Wikipedia Article Scraper

Wikipedia Scraper - Articles, Summaries, Metadata

santamaria-automations/wikipedia-scraper

Extract Wikipedia articles including full content, summary, thumbnails, categories, external links, coordinates, and Wikidata IDs. Multi-language support for 12+ languages. Export data, run via API, schedule and monitor runs, or integrate with other tools.

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.

Extract Wikipedia articles via MediaWiki API. Get full text, summaries, sections, categories, images, links. Multi-language. Perfect for AI/ML training data and RAG.

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

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

Scrape Wikipedia across 300+ languages. Modes: full articles, summaries, search, random, recent changes, category browse. Extracts text, sections, references, images, links, infobox. Official MediaWiki API — stable, no auth. Great for research, knowledge graphs, content enrichment.

Wikipedia Scraper - Articles & Content for AI / RAG

flash_scraper/wikipedia-scraper

Search Wikipedia in any language and get clean article rows via the free MediaWiki API: title, URL, intro summary or full plaintext content, word count, categories, thumbnail & last-edited date. Perfect for RAG, LLM training data & research. No API key. Export CSV/JSON/Excel.

Wikipedia Scraper – Articles, Summaries & Extracts

ninhothedev/wikipedia-scraper

$0.5/1K 🔥 Fast Wikipedia scraper! Article title, summary, full text, links, images & categories in any language. JSON, CSV, Excel or API in seconds. Search or list titles & pull thousands of articles for research & AI training ⚡

Wikipedia Scraper — Articles, Content & Pageviews

hipersoft/wikipedia-scraper

Search Wikipedia or look up exact articles and get the full plain-text content, summary, categories, image, Wikidata ID and monthly pageview trends. Any language. Great for research, RAG and AI datasets. No key.

Extract structured content from Wikipedia articles. Get summaries, sections, categories, infobox data, images, and internal links in any language.