Getting Started with Browser Use: Quick Start Guide with Docker
Getting Started with Browser Use: Quick Start Guide with Docker
Browser Use makes it incredibly easy to give AI agents the power to control web browsers. This guide will walk you through setting up Browser Use on your own infrastructure using Docker, then running your first automation task in minutes.
Prerequisites
Before you begin, make sure you have Docker installed on your system. Browser Use runs as a Docker container and requires at least 1 CPU core and 1 GB of RAM (2 cores and 4 GB recommended for complex workflows).
Installation with Docker
The fastest way to get started is by pulling the official Docker image:
docker pull browseruse/browser-use:latest
Run the container:
docker run -d \
--name browser-use \
-p 8080:8080 \
-v ./data/browser-use:/data \
browseruse/browser-use:latest
Using the Python SDK
For programmatic access, install the Python SDK:
pip install browser-use-sdk
Then write your first automation script:
import asyncio
from browser_use import Agent
async def main():
agent = Agent(
task="Go to Hacker News, find the top 5 stories"
)
result = await agent.run()
print(result)
asyncio.run(main())
What You Can Automate
- Data Extraction: Scrape product listings, prices, reviews, and specs from any e-commerce site
- Form Automation: Fill out multi-page forms, submit applications, and handle confirmation flows
- Login Workflows: Authenticate into web apps, navigate dashboards, and extract data behind login walls
- Monitoring: Check website status, detect changes, and alert on specific conditions
- Content Aggregation: Collect news articles, blog posts, and social media content for analysis
Docker Compose for Production
version: '3'
services:
browser-use:
image: browseruse/browser-use:latest
restart: unless-stopped
ports:
- "8080:8080"
volumes:
- ./data/browser-use:/data
Conclusion
Browser Use makes web automation accessible to anyone building AI agents. With Docker support, a clean Python SDK, and a thriving community of 100K+ developers, it is the most powerful open-source tool for connecting AI to the web. Deploy it today and watch your agents browse, click, and extract data just like a human — but at machine speed.