A powerful search integration for AI agents to fetch real-time web results across multiple engines via SerpAPI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install web-search-with-serpapi
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 web-search-with-serpapi 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 SerpAPI Search?
The SerpAPI Search skill provides AI agents with a robust interface to interact with the world's most popular search engines. By integrating this capability into Openclaw Skills, developers can empower their agents to fetch real-time data, perform deep market research, and retrieve specific information from sources like Google Maps or YouTube.
This skill abstracts the complexity of raw API calls, offering a streamlined way to toggle between traditional search results and specialized modes like Google AI Mode. It is an essential tool for any workflow requiring fresh, external data beyond the initial training set of a language model, ensuring that Openclaw Skills remain grounded in current facts.
SerpAPI Search Use Cases
- Performing real-time market research and financial analysis.
- Retrieving the latest news and technology updates for content generation.
- Searching for specific locations or business data using the Google Maps engine.
- Gathering visual references and assets via the Google Images search mode.
- Researching video content and transcripts through the YouTube engine within Openclaw Skills.
How SerpAPI Search Works
- The user or parent agent provides a specific search query and selects a target engine like Google or Bing.
- The Openclaw Skills runner initializes the Python environment and validates the SerpAPI credentials.
- The skill sends a request to SerpAPI, which processes the query against the selected engine.
- Raw search data is parsed and formatted into concise text blocks for easier consumption.
- The structured results are returned to the calling agent for reasoning or further action.
SerpAPI Search Setup
To integrate this into your environment, follow these steps:
- Install the necessary Python dependency:
pip install serpapi
- Configure your API key by setting the
SERPAPI_API_KEYenvironment variable for security, or modify theserpapi_search.pyfile directly. - Ensure your agent has access to the entrypoint defined in the Openclaw Skills metadata for seamless execution.
SerpAPI Search Data Schema & Taxonomy
The skill returns data in a structured format derived from the SerpAPI response.
| Field | Description |
|---|---|
| Query | The original search term used. |
| Engine | The specific search provider (e.g., google_ai_mode). |
| Results | An array of text blocks containing titles, snippets, and links. |
| Metadata | API usage stats and request timestamps. |
SerpAPI Search Advanced Features
- Supports Google AI Mode for more synthesized, agent-friendly results.
- Flexible engine selection allows for specialized searches like maps, images, or video.
- Environment variable support ensures secure API key management within Openclaw Skills.
- Lightweight Python implementation makes it easy to extend for custom search parameters or filtering.
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