Tools / Wikipedia Lookup / Use Cases / Get Structured Data

Get Structured Data

Extract structured facts, statistics, and data points from Wikipedia articles for use in applications and content.

Tool
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Wikipedia Lookup

Wikipedia articles contain enormous amounts of structured data -- population figures, founding dates, geographic coordinates, financial metrics, biographical details, and technical specifications. This data is often more accessible and reliable than trying to scrape it from dozens of individual sources.

ToolRouter's get_summary skill extracts the most important facts concisely, while get_full_article gives you access to the complete structured data including infoboxes, tables, and detailed statistics. You can pull specific data points, compile comparative datasets, or enrich your existing data with Wikipedia-sourced facts.

This workflow is essential for developers building applications that need reference data, data analysts enriching datasets with contextual information, content creators needing accurate statistics, and anyone who needs structured facts about entities (companies, cities, people, technologies) in a machine-readable format.

Agent Guides

Claude

  1. Connect ToolRouter: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask Claude: "Get the Wikipedia summary for Tokyo and extract key statistics using wikipedia-lookup"
  3. Claude returns population, area, GDP, and other structured data points
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ChatGPT

  1. Configure ToolRouter in ChatGPT
  2. Ask: "Get structured data about Apple Inc. from Wikipedia using wikipedia-lookup"
  3. ChatGPT extracts founding date, headquarters, revenue, employees, and other facts
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Copilot

  1. Add ToolRouter to Copilot MCP config
  2. In Copilot Chat: "Get structured data about Python programming language from Wikipedia using wikipedia-lookup"
  3. Copilot extracts key facts: release date, creator, latest version, paradigm
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OpenClaw

  1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask OpenClaw: "Get key data about the European Union from Wikipedia using wikipedia-lookup"
  3. OpenClaw extracts structured facts and statistics
Read full guide →

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Get comprehensive background information on any topic using Wikipedia summaries and full articles.

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Quickly research companies, people, organizations, and notable entities using Wikipedia summaries.

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