A local browser service integration that enables AI agents to navigate websites and extract structured content programmatically.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pingagi-web
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 pingagi-web 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 Web Browser Skill?
The Web Browser Skill is a robust integration designed for AI agents that require real-time access to the live web. By leveraging a local browser service, this skill allows agents to transcend their training data limitations and retrieve up-to-date information directly from any URL. It functions as a bridge between the agent and the web, providing a clean interface for automated browsing.
Built to enhance the Openclaw Skills ecosystem, this tool focuses on high-fidelity content extraction. It doesn't just load pages; it parses them into actionable data including titles, body text, and raw HTML, ensuring the agent has the necessary context to perform research, monitor updates, or analyze web-based documentation.
Web Browser Skill Use Cases
- Performing real-time market research by scraping competitor websites.
- Extracting full-text content from blog posts or news articles for summarization.
- Automating the retrieval of documentation from official software websites.
- Capturing visual snapshots of web pages for UI/UX analysis or verification purposes.
- Monitoring web-based dashboards or public data sources for specific updates.
How Web Browser Skill Works
- The AI agent identifies a need for external information and triggers a request to the local browser service via a POST request.
- The browser service initializes a local instance to navigate to the specified target URL.
- The service waits for the page to load and then parses the DOM to extract key elements like the title and text body.
- Optionally, a base64-encoded screenshot is generated to provide visual context.
- The gathered data is packaged into a JSON object and returned to the agent.
- The agent processes the extracted text field to fulfill the user's original request using current web data.
Web Browser Skill Setup
To enable this skill within your Openclaw Skills environment, ensure your local browser service is running on the default port. You can test the integration using the following command:
curl -s -X POST http://127.0.0.1:3088/browse \
-H "Content-Type: application/json" \
-d '{"url":"https://example.com"}'
Web Browser Skill Data Schema & Taxonomy
The skill returns structured data to the agent to ensure high parsing accuracy. The schema includes the following primary fields:
| Field | Type | Description |
|---|---|---|
title |
String | The metadata title of the loaded webpage. |
text |
String | The cleaned, extracted text content from the page body. |
html |
String | Partial or full HTML source for deep structural analysis. |
screenshot |
String | Optional base64-encoded string of the page's visual state. |
Web Browser Skill Advanced Features
- Multi-agent support for concurrent web navigation and data cross-referencing.
- Programmatic screenshot capture for automated visual regression or auditing.
- Localized browser execution to maintain privacy and reduce reliance on third-party SaaS scrapers.
- Seamless integration with existing Openclaw Skills workflows for automated research pipelines.
SKILL.md
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