Wikipedia Scraper

Extract Wikipedia articles with full text, infoboxes, categories, and references. Build knowledge bases and research datasets at scale.

Pricing

from $2.00 / 1,000 results

Rating

0.0

(0)

Developer

Stephan Corbeil

Actor stats

Bookmarked

Total users

Monthly active users

17 hours ago

Last modified

Wikipedia Scraper

openclawmara/wikipedia-scraper

OpenClaw Mara

Wikipedia Scraper - Articles, Summaries & Search

makework36/wikipedia-scraper

Scrape Wikipedia articles, summaries, and search results. Supports summary, search, and random article modes via the Wikipedia REST API. Pure HTTP, no browser needed.

oscar lira

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 Scraper

automation-lab/wikipedia-scraper

Search and extract Wikipedia articles — titles, summaries, full content, categories, and images. Uses the free MediaWiki API.

Stas Persiianenko

Wikipedia Email Scraper - Advanced, Fast & Cheapest

contacts-api/wikipedia-email-scraper-fast-advanced-and-cheapest

📚 Wikipedia Email Scraper allows you to collect publicly available editor and organization emails from Wikipedia pages 🔎 Great for research and academic outreach 📧

Lead Heaven

Wikipedia Article Extractor (AI-ready)

changeable_acacia/wikipedia-article-extractor-ai-ready

Extracts clean JSON from any Wikipedia article for AI/RAG use.

SABYASACHI TRIPATHY

Wikipedia Article Search

ryanclinton/wikipedia-article-search

Search and retrieve structured data from Wikipedia articles across 15 language editions. This Apify actor queries the MediaWiki Search API to find relevant articles, then enriches each result with plain-text summaries, descriptions, Wikidata IDs, and thumbnail images via the Wikipedia REST API.

ryan clinton

Wikipedia Scraper | $5 / 1k | Fast & Reliable

fatihtahta/wikipedia-scraper

Get full articles and detailed search results with the Wikipedia Scraper. Extract structured data including titles, summaries, citations, and full content. Ideal for market research, AI training, and competitive intelligence.