Watch Browser-Use tackle real-world tasks:

• 🤖 Universal LLM Support - Works with any Language Model
• 🎯 Smart Element Detection - Automatically finds interactive elements
• 📑 Multi-Tab Management - Seamless handling of browser tabs
• 🔍 XPath Extraction - No more manual DevTools inspection
• 👁️ Vision Model Support - Process visual page information
• 🛠️ Customizable Actions - Add your own browser interactions

Create a virtual environment and install the dependencies:

# I recommend using uv pip install -r requirements.txt

Add your API keys to the .env file.

cp .env.example .env

You can use any LLM model that is supported by LangChain by adding correct environment variables. Head over to the langchain models page to see all available models.

fromsrcimportAgentfromlangchain_openaiimportChatOpenAI# Initialize browser agentagent=Agent( task='Find cheapest flight from London to Kyrgyzstan and return the url.', llm=ChatOpenAI(model='gpt-4o'), ) # Let it work its magicawaitagent.run()

You can persist the browser across multiple agents and chain them together.

fromlangchain_anthropicimportChatAnthropicfromsrcimportAgent, Controller# Persist the browser state across agentscontroller=Controller() # Initialize browser agentagent1=Agent( task='Open 5 VCs websites in the New York area.', llm=ChatAnthropic(model_name='claude-3-sonnet', timeout=25, stop=None, temperature=0.3), controller=controller, ) agent2=Agent( task='Give me the names of the founders of the companies in all tabs.', llm=ChatAnthropic(model_name='claude-3-sonnet', timeout=25, stop=None, temperature=0.3), controller=controller, ) # Let it work its magicawaitagent1.run() founders, history=awaitagent2.run() print(founders)

You can use the history to run the agents again deterministically.

You can run any of the examples using the command line interface:

python examples/try.py "Your query here" --provider [openai|anthropic]

You need to add ANTHROPIC_API_KEY to your environment variables. Example usage:

python examples/try.py "Find cheapest flight from London to Paris" --provider anthropic

You need to add OPENAI_API_KEY to your environment variables. Example usage:

python examples/try.py "Search for top AI companies" --provider openai

All LangChain chat models are supported.

• GPT-4o
• GPT-4o Mini
• Claude 3.5 Sonnet
• LLama 3.1 405B

Contributions are welcome! Also feel free to open issues for any bugs or feature requests.

• Save agent actions and execute them deterministically (for QA testing etc)
• Pydantic forced output
• Third party SERP API for faster Google Search results