Wikipedia To Markdown

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

Extract article content, summaries, infoboxes, references, and categories from Wikipedia. Great for knowledge base building and research.

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

📚 Wikipedia Scraper — Articles & Knowledge Data

nexgendata/wikipedia-scraper

Extract structured data from Wikipedia — article text, infoboxes, categories, references & links. Build knowledge bases, AI training datasets & research tools. Pay per article.

Scrape Wikipedia articles by search keyword or exact title. Returns summaries, full article text, categories, and links. Supports 300+ languages.

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.

Wikipedia Scraper

devilscrapes/wikipedia-article-scraper

Extract Wikipedia article text, summary, infobox, references, and categories via the Wikipedia API — one row per article, in any language — export to JSON or CSV. We handle title normalisation, redirects, retries, and rate-limit pacing so your dataset arrives clean.

Search and extract Wikipedia article metadata, summaries, and content via the official MediaWiki API. No scraping overhead — pure API integration with high reliability.

Search Wikipedia articles, fetch article content and summaries, or get today's featured and most-read articles. Supports all Wikipedia language editions.

Website To Markdown

smart_api/website-to-markdown

Convert any webpage into clean, LLM-ready Markdown in seconds — perfect for AI training data, RAG pipelines, and content archiving.