task=task, llm=llm)
    await agent.run()

if __name__ == "__main__":
    asyncio.run(main())
```
</Tab>
<Tab title="OpenAI">
```python agent.py
from browser_use import Agent, ChatOpenAI
from dotenv import load_dotenv
import asyncio

load_dotenv()

async def main():
    llm = ChatOpenAI(model="gpt-4.1-mini")
    task = "Find the number 1 post on Show HN"
    agent = Agent(task=task, llm=llm)
    await agent.run()

if __name__ == "__main__":
    asyncio.run(main())
```
</Tab>
<Tab title="Anthropic">
```python agent.py
from browser_use import Agent, ChatAnthropic
from dotenv import load_dotenv
import asyncio

load_dotenv()

async def main():
    llm = ChatAnthropic(model='claude-sonnet-4-0', temperature=0.0)
    task = "Find the number 1 post on Show HN"
    agent = Agent(task=task, llm=llm)
    await agent.run()

if __name__ == "__main__":
    asyncio.run(main())
```
</Tab>
</Tabs>