Wikipedia is the world's largest free encyclopaedia — 61 million articles in 300+ languages, all interlinked, all categorised, and all updated in real time by a global community. It is the default first stop for factual grounding in LLMs, knowledge graphs, research pipelines, and NLP datasets. Today we are making it directly accessible as a structured REST API.
7 endpoints, everything you need
The Anysite Wikipedia API exposes seven endpoints that cover the full breadth of Wikipedia's data model:
- Articles (
/api/wikipedia/articles) — full metadata for any article: title, description, summary, Wikidata entity ID, image, category list, interlanguage links, last revision, and canonical URL. Pass a title, a numeric page ID, or a full Wikipedia URL. - Article categories (
/api/wikipedia/articles/categories) — the editorial categories an article belongs to, with hidden-category flags and canonical URLs. - Article content (
/api/wikipedia/articles/content) — the full plain-text body of an article and a section index (level, heading, anchor, byte offset) so you can slice out any section without parsing HTML. - Interlanguage links (
/api/wikipedia/articles/langlinks) — every language edition that covers the same topic, with language code and localised title. Essential for cross-lingual pipelines. - Article links (
/api/wikipedia/articles/links) — the outbound internal links within an article body, with titles and canonical URLs. Use these to traverse the knowledge graph. - Search (
/api/wikipedia/articles/search) — full-text search ranked by relevance, returning article titles, snippets, word counts, sizes, and last-updated timestamps. - Category members (
/api/wikipedia/categories/members) — all pages and subcategories belonging to a Wikipedia category, with types, addition dates, and canonical URLs.
Multilingual from the start
Every endpoint accepts a language parameter — pass "de" for German, "ja" for Japanese, "es" for Spanish, and so on. The default is English. This makes the API equally useful for English-language pipelines and for cross-lingual work: fetch the same article in multiple languages, compare section structures, or build multilingual training sets.
Quick start
Authentication uses the access-token header — no Bearer prefix, no OAuth flow. Here is a minimal call to fetch a Wikipedia article:
curl -X POST https://api.anysite.io/api/wikipedia/articles -H "access-token: YOUR_API_KEY" -H "Content-Type: application/json" -d '{
"article": "Python (programming language)",
"language": "en"
}'The response includes the article title, Wikidata ID, summary, image, and arrays for categories and interlanguage links — everything you need to bootstrap an entity record or populate a knowledge graph node.
What you can build
The combination of these seven endpoints opens up several high-value use cases:
Knowledge graphs. Traverse the Wikipedia link graph by chaining /articles/links calls — follow a chain of outbound links across any topic domain. Combine with /categories/members to navigate the editorial taxonomy from the top down.
LLM context and grounding. Use /articles/content to retrieve clean plain-text for any topic on demand. The section index lets you extract only the specific sections relevant to a query — keeping context windows lean.
NLP datasets. Search for articles by topic with /articles/search, then retrieve full text across dozens of languages. Structured, consistent, and covering hundreds of languages without any scraping infrastructure.
Multilingual entity linking. Use /articles/langlinks to map a named entity in one language to its Wikipedia equivalents in others — enabling disambiguation and translation across language boundaries.
Get started
The Wikipedia API is available on all Anysite plans. Full endpoint reference and parameter documentation are on the Wikipedia API source page. API docs with schema details are at docs.anysite.io/api-reference/wikipedia/.