Agent Browser

What This Skill Does

The Agent Browser skill for OpenClaw provides a high-performance, Rust-based headless browser automation interface designed specifically for AI agents. It allows agents to perform complex web interactions—such as navigating, clicking, typing, and extracting data—using structured references derived from the DOM. By leveraging a lightweight headless engine with a Node.js fallback, it ensures stability and speed, making it an essential tool for agents tasked with browsing the web, performing research, or automating repetitive tasks on modern websites.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/asterisk622/xiaoding-agent-browser Ensure you have the necessary system dependencies (like browser engines) installed by running agent-browser install --with-deps after the initial setup.

Use Cases

1. Automated Web Research: Efficiently extract specific data points or text from search results or news aggregation sites.
2. Form Automation: Automatically navigate to registration or login pages, fill out multi-step forms, and submit them without human intervention.
3. Content Monitoring: Periodically check specific websites for updates, such as pricing changes, inventory availability, or new blog posts, using snapshotting to detect visual or structural changes.
4. Dynamic Data Scraping: Interact with JavaScript-heavy applications by using the snapshot command to obtain active, interactive element references that are easy for agents to navigate.

Example Prompts

1. "Open https://example.com/login, fill in the username and password fields using the elements marked in the snapshot, and click the login button."
2. "Go to the product page, scroll down to the reviews section, and get the text of the first three review elements."
3. "Search for the latest stock market trends, snapshot the page to find the results list, and tell me the total number of items found."

Tips & Limitations

• Interactive Snapshots: Always use snapshot -i for AI agents. This narrows the scope to essential elements, reducing noise and drastically improving the agent's accuracy when selecting targets.
• Ref Management: References like @e1 are ephemeral. If the page reloads or a navigation event occurs, you must trigger a new snapshot to update the element references.
• Rate Limiting: When automating, be mindful of target website terms of service and rate limits to avoid getting blocked.
• Visibility: If an element is not clickable, try the scrollintoview command before attempting to click to ensure it is in the viewport.