Quick Fact-Checking
Rapidly verify facts, dates, statistics, and claims by pulling authoritative information from Wikipedia.
Get Structured Data
Extract structured facts, statistics, and data points from Wikipedia articles for use in applications and content.
Quick answer: Use the Wikipedia Lookup tool through ToolRouter to get structured data directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolWikipedia 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.
How to get structured data with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude makes Wikipedia a conversational knowledge source in your terminal where each answer naturally opens the door to deeper questions. Start with a quick fact check, follow the thread into related topics, pull full articles for the sections that matter most, and extract references for primary source verification -- all in one continuous session. The iterative approach mirrors how real research works, letting you build understanding progressively rather than committing to a single query upfront.
Connect ToolRouter to Claude
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
How to get structured data with Claude
Once connected (see setup above), use the Wikipedia Lookup tool:
- Ask Claude: "Get the Wikipedia summary for Tokyo and extract key statistics using wikipedia-lookup"
- Claude returns population, area, GDP, and other structured data points
- Ask: "Get the same data for the top 5 cities by population"
- Claude compiles a structured comparison dataset
Example prompt for Claude
Try this with Claude using the Wikipedia Lookup tool
Extract key statistics for the 10 largest countries by area using wikipedia-lookup: population, capital, GDP, area, and official language.
Tips for Claude
- Ask Claude to output data in JSON or CSV format for programmatic use
- Batch multiple entity lookups in one request for efficiency
- Claude can merge data from multiple Wikipedia articles into a unified dataset
ChatGPT transforms Wikipedia lookups into polished briefings tailored to your specific needs and audience. Ask about any topic and receive a clear, well-organized summary at the level of detail you specify -- from a one-paragraph fact check to a comprehensive background report with timelines, key figures, and significance context. The natural conversation format makes it easy to adjust scope on the fly, going broader for context or deeper into subtopics based on what you learn as the briefing develops.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
How to get structured data with ChatGPT
Once connected (see setup above), use the Wikipedia Lookup tool:
- Ask: "Get structured data about Apple Inc. from Wikipedia using wikipedia-lookup"
- ChatGPT extracts founding date, headquarters, revenue, employees, and other facts
- Request: "Format this as a JSON object with all key metrics"
- ChatGPT provides structured, machine-readable data
Example prompt for ChatGPT
Try this with ChatGPT using the Wikipedia Lookup tool
Extract structured data for the top 5 tech companies (Apple, Google, Microsoft, Amazon, Meta) from Wikipedia. Output as a comparison table.
Tips for ChatGPT
- ChatGPT can output structured data in JSON, CSV, or table formats
- Ask for specific fields to extract rather than everything for cleaner results
- Request data normalization (same units, same date format) across multiple entities
Copilot puts Wikipedia at your fingertips inside your editor for the constant small research moments that arise during development. Verify a date in your documentation, look up a technical concept before choosing an implementation approach, check the background of a technology mentioned in a code review, or extract structured reference data for your application -- all without opening a browser tab or losing your place in the codebase. The zero-context-switch access makes you more likely to verify assumptions rather than guessing.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
How to get structured data with Copilot
Once connected (see setup above), use the Wikipedia Lookup tool:
- In Copilot Chat: "Get structured data about Python programming language from Wikipedia using wikipedia-lookup"
- Copilot extracts key facts: release date, creator, latest version, paradigm
- Ask Copilot to format the data as a TypeScript constant or JSON file
- Use the data in your application or documentation
Example prompt for Copilot
Try this with Copilot using the Wikipedia Lookup tool
Extract structured data about all programming languages mentioned in our tech stack and create a languages.json reference file.
Tips for Copilot
- Copilot can create reference data files directly in your project
- Use for populating seed data, reference tables, or configuration files
- Ask Copilot to create TypeScript types alongside the extracted data
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 toolsHow to get structured data with OpenClaw
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 for OpenClaw
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 for OpenClaw
- 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
Frequently Asked Questions
How do I get structured data with an AI assistant?
Extract structured facts, statistics, and data points from Wikipedia articles for use in applications and content. Connect the Wikipedia Lookup tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask Claude: "Get the Wikipedia summary for Tokyo and extract key statistics using wikipedia-lookup" Claude returns population, area, GDP, and other structured data points
Which AI assistants can get structured data?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all get structured data using the Wikipedia Lookup tool through ToolRouter, with no API keys or coding required.
What does the Wikipedia Lookup tool do?
Search Wikipedia, get article summaries and full content, and discover historical events for research, fact-checking, and knowledge enrichment.
Related Use Cases
Research Topic Background
Get comprehensive background information on any topic using Wikipedia summaries and full articles.
Find Sources and References
Use Wikipedia articles as a gateway to primary sources, academic papers, and authoritative references.
Research Notable Entities
Quickly research companies, people, organizations, and notable entities using Wikipedia summaries.