Browser Use
Browser Use is an AI-powered browser automation tool that makes websites accessible for AI agents by providing a powerful yet simple interface for extracting and interacting with web elements.
https://browser-use.com/?ref=aipure
Product Information
Updated:Apr 16, 2025
Browser Use Monthly Traffic Trends
Browser Use achieved 698.965K visits with a 59.0% growth in the latest period. This significant increase is likely driven by the new features and updates introduced in major browsers like Microsoft Edge, which improved user experience and added convenient functionalities such as file sharing from the taskbar. The competitive landscape with enhanced privacy and performance features across browsers might have also attracted more users.
What is Browser Use
Browser Use is a software solution designed to bridge the gap between AI agents and web browsers. It enables AI to control and interact with browsers by making web content accessible and actionable for AI agents. Built with Python and compatible with various LLMs (Language Learning Models) including GPT-4, Claude 3, and Llama 2, Browser Use provides developers and organizations with the tools needed to create automated web interactions. The platform is available in both open-source and commercial versions, offering solutions from individual developers to enterprise-level implementations.
Key Features of Browser Use
Browser Use is a powerful tool that enables AI agents to control and interact with web browsers by extracting interactive elements and combining visual understanding with HTML structure extraction. It offers features like multi-tab management, self-correcting capabilities, and support for various LLMs (including GPT-4, Claude 3, and Llama 2), making websites accessible and automatable for AI agents while maintaining consistent automation workflows.
Vision + HTML Extraction: Integrates visual understanding with HTML structure extraction to provide comprehensive web interaction capabilities for AI agents
Multi-tab Management: Handles multiple browser tabs automatically to support complex workflows and enable parallel processing
Element Tracking & Self-correction: Extracts clicked elements' XPaths and includes intelligent error handling for consistent automation and automatic recovery
Universal LLM Compatibility: Works with all LangChain LLMs including GPT-4, Claude 3, and Llama 2, providing flexibility in AI model selection
Use Cases of Browser Use
Web Automation: Automate complex web interactions and workflows across multiple tabs and websites
AI-Powered Web Testing: Enable AI agents to perform automated testing of web applications and interfaces
Data Collection & Processing: Automate the gathering and processing of web-based information using AI agents
Enterprise Process Automation: Streamline business processes by enabling AI to interact with web-based enterprise applications
Pros
Flexible deployment options (open-source, cloud, and enterprise)
Comprehensive feature set for AI-browser interaction
Strong community support and active development
Compatible with multiple LLM platforms
Cons
Requires technical expertise to implement
May require significant computational resources for complex automation
Premium features require paid subscription
How to Use Browser Use
Installation: Install Browser Use via pip: 'pip install browser-use' or clone from GitHub: 'git clone https://github.com/browser-use/web-ui.git'
Choose Implementation Method: Decide between using the open-source API version (free) or the cloud version (paid, $30/month) at cloud.browser-use.com
Set Up Environment: If using API version, set up your environment variables including your LLM API keys (supports OpenAI, Azure, Anthropic, DeepSeek, Ollama, etc.)
Import Required Libraries: Import necessary modules: 'from langchain_openai import ChatOpenAI from browser_use import Agent import asyncio'
Initialize Agent: Create an agent instance with your desired task and LLM model, e.g.: agent = Agent(task='your_task', llm=ChatOpenAI(model='gpt-4'))
Define Task: Specify the web automation task you want the agent to perform, such as searching, clicking, or extracting information from websites
Run Agent: Execute the agent using the async run method: 'result = await agent.run()'
Handle Results: Process the results returned by the agent, which can include extracted data or confirmation of completed actions
Monitor Performance: Use the built-in error handling and self-correction features to ensure robust automation workflows
Customize (Optional): Add custom actions or modify existing ones to handle specific requirements like saving to files or database operations
Browser Use FAQs
Browser Use is a tool that makes websites accessible for AI agents by extracting interactive elements, allowing AI to control and automate browser interactions. It combines visual understanding with HTML structure extraction for comprehensive web interaction.
Browser Use Video
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Analytics of Browser Use Website
Browser Use Traffic & Rankings
699K
Monthly Visits
#71411
Global Rank
#366
Category Rank
Traffic Trends: Dec 2024-Feb 2025
Browser Use User Insights
00:02:29
Avg. Visit Duration
3.31
Pages Per Visit
45%
User Bounce Rate
Top Regions of Browser Use
US: 20.68%
IN: 14.57%
GB: 7.29%
CN: 5.46%
FR: 4.82%
Others: 47.18%
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