Browser Use is a tool or platform designed to enable AI agents (such as OpenAI's GPT models or other large language models) to interact with and control web browsers in an intelligent and automated way. It essentially bridges the gap between AI capabilities and real-world browser interactions, making it possible for AI systems to perform tasks like navigating websites, extracting data, filling out forms, clicking buttons, and more -- just as a human user would.
The primary goal of Browser Use is to make websites accessible and actionable for AI agents by abstracting away the complexities of browser automation. Instead of requiring developers to write intricate scripts to locate and interact with webpage elements, Browser Use simplifies this process by extracting all interactive elements (like buttons, input fields, links, etc.) and providing a structured interface for AI agents to interact with.
Browser Use leverages AI to understand and interact with web pages. For example, it can analyze the content of a webpage, identify relevant actions (like clicking a button or filling out a form), and execute those actions autonomously.
It combines visual understanding (recognizing elements on the screen) with HTML structure extraction (parsing the underlying code of a webpage). This dual approach ensures that AI agents can interact with both static and dynamic web elements, even if they don't have clear identifiers like IDs or classes.
Browser Use can handle multiple browser tabs simultaneously, allowing AI agents to perform complex workflows that involve interacting with several web pages at once.
The tool tracks the exact actions performed by the AI agent (e.g., clicking a button or filling out a form) and can replicate those actions consistently, even if the website layout changes slightly. This is particularly useful for creating self-healing tests in QA automation.
Users can extend Browser Use by adding custom actions, such as saving data to files, performing database operations, sending notifications, or handling human input during specific steps in the automation process.
Browser Use includes intelligent error handling and automatic recovery mechanisms. If something goes wrong during automation (e.g., a missing element or a network timeout), the tool can detect the issue and attempt to recover automatically, ensuring that workflows continue without interruption.
Browser Use supports various large language models (LLMs), including OpenAI's GPT-4, Anthropic's Claude, and Meta's Llama 2. This flexibility allows users to choose the best AI model for their specific needs.
Browser Use scans a webpage and extracts all interactive elements (buttons, input fields, links, forms, etc.). It then provides a structured representation of these elements that AI agents can understand and interact with.
Once the interactive elements are identified, AI agents can perform actions like clicking buttons, filling out forms, navigating between pages, or extracting data. The AI agent can also analyze the content of the webpage and make decisions based on the information it finds.
Browser Use allows users to create complex automation workflows. For example, an AI agent could navigate through an e-commerce site, add items to a shopping cart, and complete a purchase -- all without human intervention.
If something goes wrong during the automation process (e.g., a missing element or a slow-loading page), Browser Use can detect the issue and attempt to recover automatically. This ensures that workflows continue smoothly, even in unpredictable environments.
Getting started with Browser Use is straightforward, but it requires some initial setup to ensure everything runs smoothly. Below is a detailed installation guide based on the prerequisites and steps you've provided. This guide will walk you through setting up Browser Use locally on your machine.
Before you begin, ensure that your system meets the following requirements:
We recommend using uv for managing the Python environment (recommended for Mac):
Once activated, you should see in your terminal prompt, indicating that the virtual environment is active.
Now that your environment is set up, it's time to install the necessary dependencies.
Install Python packages. Use the following command to install the required Python packages listed in :
Playwright is a browser automation library used by Browser Use.
Once you've completed the installation steps for Browser Use, you can start running the WebUI locally. This guide will walk you through launching the application, customizing its settings, and configuring it to use your own browser if needed.
After completing the installation steps, you can start the Browser Use WebUI by running the following command:
The WebUI provides several options to customize its behavior. Here's a breakdown of the available flags:
Once the WebUI is running, open your web browser and navigate to:
In the screenshot below, you can see we have added the API keys generated with the above link.
In Run agent, let's give the prompt "go to amazon.in and type 'Playwright' click search and give me the first URL."
In the screenshot below, you can see that when we run the prompt, it will open the Chromium browser and interact with the whole DOM of the page.
In the backend, you can see all the logs are executed; whatever agent is performing its log, all logs are in the backend.
In the result tab, you can see the final result, model action, model thoughts, trace file, and agent history.
You can download the video by clicking on the link provided. You can also see the attached video under the Recordings tab. When you run the video, you will see all the steps the agent has performed.
The integration of LLMs, Playwright, and Browser Use represents a new leap in browser automation and AI-driven workflows. Combining these tools will allow you to create intelligent browser agents capable of performing complex tasks with minimal human intervention. From automating repetitive processes to enabling dynamic QA testing and real-time decision-making, the possibilities are endless.
