interactive-browser-use

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interactive-browser-use is an open-source AI Agent framework that integrates large language models with browser automation tools like Playwright. It enables automated navigation, content extraction, form filling, and interactive browsing via natural language prompts. Developers can customize sequences of browsing actions, automate data collection tasks, test web workflows, and perform dynamic content queries, all through simple integration with LLM APIs.
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May 07 2025
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interactive-browser-use

interactive-browser-use

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0
interactive-browser-use
interactive-browser-use is an open-source AI Agent framework that integrates large language models with browser automation tools like Playwright. It enables automated navigation, content extraction, form filling, and interactive browsing via natural language prompts. Developers can customize sequences of browsing actions, automate data collection tasks, test web workflows, and perform dynamic content queries, all through simple integration with LLM APIs.
Added on:
Social & Email:
Platform:
May 07 2025
--
Featured

What is interactive-browser-use?

interactive-browser-use is a Python/JavaScript library that connects large language models (LLMs) with browser automation frameworks like Playwright or Puppeteer, allowing AI Agents to perform real-time web interactions. By defining prompts, users can instruct the agent to navigate web pages, click buttons, fill forms, extract tables, and scroll through dynamic content. The library manages browser sessions, context, and action execution, translating LLM responses into usable automation steps. It simplifies tasks like live web scraping, automated testing, and web-based Q&A by providing a programmable interface for AI-driven browsing, reducing manual effort while enabling complex multi-step web workflows.

Who will use interactive-browser-use?

  • AI developers
  • Data engineers
  • Automation QA testers
  • Research engineers

How to use the interactive-browser-use?

  • Step1: Clone the repository from GitHub
  • Step2: Install dependencies (pip install or npm install)
  • Step3: Configure your LLM API keys and browser drivers
  • Step4: Run the example script to launch the interactive browser
  • Step5: Customize prompts and action handlers for your tasks

Platform

  • mac
  • windows
  • linux

interactive-browser-use's Core Features & Benefits

The Core Features

  • LLM-driven browser automation
  • Website navigation and control
  • Content scraping and data extraction
  • Form filling and interactive actions
  • Customizable action prompts

The Benefits

  • Accelerates web data collection
  • Enables dynamic content access
  • Reduces manual browsing tasks
  • Highly customizable and extensible
  • Seamless integration with LLMs

interactive-browser-use's Main Use Cases & Applications

  • Real-time web scraping with AI
  • Automated end-to-end web testing
  • Dynamic content Q&A on live sites
  • Form automation and data entry

FAQs of interactive-browser-use

interactive-browser-use Company Information

interactive-browser-use Reviews

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interactive-browser-use's Main Competitors and alternatives?

  • LangChain Agents
  • Agentic Playground
  • AutoGen
  • AgentGPT

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