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Browser Use tutorial: automate a web task with a Python AI agent

Give an Agent a task in plain English and an LLM, and let it browse to complete it.

Credentials. Your LLM API key is read from .env and billed per step.

Who it is forA developer who wants to automate a repetitive lookup on a website.

The problemHand-written scrapers break when sites change.

The outcomeThe task's final result returned from the agent's run.

What you need first

  • Python 3.12 with uv
  • An LLM API key such as OpenAI, or a Browser Use key

Steps

  1. Install with uv add browser-use
  2. Put OPENAI_API_KEY in .env
  3. Create an Agent with a task and ChatOpenAI
  4. Run it and print history.final_result()

Prompt for your agent

Using browser-use/browser-use, run an Agent with the task <task> and print the final result. Confirm the result matches what the site shows.

Caveat. Use non-sensitive sites first; agents act with whatever access the browser has.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for browser-use/browser-use and "Automate a web task with a Python browser agent"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

Cursor, ChatGPT, others

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