📖 Wikipedia Content Extractor

Search Wikipedia and get clean, structured article summaries — instantly.

Powered by the official MediaWiki API. No login, no API key, no blocks.

✨ Features

• 🔍 Topic search — search any topic (e.g. black holes, K-pop, machine learning)
• 📄 Intro extracts — get each article's clean text summary (no markup)
• 📊 Rich metadata — page ID, word count, watchers, last modified
• 🔗 Direct links — full URLs to every article
• ⚡ Fast — official API, results in seconds

💡 Use Cases

• 🧠 Students — quick research on any topic
• ✍️ Writers — gather source material and references
• 🤖 AI/LLM training — clean text corpus for model data
• 📰 Journalists — fact-check and background info
• 🔎 Curious minds — explore any subject systematically

📊 Output Fields

Each article includes:

• title — article title
• pageId / url — Wikipedia page ID and link
• snippet — search result snippet
• extract — clean intro text (plain text, no markup)
• wordCount / size — article statistics
• watchers — number of users watching the page
• lastModified — last edit timestamp

🚀 How It Works

1. Searches Wikipedia via the MediaWiki API
2. Fetches each result's intro extract
3. Returns clean, structured JSON

💰 Pricing

from $2.00 / 1,000 results — pay only for data returned.

⚙️ Technical

• Runtime: Python 3.11
• Data source: official MediaWiki API
• No API key required
• Execution time: ~3 seconds

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Wikipedia, structured and clean. Just enter a topic and run.