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from $0.65 / 1,000 results

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📚 Wikipedia Structured Knowledge & Infobox Extractor (MCP)

Try for free

Extract structured Wikipedia infoboxes, summaries, sections, and entity data for LLM RAG pipelines, Claude Desktop, and Cursor without browser blocks.

Pricing

from $0.65 / 1,000 results

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Developer

David A

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Total users

Monthly active users

2 days ago

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Pricing

Pay-Per-Event (PPE): $0.0010 per extracted item with up to 55% off for store subscribers.

Wikipedia Article Extractor

johnlenflure/wikipedia-extractor

Extract structured content from Wikipedia articles. Get summaries, sections, categories, infobox data, images, and internal links in any language.

Sinan Donmez

📖 Wikipedia Scraper - Structured Knowledge & Article Extractor

unrivaled_fortress/wikipedia-content-extractor

Extract structured public Wikipedia content, page summaries, infobox-style fields, categories, and links for knowledge bases, research workflows, and enrichment pipelines. Pay-per-result.

David A

Wikipedia Scraper [$0.7💰/1k] | RAG & AI Training

ahmed_jasarevic/wikipedia-scraper

Extract structured data from Wikipedia articles — infoboxes, sections, tables and full text. Build knowledge graphs, RAG pipelines and AI training datasets from the world's largest encyclopedia.

Ahmed Jasarevic

Wikipedia Pro Scraper - Sections, Infobox, References

wetyr_corporation/wikipedia-pro-scraper

Wikipedia scraper for AI/RAG. Extracts structured sections, infobox key-value data, references. Multilingual, batch-friendly. Ready for vector databases.

WETYR

Wikipedia Scraper - Article Content Extractor

lulzasaur/wikipedia-scraper

Scrape Wikipedia articles. Search by topic and extract full structured content: summaries, sections, infobox data, categories, references, images, and edit history for any article.

lulz bot

Wikipedia Retrieval MCP

quiescent_zebrafish/wikipedia-retrieval

Search and retrieve Wikipedia summaries, page sections, and bounded extracts for agents.

Stefy (nextime) Lanza

Wikipedia MCP Server

agentify/wikipedia-mcp-server

MCP server for Wikipedia, providing LLMs and clients with real-time access to Wikipedia articles, summaries, sections, and related information via Apify Actor.

agentify

Wikipedia Article Scraper

crawlerbros/wikipedia-scraper

Extract structured data from Wikipedia articles. Get summaries, categories, images, metadata, and descriptions using Wikipedia's official API. Supports 300+ languages.

Crawler Bros

Wikipedia Scraper: Articles, Summaries & Infoboxes

arman-bd/wikipedia-articles-scraper

Scrape Wikipedia through the official REST API: summaries, full extracts, images, coordinates, categories and links. 300+ languages, no key, no proxies.

Arman Hossain

Wikipedia Article Extractor

glassventures/wikipedia-article-extractor

Extract Wikipedia articles via MediaWiki API. Get full text, summaries, sections, categories, images, links. Multi-language. Perfect for AI/ML training data and RAG.