#wikimedia

Live readership-trend data from the Wikimedia Pageviews API — the official measure of what the world is reading on Wikipedia and its sister projects. See the most-viewed articles on any Wikipedia language edition for a given day (the daily trending list); pull the daily or monthly pageview trend for any single article over a date range; read a whole project's total pageviews over a range as a barometer of overall traffic; or rank several articles head-to-head by total views for topic-engagement comparison. Special / namespace pages (Main Page, Search, Portal…) are filtered out by default so the trending list is real articles. Read live from Wikimedia, nothing stored — data lags about 1-2 days, so ranges default to ending two days back. This is the Wikipedia readership-trend and topic-engagement layer for any trends, research, newsroom or analytics app — distinct from Wikipedia content APIs: this is the pageview, trending and engagement signal of what people are actually reading and how it changes.

api.oanor.com/wikitrends-api

Wikisource as an API — the Wikimedia free digital library of original source texts. Wikisource collects public-domain and freely-licensed primary texts: classic literature, poetry and plays, historical speeches, treaties and constitutions, religious and philosophical works, landmark court decisions, essays, letters and more, faithfully transcribed. This API wraps the official Wikisource MediaWiki service into clean JSON. /v1/search?q=Gettysburg Address searches the library and returns matching work and page titles with a text snippet and word count. /v1/work?title=Gettysburg Address returns a work's metadata — a short description, a text preview, the total character length and the canonical URL. /v1/text?title=Gettysburg Address (Bliss copy) returns the full plain text of a work (rendered and cleaned from the wiki source, capped at 60,000 characters with a truncated flag when longer) — the actual readable document, including transcribed works that template-based pages assemble. Many works are split into sub-pages or exist in several versions, so use /v1/search to find the exact page title first. Ideal for digital-humanities and literature apps, e-reading and quotation tools, NLP corpora of historical texts, and education. Content is public domain or CC BY-SA. Distinct from book-metadata catalogues and encyclopaedias — this is the actual full text of primary sources and classic works. For free textbooks use the Wikibooks API, for the encyclopaedia the Wikipedia API.

api.oanor.com/wikisource-api

Wikibooks as an API — the Wikimedia library of free, open-content textbooks, manuals and learning guides, community-written and freely licensed. Wikibooks covers programming and computer science, mathematics, the natural and social sciences, languages, engineering, cooking, music and much more, organised as books made up of chapters. This API wraps the official Wikibooks MediaWiki service into clean JSON. /v1/search?q=python programming searches the library and returns matching book and chapter titles with a text snippet and word count. /v1/book?title=Python Programming returns a book's overview — its short description, the plain-text introduction, a cover thumbnail and the canonical URL. /v1/chapters?title=Python Programming lists the book's chapters (its subpages, e.g. Python Programming/Operators, Python Programming/Classes), each with the chapter name and URL, so you can browse and present a whole book's structure. Titles are Wikibooks page names; get the exact title from /v1/search first. Ideal for e-learning platforms and study apps, open-education and OER tools, reading lists, and developer/teaching content aggregators. Content is licensed CC BY-SA by the Wikibooks community. Distinct from book-metadata catalogues — this is actual free educational content. For travel guides see the Wikivoyage API, for the encyclopaedia the Wikipedia API.

api.oanor.com/wikibooks-api

Wikivoyage as an API — the free, community-written worldwide travel guide, the travel sister project of Wikipedia. Wikivoyage covers countries, cities, regions, neighbourhoods and points of interest with practical, freely-licensed advice on what to see and do, how to get around, and where to eat and sleep. This API wraps the official Wikivoyage MediaWiki service into clean JSON. /v1/destination?title=Paris returns a destination's guide: its one-line description, the introductory guide text as plain readable prose, its geographic coordinates, a thumbnail image and the canonical URL — everything to present a destination at a glance. /v1/search?q=beaches searches the travel guides by keyword and returns matching destination titles with a short snippet, for building destination finders and autocomplete. /v1/nearby?lat=48.8584&lon=2.2945&radius=10000 finds destinations and points of interest within a radius (up to 10 km) of any coordinate, sorted by distance — perfect for "what is worth visiting near me" and map-based discovery. Titles are Wikivoyage article names such as Paris, Rome, Tokyo or Paris/7th arrondissement. Ideal for travel apps, trip planners, tourism dashboards, location-based discovery and chatbots. Content is licensed CC BY-SA by the Wikivoyage community. For encyclopaedic, non-travel content, pair this with a Wikipedia API.

api.oanor.com/wikivoyage-api

Search millions of freely-licensed images and media as an API, from Wikimedia Commons. Pass a search term and get matching photos and illustrations with their direct full-resolution image URL, a ready-to-use thumbnail, dimensions, file size, MIME type, and crucially the licence (Creative Commons or public domain), licence URL and author/credit — everything you need to find and correctly attribute reusable media. Or look up a single file by name for its full details. Ideal for blogs, content and marketing tools, presentations, education and apps that need free, attributable imagery. Open data from Wikimedia Commons (always check each file's licence before reuse).

api.oanor.com/commons-api

Wikipedia pageview statistics as an API, live from the official Wikimedia REST API. See the most-viewed Wikipedia articles for any day — a real-time pulse of what the world is reading and searching for — with junk namespaces filtered out by default, and get the daily (or monthly) view counts and totals for any individual article over any date range. Works for any language edition (en.wikipedia, de.wikipedia, fr.wikipedia and 300+ projects) and any access method (desktop, mobile-web, mobile-app). Ideal for trend analysis, news, research, dashboards, SEO and content strategy. Public Wikimedia data.

api.oanor.com/pageviews-api

Search Wikipedia and fetch concise article summaries, page media, "on this day" historical events and random articles — across all Wikipedia languages, via the official Wikimedia API.

api.oanor.com/wikipedia-api