Google Search (Serper.dev)
VerifiedGoogle Search powered by Serper.dev API — 9 search types: web, news, images, videos, places, shopping, scholar, patents, autocomplete. Returns Knowledge Grap...
$ Add to .claude/skills/ About This Skill
# Google Search Skill
Google Search powered by Serper.dev API. Replaces Brave Search with richer results including Knowledge Graph, Answer Box, People Also Ask, and specialized search types.
When to Use Use this skill for any Google search request. Auto-detect intent: - Default → `search` - "news about X" / "latest X" → `news` - "images of X" / "pictures of X" → `images` - "videos of X" / "how to X video" → `videos` - "restaurants near X" / "X near me" → `places` - "how much does X cost" / "buy X" → `shopping` (⚠️ 2 credits — only when explicitly requested) - "papers on X" / "research about X" → `scholar` - "patents for X" → `patents` - "suggestions for X" → `suggest`
Usage
```bash SCRIPT_DIR="~/.openclaw/workspace/skills/google-search/scripts"
# Web search (default) npx tsx $SCRIPT_DIR/google-search.ts search "query" [--num 10] [--time day|week|month|year] [--country us] [--lang en]
# Specialized npx tsx $SCRIPT_DIR/google-search.ts news "query" [--num 10] npx tsx $SCRIPT_DIR/google-search.ts images "query" npx tsx $SCRIPT_DIR/google-search.ts videos "query" npx tsx $SCRIPT_DIR/google-search.ts places "query" npx tsx $SCRIPT_DIR/google-search.ts shopping "query" npx tsx $SCRIPT_DIR/google-search.ts scholar "query" [--year 2023] npx tsx $SCRIPT_DIR/google-search.ts patents "query" npx tsx $SCRIPT_DIR/google-search.ts suggest "query" npx tsx $SCRIPT_DIR/google-search.ts credits ```
Add `--json` to any command for raw JSON output.
Setup Requires a free API key from Serper.dev: 1. Sign up at https://serper.dev (2,500 free searches included) 2. Copy your API key from the dashboard 3. Add to your environment: `export SERPER_API_KEY=your_key_here`
If the key is missing, remind the user to sign up at serper.dev — it's free and takes 30 seconds.
Workflow 1. Run the appropriate search command 2. Parse the formatted output 3. If deeper content is needed, use `web_fetch` on promising links 4. Credit balance is shown in every response — monitor usage 5. Shopping costs 2 credits — only use when user explicitly asks for prices/shopping
Time Filters `--time` accepts: `hour`, `day`, `week`, `month`, `year` (or `h`, `d`, `w`, `m`, `y`)
Notes - Rate limit: 5 req/sec on free tier - All searches cost 1 credit except shopping (2 credits) - Results include rich data: Knowledge Graph, Answer Box, People Also Ask, Related Searches
Use Cases
- Perform web searches via the Serper API for real-time information retrieval
- Integrate structured search results into AI agent workflows
- Retrieve search snippets, URLs, and metadata for data-driven decisions
- Build research automation pipelines with web search as a data source
- Augment AI responses with current web information and source references
Pros & Cons
Pros
- +Compatible with multiple platforms including claude-code, openclaw
- +Well-documented with detailed usage instructions and examples
- +Purpose-built for file & media tasks with focused functionality
Cons
- -No built-in analytics or usage metrics dashboard
- -Configuration may require familiarity with file & media concepts
FAQ
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