📖 Wikipedia Scraper - Structured Knowledge & Article Extractor
Pricing
from $2.00 / 1,000 results
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📖 Wikipedia Scraper - Structured Knowledge & Article 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.
📖 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 titlepageId/url— Wikipedia page ID and linksnippet— search result snippetextract— clean intro text (plain text, no markup)wordCount/size— article statisticswatchers— number of users watching the pagelastModified— last edit timestamp
🚀 How It Works
- Searches Wikipedia via the MediaWiki API
- Fetches each result's intro extract
- 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
Wikipedia, structured and clean. Just enter a topic and run.
