A high-performance search skill that retrieves Google results and extracts full-page readable text for deep context research.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-serper
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-serper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The openclaw-serper skill is a sophisticated tool designed for the Openclaw Skills ecosystem that bridges the gap between simple search snippets and full-text understanding. Unlike standard search tools that only provide titles and descriptions, this skill utilizes the Serper API in conjunction with the trafilatura library to scrape and clean the actual content of the web pages it finds. This allows AI agents to ingest entire articles, documentation, or news stories directly into their context window without requiring additional browsing steps.
By providing a streamlined interface for both evergreen research and time-sensitive news, this skill ensures that developers building with Openclaw Skills can provide their agents with the most accurate and up-to-date information available on the internet. It is engineered for query discipline, encouraging precise interactions that maximize information density while minimizing redundant API usage.
To integrate this search capability into your Openclaw Skills environment, ensure you have Python 3 installed and follow these steps:
# Install the required extraction library
pip install trafilatura
# Set up your Serper API key in the skill directory
echo "SERPER_API_KEY=your_api_key_here" > .env
The skill returns a JSON array where the first object contains query metadata and subsequent objects contain page data.
| Attribute | Description |
|---|---|
| title | The title of the web page or news article. |
| url | The direct link to the source material. |
| source | Categorized as web, news, or knowledge_graph. |
| content | The full-text extracted content (falls back to snippet if extraction is blocked). |
| date | The publication date, primarily for news results. |
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