Wikipedia Scraper: Articles, Summaries & Pageviews

Wikipedia-scraper

pluzgi/wikipedia-scraper

The scraper searches Wikipedia for a given term, extracts the titles and URLs of search results, and retrieves the last modification date from each page.

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.

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

Bloomberg Full Article Scraper - Cheapest

xtracto/bloomberg-news-article-scraper

Extract full Bloomberg news articles - including premium content - fast and cost-efficient using HTTP-only requests. No proxy, no browser, no login required.

Wikipedia Scraper

automation-lab/wikipedia-scraper

Search and extract Wikipedia articles — titles, summaries, full content, categories, and images. Uses the free MediaWiki API.

Pull clean data from Wikipedia articles in bulk. For each article: the summary text, short description, main image, map location, categories, number of language versions, page link and last edit date. Look up by title or by keyword search. Official Wikipedia API. No API key needed.

Scrape Medium articles by keyword, author, or tag. Extract titles, full text, claps, reading time, tags, author info, and publication metadata for content research, competitor analysis, and topic monitoring.

Bloomberg Articles Scraper

parseforge/bloomberg-articles-scraper

Scrapes Bloomberg articles by category and returns each article as a flat row with headline, author, publish date, image, and link.

Fetch Wikipedia articles by title (pipe-separated), free-text search, or category name. Returns article summary, full HTML with sections, search results, or category members via the public MediaWiki REST + Action API. No auth, no proxy, no API key. CC-BY-SA content.

Extract structured data from Wikipedia tables as clean JSON. Supports all languages, multiple tables and header detection. Ideal for AI training data and research.