Browser4

项目详情摘要

🤖 Browser4 English | 简体中文 | 中国镜像 Table of Contents** 🤖 Browser4 🌟 Introduction ✨ Key Capabilities Quick Start 🧭 Tool Selection Guide How to Interact with a Page How to Extract Data How to Process at Scale How to Turn HTML into Spreadsheets — Zero Tokens 📦 Installation 💡 CLI Guide for Humans Quick start Mental model Global options Key concepts before the command list Complete command reference Timeout environment variables State persistence 🚀 Build from Source Architecture 📦 Modules Overview 🧩 Programming-Agent Kernel (browser4-coding) 🧪 Test Fixture Server (MockSite) 🤝 Support & Community 📜 Documentation 🔧 Proxy Configuration License 🌟 Introduction 💖 **Browser4 — an AI-native browser engine for autonomous agents, intelligent extraction, and large-scale web automation.** 💖 ✨ Key Capabilities 🤖 **Agent Browser** — AI agents and humans drive real browsers via a Rust CLI, MCP, and an agentic backend: navigate, click, fill, snapshot, batch, and loop. 🧬 **Zero-Token Extraction** — X-SQL + CSS selectors for deterministic extraction from live pages or stored HTML snapshots; WebMiner ML clustering turns HTML corpora into spreadsheet and report views with no LLM tokens. 🧠 **Hybrid Intelligence** — Combine LLM extraction, ML clustering, X-SQL, and a progressive experience store that reuses learned selectors and blockers. ⚡ **High-Performance Runtime** — Coroutine-safe, CDP-native engine designed for 100k–200k complex page visits per machine per day via swarm/crawl scale-out. 📦 **Enterprise-Scale Automation** — Swarm crawling, batch/loop jobs, stateful sessions, plugins, runtime skills, browser extension, and MCP-over-HTTP. 🛠️ **Programming-Agent Kernel** — 50+ `coding.*` tools (sandboxed shell/fs, scaffolding, validation, self-development) for agents building Browser4 artifacts —