AI-controlled browser: browser-use - A comprehensive introduction

Written by
Silas Grey
Updated on:June-24th-2025
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How does AI technology revolutionize browser automation interaction? The browser-use project brings a new solution.

Core content:
1. Overview of the browser-use project and its YCombinator support background
2. Introduction to the core functions of browser-use, including visual + HTML extraction, multi-tab management, etc.
3. Project application scenarios, community support and future development prospects

Yang Fangxian
Founder of 53A/Most Valuable Expert of Tencent Cloud (TVP)


Project Overview

browser-use is a tool designed for AI agents. It aims to enable AI to autonomously perform web page operations, such as clicking buttons, filling out forms, or navigating pages, by extracting interactive elements of websites (such as buttons, forms, and links). The project not only provides a bridge for AI to access the Internet, but also provides powerful automation solutions for developers and enterprises. The core goal of browser-use is to enable AI agents to focus on the core value of the task, such as optimizing the user experience, without having to deal with complex web page interaction logic.

The project is supported by YCombinator and recently completed a $17 million seed round of financing. It is actively recruiting, showing strong momentum. Its  official website [1]  and  GitHub repository [2]  provide detailed documentation and resources to help users get started quickly.

Core Features

The functional design of browser-use fully considers the needs of AI agents in the web environment. The following are its main features:

Functiondescribe
Visual + HTML Extraction
Combine computer vision and HTML structure extraction to fully understand web page content and layout.
Multi-label management
Supports processing multiple browser tabs simultaneously, suitable for complex workflows and parallel processing.
Element Tracking
Extract the XPath of the clicked element and repeat the LLM operation to ensure automation consistency.
Custom Actions
Supports user-defined actions, such as saving files, database operations, notifications, or manual input.
Self-correcting mechanism
Intelligent error handling and automatic recovery ensure the robustness of automated processes.
Wide LLM compatibility
Supports multiple LLMs such as GPT-4, Claude 3, Llama 2, etc. through LangChain.
  1. Vision + HTML Extraction

  • By combining computer vision algorithms and HTML structure parsing, browser-use enables AI agents to accurately understand the visual and structural information of web pages. This approach goes beyond traditional web crawling techniques and can handle dynamic content and complex layouts.

  • Multi-tab Management

    • Supports operating multiple browser tabs simultaneously, which is suitable for tasks that require parallel processing. For example, AI can search for information, compare data, or execute multi-step workflows in different tabs at the same time.

  • Element Tracking

    • By recording the XPath of interactive elements, browser-use ensures repeatability of AI actions. This is especially important for automated tasks that require consistent execution, such as repeatedly filling out a form or clicking a specific button.

  • Custom Actions

    • Users can extend the functionality of browser-use and add custom actions, such as saving data to files, performing database operations, sending notifications, or introducing human intervention. This flexibility makes it suitable for a variety of specific scenarios.

  • Self-correcting

    • With intelligent error handling and automatic recovery, browser-use continues to run even when the page structure changes or unexpected errors occur, reducing the need for manual intervention.

  • Any LLM Support

    • Through the LangChain framework, browser-use supports a variety of large language models, including GPT-4, Claude 3, Llama 2, etc. This compatibility allows developers to choose the appropriate AI model according to task requirements.

    In addition, browser-use also provides a Gradio-based  Web UI [3] that supports most core functions and provides a user-friendly interface. The interface supports custom browsers and persistent browser sessions, making it easier for users to maintain state between different tasks.

    Technical Architecture

    The technical architecture of browser-use combines multiple advanced technologies to achieve efficient web page interaction:

    • Vision and HTML Extraction : Computer vision algorithms are used to parse the visual content of web pages, while HTML parsing techniques are combined to extract structured data. This dual approach ensures AI’s comprehensive understanding of web pages.

    • Multi-tab management : Through browser automation technology (such as Playwright or similar frameworks), browser-use can manage multiple tabs at the same time and support parallel task execution.

    • Element tracking : By recording the XPaths of interactive elements, the system is able to repeat operations accurately even if the web page content changes slightly.

    • Self-correction mechanism : With intelligent error detection and recovery algorithms, browser-use can automatically adjust its strategy when encountering problems, such as reloading the page or choosing an alternative path.

    • LLM Integration : Through the LangChain framework, browser-use integrates seamlessly with a variety of LLMs, supporting a wide range of choices from open source models to commercial models.

    In addition, browser-use allows users to use their own browser, eliminating the hassle of repeated logins or authentication. It also supports high-definition screen recording and persistent browser sessions, allowing users to view the complete history of AI interactions.

    Application Scenario

    The flexibility and power of browser-use make it suitable for a variety of scenarios. Here are some typical application cases:

    Scenariodescribe
    Automated Network Research
    AI agents browse web pages, extract information, and generate reports without human intervention.
    E-commerce Automation
    Automatically search for products, compare prices, and complete purchases to optimize the shopping process.
    Social Media Management
    Automatically publish content, interact with users, collect data, and improve social media efficiency.
    Form filling and data entry
    Automate repetitive tasks such as filling out forms with predefined data.
    Testing and Quality Assurance (QA)
    Simulate user interactions and test the functionality of your web application in different scenarios.

    For example, browser-use can process tasks in parallel, such as searching for contact information for 100 companies at the same time, and aggregate the results to the master agent for further processing. This parallelization capability significantly improves efficiency, surpassing traditional manual operations.

    COMMUNITY & SUPPORT

    browser-use has a fast-growing community where users can   share ideas, ask questions, and collaborate via Discord [4] . The official X account ( @gregpr07 [5] ) regularly posts updates and announcements. In addition, the GitHub repository provides an  awesome-prompts [6]  repository containing prompt inspiration to help users get started quickly.

    Users can also submit issues or feature requests through GitHub and contribute to the documentation (located in the /docs folder). The open source nature of the project encourages community collaboration and developers can easily participate in improvements.

    Pricing Plans

    browser-use offers a variety of pricing plans to meet the needs of different users:

    planpriceTarget Users
    Standard
    free
    Suitable for individual developers for custom API integration and automation.
    Pro
    $30/month
    Team-oriented