A sophisticated web automation skill that enables AI agents to control real browsers for deep data extraction and network response hooking.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install playwright-browser
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 playwright-browser 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 Playwright Browser?
The Playwright Browser skill is a high-performance integration designed for Openclaw Skills that allows AI agents to interact with the web through a non-headless Chromium instance. Unlike traditional static scrapers, this skill excels at handling Modern Single Page Applications (SPAs) and JavaScript-heavy environments by rendering the full DOM.
By leveraging the power of Playwright, the skill provides agents with the ability to navigate complex interfaces, click links, and search page content in real-time. A standout feature of this Openclaw Skills component is its ability to hook into network responses, allowing developers to capture XHR and Fetch API calls directly from the browser stream for precise data harvesting.
Playwright Browser Use Cases
- Navigating and extracting content from complex Single Page Applications (SPAs).
- Monitoring and capturing real-time API responses (XHR/Fetch) from web applications.
- Automating web research by searching for specific keywords across multiple pages.
- Interaction-heavy tasks such as finding and clicking specific elements or links.
- High-fidelity web scraping where full JavaScript execution is required for data visibility.
How Playwright Browser Works
- The AI agent initializes a SyncBrowserAgent instance, launching a real, non-headless Chromium browser.
- The agent navigates to a target URL, performing validation to ensure safety and compliance.
- While the page loads, the skill can optionally hook into the network layer to monitor background data transfers.
- The agent interacts with the rendered DOM to extract text, find specific links, or perform keyword searches.
- Captured data and API responses are returned to the agent for further processing or storage.
- The browser session is terminated to ensure system resources are freed.
Playwright Browser Setup
To integrate this capability into your Openclaw Skills environment, ensure Playwright is installed and the Chromium binaries are available:
pip install playwright
playwright install chromium
Playwright Browser Data Schema & Taxonomy
The Playwright Browser skill organizes extracted information into structured dictionaries for easy consumption by AI models:
| Data Type | Description | Key Fields |
|---|---|---|
| Page Content | Rendered DOM data | title, url, content |
| Link Data | Extracted hyperlink metadata | text, href |
| Search Result | Keyword match information | text, element_handle |
| Network Hook | Captured API response metadata | url, resource_type, status |
Playwright Browser Advanced Features
- Real-time Network Hooking: Monitor and capture specific API calls (XHR/Fetch) as they happen during browsing.
- Interactive Element Focus: Direct the browser to focus on specific UI elements for visual confirmation or further interaction.
- Custom Network Listeners: Define custom callback functions to handle specific types of network traffic dynamically.
- Non-Headless Automation: Operates in a visible browser window, allowing for better debugging and bypass of basic bot detection.
SKILL.md
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