Wikipedia Table Extractor
Pricing
from $0.50 / 1,000 results
Extract structured data from Wikipedia tables as clean JSON. Supports all languages, multiple tables and header detection. Ideal for AI training data and research.
Pricing
from $0.50 / 1,000 results
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Developer
Muhammad Naufal
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14 hours ago
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You can access the Wikipedia Table Extractor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lafuan/wikipedia-data", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}Get a ready-to-use configuration for your MCP client with the Wikipedia Table Scraper - Extract Structured Data Actor preconfigured at mcp.apify.com?tools=lafuan/wikipedia-data .
You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.