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Getting Started with Browser Use: Quick Start Guide with Docker

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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())
Browser Use Demo

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.

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