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BrowserWing: Tool for AI-Driven Browser Automation

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BrowserWing: Tool for AI-Driven Browser Automation
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Are you tired of slow and inefficient browser automation? Do you want to leverage the power of AI to streamline your tasks? Look no further than BrowserWing. This innovative tool converts browser actions into MCP commands, allowing AI agents to control browsers efficiently and reliably. Say goodbye to slow, token-heavy LLM interactions and hello to faster automation.

In this comprehensive guide, we'll explore what BrowserWing is, its key features, real-world use cases, and how you can get started with it today.

What is BrowserWing?

BrowserWing is a cutting-edge browser automation platform designed to integrate seamlessly with AI agents. Developed by a team of experts in AI and automation, BrowserWing turns your browser actions into MCP commands or Claude Skills, enabling AI agents to control browsers with precision and speed. This tool is perfect for AI-driven tasks, browser automation, and boosting productivity in various domains.

The need for efficient browser automation has never been greater. Traditional methods are often slow and cumbersome, leading to wasted time and resources. BrowserWing addresses these challenges by providing a streamlined, AI-powered solution that optimizes performance and minimizes token consumption.

Key Features

BrowserWing comes packed with an array of powerful features that set it apart from other browser automation tools. Here are some of the standout features:

  • Complete Browser Control: With 26+ HTTP API endpoints, BrowserWing offers full-featured browser automation capabilities.
  • Built-in AI Agent: A direct conversational interface for browser automation tasks, making it easy to control browsers using natural language.
  • Universal AI Tool Integration: Native MCP and Skills protocol support ensures compatibility with any AI tool that supports these standards.
  • Visual Script Recording: Record browser actions, edit them visually, and replay them with precision.
  • Flexible Export Options: Convert recorded scripts to MCP commands or Skills files for integration with AI tools.
  • Intelligent Data Extraction: LLM-powered semantic extraction supports OpenAI, Claude, DeepSeek, and more.
  • Session Management: Robust cookie and storage handling ensures stable, authenticated browsing sessions.

Use Cases

BrowserWing excels in various real-world scenarios where efficient browser automation is crucial. Here are four concrete use cases where BrowserWing shines:

1. Data Extraction

Extracting data from websites can be a time-consuming task. BrowserWing simplifies this process by allowing you to record browser actions and convert them into MCP commands or Skills files. You can then use these scripts to automate data extraction tasks efficiently.

2. RPA (Robotic Process Automation)

RPA involves automating repetitive tasks to improve efficiency and accuracy. BrowserWing can be integrated with RPA tools to automate browser interactions, making it an essential component in any RPA workflow.

3. Testing and Monitoring

Automated testing and monitoring are critical for ensuring the reliability and performance of web applications. BrowserWing can be used to create and execute test scripts, making it easier to identify and fix issues quickly.

4. Agent-Driven Automation

With BrowserWing's built-in AI agent, you can control browsers using natural language commands. This feature is particularly useful for creating agent-driven automation workflows that can be executed with minimal human intervention.

Step-by-Step Installation & Setup Guide

Getting started with BrowserWing is straightforward. Here's a step-by-step guide to help you install and set up BrowserWing:

Option A — Install via Package Manager (recommended)

*Using npm:

npm install -g browserwing
browserwing --port 8080

*Using pnpm:

pnpm add -g browserwing
browserwing --port 8080

The npm package automatically tests GitHub and Gitee mirrors during installation and selects the fastest one.

⚠️ macOS Users: If you encounter a "killed" error when running, fix it with:

xattr -d com.apple.quarantine $(which browserwing)

See the macOS Installation Fix Guide for details.

*Using Homebrew (macOS/Linux):

# Coming soon
brew install browserwing

Option B — One-Line Install Script

*Linux / macOS:

curl -fsSL https://raw.githubusercontent.com/browserwing/browserwing/main/install.sh | bash

*Windows (PowerShell):

iwr -useb https://raw.githubusercontent.com/browserwing/browserwing/main/install.ps1 | iex

The script automatically:

  • Detects your OS/architecture
  • Tests GitHub and Gitee mirrors, selects the fastest one
  • Downloads and extracts the binary
  • Adds to PATH

*Then start BrowserWing:

browserwing --port 8080
# Open http://localhost:8080 in your browser

Note for users in China: The installation script automatically uses Gitee mirror if GitHub is slow.

Option C — Manual Download

Download the prebuilt binary for your OS from Releases:

# Linux/macOS
chmod +x ./browserwing
./browserwing --port 8080

# Windows (PowerShell)
./browserwing.exe --port 8080

Option D — Build from Source

# Install deps (Go + pnpm required)
make install

# Build integrated binary (frontend embedded)
make build-embedded
./build/browserwing --port 8080

# Or build all targets and packages
make build-all
make package

Real Code Examples from the Repository

Let's dive into some real code examples from the BrowserWing repository to see how it works in practice.

Example 1: Starting BrowserWing

browserwing --port 8080

This command starts BrowserWing on port 8080. You can then access the web interface at http://localhost:8080.

Example 2: Exporting Scripts as Skills

curl -X POST 'http://localhost:8080/api/v1/scripts/export/skill' \
  -H 'Content-Type: application/json' \
  -d '{
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