A high-performance Rust-based browser automation engine designed for lightning-fast DOM extraction and efficient AI agent interactions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fast-browser-use
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install fast-browser-use using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Fastest Browser Use?
Fastest Browser Use is a specialized automation engine within the Openclaw Skills ecosystem, built with Rust to provide a lightweight and incredibly fast interface for driving Chrome via the Chrome DevTools Protocol (CDP). It is engineered to overcome the latency and heavy resource consumption of traditional Node.js frameworks like Puppeteer, offering startup times under 50ms and a minimal 15MB memory footprint.
This skill is essential for developers building AI-driven workflows that require deep interaction with dynamic web content. It provides robust capabilities for token-efficient DOM extraction, human emulation to bypass bot detection, and advanced session management. By using Fastest Browser Use, agents can navigate complex web architectures, capture structured data, and maintain authenticated states with superior performance and reliability.
Fastest Browser Use Use Cases
- Bypassing bot detection through human emulation features like mouse jitter and randomized delays.
- Capturing Deep Freeze snapshots that include both DOM state and computed styles for accurate page reconstruction.
- Managing persistent sessions by logging in once and reusing authentication cookies for headless automation.
- Harvesting large datasets from infinite-scroll platforms like social media feeds or search results.
- Analyzing site architecture and SEO health through automated sitemap parsing and semantic structure discovery.
How Fastest Browser Use Works
- The tool initializes a browser session by connecting directly to the local Chrome binary specified in the environment configuration.
- Commands are issued through a Rust-powered CLI, which communicates with Chrome using the low-latency Chrome DevTools Protocol.
- The engine performs high-speed, zero-copy DOM extraction to convert page content into formats optimized for AI processing.
- Advanced interaction logic handles complex tasks such as scrolling, clicking, and waiting for specific selectors or network conditions.
- Upon completion, the skill can save session state (cookies/local storage) or output structured data (JSON/Markdown) before terminating the process.
Fastest Browser Use Setup
To integrate this tool into your Openclaw Skills setup, follow these installation steps:
Install via Homebrew (macOS):
brew install rknoche6/tap/fast-browser-use
Install via Cargo (Rust):
cargo install fast-browser-use
Configure the required environment variables:
# Example for macOS
export CHROME_PATH="/Applications/Google Chrome.app/Contents/MacOS/Google Chrome"
export BROWSER_HEADLESS="true"
Fastest Browser Use Data Schema & Taxonomy
Fastest Browser Use organizes its output to be highly readable for both humans and AI models within the Openclaw Skills framework:
| Data Type | Output Format | Description |
|---|---|---|
| Session Persistence | JSON | Stores cookies and local storage keys for authenticated sessions. |
| DOM Snapshot | YAML/Markdown | A streamlined representation of the page, optimized for LLM token limits. |
| Site Structure | JSON | Detailed breakdown of headings, navigation links, and meta data. |
| Harvested Lists | JSON Array | Flat list of strings or objects extracted via CSS selectors. |
| Visual Output | PNG | Full-page or viewport screenshots, including vision-mapped interactive elements. |
Fastest Browser Use Advanced Features
- Vision Mapping: Overlays numbered bounding boxes on interactive elements to assist AI vision models in navigation.
- Human Emulation: Provides realistic mouse movements and interaction timing to navigate protected websites.
- Infinite Scroll Harvester: Automates the process of scrolling and waiting to collect data from dynamically loading feeds.
- Deep Freeze Snapshots: Captures the full visual and structural state of a page, including computed CSS styles.
- Multi-tab Management: Enables agents to open, list, and switch between multiple browser contexts simultaneously.
SKILL.md
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