--- title: "Human Quickstart" description: "" icon: "rocket" --- To get started with Browser Use you need to install the package and create an `.env` file with your API key. `ChatBrowserUse` offers the [fastest and most cost-effective models](https://browser-use.com/posts/speed-matters/), completing tasks 3-5x faster. Get started with $10 of [free LLM credits](https://cloud.browser-use.com/new-api-key). ## 1. Installing Browser-Use ```bash create environment pip install uv uv venv --python 3.12 ``` ```bash activate environment source .venv/bin/activate # On Windows use `.venv\Scripts\activate` ``` ```bash install browser-use & chromium uv pip install browser-use uvx browser-use install ``` ## 2. Choose your favorite LLM Create a `.env` file and add your API key. We recommend using ChatBrowserUse which is optimized for browser automation tasks (highest accuracy + fastest speed + lowest token cost). Don't have one? We give you **$10** to try it out [here](https://cloud.browser-use.com/new-api-key). ```bash .env touch .env ``` On Windows, use `echo. > .env` Then add your API key to the file. ```bash Browser Use # add your key to .env file BROWSER_USE_API_KEY= # Get 10$ of free credits at https://cloud.browser-use.com/new-api-key ``` ```bash Google # add your key to .env file GOOGLE_API_KEY= # Get your free Gemini API key from https://aistudio.google.com/app/u/1/apikey?pli=1. ``` ```bash OpenAI # add your key to .env file OPENAI_API_KEY= ``` ```bash Anthropic # add your key to .env file ANTHROPIC_API_KEY= ``` See [Supported Models](/supported-models) for more. ## 3. Run your first agent ```python Browser Use from browser_use import Agent, ChatBrowserUse from dotenv import load_dotenv import asyncio load_dotenv() async def main(): llm = ChatBrowserUse() task = "Find the number 1 post on Show HN" agent = Agent(task=task, llm=llm) await agent.run() if __name__ == "__main__": asyncio.run(main()) ``` ```python Google 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()) ``` ```python OpenAI 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()) ``` ```python Anthropic 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()) ``` Custom browsers can be configured in one line. Check out browsers for more.