How to Get Structured Data with OpenClaw
Extract structured data from Wikipedia with OpenClaw and ToolRouter.
Tool
OpenClaw uses Wikipedia as a structured data extraction engine for teams that need reference information at scale. Batch-query entities, compile comparison datasets across dozens of topics, and build knowledge bases from Wikipedia content in a single systematic session. The structured output -- with consistent fields, formatting, and attribution -- is ready for direct import into internal wikis, training materials, application seed data, or research databases without the manual reformatting that ad-hoc lookups require.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the Wikipedia Lookup tool:
- Ask OpenClaw: "Get key data about the European Union from Wikipedia using wikipedia-lookup"
- OpenClaw extracts structured facts and statistics
- Request: "Output this as a structured JSON object"
- Use the data in your application or analysis
Example Prompt
Try this with OpenClaw using the Wikipedia Lookup tool
Extract key statistics about the G7 countries from Wikipedia: population, GDP, currency, and head of state.
Tips
- Specify exactly which fields you need for cleaner, more useful output
- Ask for data in a consistent format when comparing multiple entities
- Use search first to find the correct Wikipedia article title for each entity