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📚 Wikipedia Scraper

Scrape Wikipedia articles, search results, recent edits, and categories — across all 300+ language editions. Returns clean plain-text content, summaries, references, and rich metadata.

🎯 Built for AI/LLM training datasets, NLP research, knowledge-graph construction, journalism, and education.

👁 Sample dataset output

👁 Input form

👁 Run log — clean success

✨ What you can do

• 📄 Fetch articles by title — clean plain-text body, summary, sections, references
• 🔎 Search — full-text search across an entire language edition
• 📡 Recent changes — live feed of edits (title, user, comment, revid)
• 📁 Pull entire categories — all members of Category:Machine_learning, etc.
• 🌐 Any language — en, es, fr, de, ja, zh, hi, ar, etc.
• 📦 Rich output: links (internal+external), categories, sections, last-modified

🚀 Quick start

{
"mode":"articles",
"language":"en",
"titles":["Artificial intelligence","Large language model"],
"includeContent":true,
"includeReferences":false
}

📥 Input

📤 Output (per item)

{
"mode":"articles",
"title":"Artificial intelligence",
"language":"en",
"pageId":1164,
"summary":"Artificial intelligence (AI) refers to...",
"content":"Full article text...",
"wordCount":12873,
"sections":["Goals","History","Methods"],
"externalLinks":["https://..."],
"internalLinks":["Machine learning","Neural network"],
"categories":["Artificial intelligence","Cybernetics"],
"url":"https://en.wikipedia.org/wiki/Artificial_intelligence",
"lastModified":"2026-04-30T...",
"scrapedAt":"2026-05-06T..."
}

🎯 Use cases

⚙️ Tech notes

• Uses MediaWiki's official Action API + REST Summary API
• No login, no key, no rate limits (within fair use)
• Plain-text extraction via explaintext=1 — already cleaned, no HTML/wikitext
• Recent-changes uses rctype=edit|new to skip log noise

❓ FAQ

Are full Wikipedia dumps better? For one-shot pre-training, yes (free at dumps.wikimedia.org). This Actor is for targeted scrapes — specific topics, ongoing freshness, multi-language slices, or recent-changes monitoring.

Schedule it? Yes. Recent changes mode is perfect for hourly Apify Schedules.

Hits rate limits? Almost never. MediaWiki's anonymous limit is generous and we add automatic retries with backoff.