A specialized tool for performing targeted Google searches and fetching real-time web content directly into your AI agent workflow.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install webfetch-google
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 webfetch-google 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 Webfetch Google?
The Webfetch Google skill provides a direct interface for AI agents to interact with live search engines. By integrating this capability, Openclaw Skills can transcend static training data and access up-to-the-minute information from across the web. This tool is essential for agents that need to provide accurate, current answers or perform deep research tasks using Google search results.
This skill is built to be modular, allowing the agent to execute specific search queries and ingest the findings as context. Whether you are building a research assistant or a technical support bot, adding this to your library of Openclaw Skills significantly increases the reliability and depth of the agent's output.
Webfetch Google Use Cases
- Fetching the latest software documentation or API updates from the web.
- Performing real-time market research and competitor tracking.
- Validating facts and information against current news events.
- Gathering specific data points from search results to inform other Openclaw Skills.
How Webfetch Google Works
- The AI agent receives a user query that requires external information.
- The agent triggers the Webfetch Google skill using the provided query string.
- The skill runs the internal scripts/web_search.py script to interface with the search engine.
- Search results are filtered and parsed to extract the most relevant content.
- The fetched data is fed back into the agent's context for final response generation.
Webfetch Google Setup
To integrate this into your environment, follow these steps:
# Navigate to your project directory
cd my-agent-project/skills/webfetch-google
# Install the necessary search dependencies
pip install -r requirements.txt
# Test the search script manually
python scripts/web_search.py --query "Openclaw Skills"
Webfetch Google Data Schema & Taxonomy
| Component | Description | Format |
|---|---|---|
| scripts/ | Contains the core web_search.py logic | Python (.py) |
| references/ | Documentation for search patterns and API limits | Markdown (.md) |
| assets/ | Templates for formatting search result outputs | Various |
| output/ | Directory for temporary search result data | JSON/TXT |
Webfetch Google Advanced Features
- Multi-query support for broad research across multiple topics.
- Automatic content cleaning to strip HTML tags and focus on text data.
- Integration hooks to pass search data directly to other Openclaw Skills.
- Custom filtering options to prioritize specific domains or file types.
SKILL.md
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