Tutorial: How to Use Browser Use WebUI for AI-Powered Browser Automation
Step-by-step tutorial for deploying and using Browser Use WebUI. Learn how to run AI agents, configure LLMs, and automate browser tasks with this open-source web interface.
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Docker configs, system requirements, and installation guides — all on one page.
View Browser Use WebUI Tool Page →Step-by-Step: Running an AI Agent with Browser Use WebUI
In this tutorial, we'll walk through deploying Browser Use WebUI and running your first AI-powered browser agent. The setup takes just minutes thanks to Docker support.
Step 1: Deploy with Docker
The easiest way to get started is with Docker. Browser Use WebUI uses the image nykw2002/browser-use-webui:latest:
Once the container is running, open http://localhost:8080 in your browser. You should see the Browser Use WebUI dashboard.
Step 2: Configure Your AI Model
Browser Use WebUI supports multiple LLM providers. In the settings panel:
- Navigate to the Settings tab
- Select your preferred LLM provider (OpenAI, Anthropic, or local models via Ollama)
- Enter your API key (if using a cloud provider)
- Save the configuration
💡 Pro Tip: For privacy-sensitive tasks, you can use local models via Ollama. The web-ui works with any OpenAI-compatible API endpoint, making it easy to run everything locally.
Step 3: Create Your First Agent Task
Now let's create a simple automation task. Click "New Task" and enter a prompt like:
The agent will open a browser, navigate to the site, read the content, and return a structured summary. You can watch the agent's actions in real time through the built-in browser viewport.
Step 4: Advanced Usage
For more complex workflows, try these patterns:
| 🔄 Multi-Step Forms | Automate complex form submissions with conditional logic |
| 📊 Data Extraction | Scrape structured data from multiple pages |
| 🔍 Visual Monitoring | Schedule agents to check pages and alert on changes |
🚀 Start Automating Today
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