A comprehensive search skill for Openclaw Skills that enables AI agents to retrieve structured web, news, image, and map data via the AceDataCloud API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install acedatacloud-google-search
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 acedatacloud-google-search 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 Google Search (SERP)?
The Google Search skill for Openclaw Skills provides a sophisticated interface to the AceDataCloud Google SERP API, allowing AI agents to bridge the gap between static training data and the live web. By providing access to organic search results, knowledge graphs, and rich snippets, this skill empowers developers to build agents that are aware of current events, technical documentation, and localized information.
Built for high performance and reliability, this integration supports various search types including traditional web queries, news headlines, and local business data. It is an essential component for any Openclaw Skills setup that requires real-time information retrieval to improve the accuracy and relevance of AI-generated responses.
Google Search (SERP) Use Cases
- Performing real-time research on emerging technologies or recent software releases.
- Sourcing relevant news articles and headlines for automated content curation.
- Extracting local business details such as ratings, reviews, and coordinates for location-based services.
- Gathering image and video metadata for multi-modal data processing tasks.
How Google Search (SERP) Works
- The AI agent identifies a need for external information and triggers the search tool with specific parameters.
- The request is routed through the AceDataCloud API, authenticated via a secure token.
- The skill applies optional filters like country, language, and time range to ensure result relevancy.
- AceDataCloud returns a structured JSON payload containing categorized data like organic results and knowledge panels.
- The agent interprets the structured response to synthesize a final answer or execute a follow-up action within the Openclaw Skills framework.
Google Search (SERP) Setup
To get started with this skill for Openclaw Skills, you must configure your authentication token in your environment:
export ACEDATACLOUD_API_TOKEN="your-token-here"
For users integrating via the Model Context Protocol (MCP), install the necessary package:
pip install mcp-serp
Alternatively, use the hosted MCP endpoint at https://serp.mcp.acedata.cloud/mcp to connect your agent directly.
Google Search (SERP) Data Schema & Taxonomy
The skill returns highly structured data to ensure the agent can easily parse information. The data is organized into several key components:
| Component | Description |
|---|---|
| organic_results | The primary list of web results containing titles, links, and text snippets. |
| knowledge_graph | Structured entity data providing quick facts about people, places, or things. |
| search_metadata | Details about the search execution, including timing and status. |
| related_searches | A list of suggested queries to help the agent refine its research path. |
| rich_results | Specialized data for images, news, and maps depending on the search_type parameter. |
Google Search (SERP) Advanced Features
- Multi-type support allowing transitions between web, image, news, maps, and video searches within a single session.
- Granular time filtering (qdr) to restrict results to the past hour, day, week, month, or year.
- Geographic and linguistic localization using standard country and language codes for global application support.
- Deep pagination control through the number and page parameters for exhaustive data gathering.
- Integration with MCP for seamless tool-calling within modern AI coding environments and Openclaw Skills workflows.
SKILL.md
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