# Wikipedia API: Access Articles, Search, and Categories at Scale

> Anysite's Wikipedia API gives you clean JSON from all 7 Wikipedia endpoints — articles, search, categories, links, and more. No scraping required.

URL: https://anysite.io/blog/wikipedia-api-launch/
Canonical: https://anysite.io/blog/wikipedia-api-launch/
Language: en
Generated: 2026-10-01

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---

[Anysite Blog](https://anysite.io/blog/) June 27, 2026 · 2 min read

# Wikipedia API: Access Articles, Search, and Categories at Scale

[New Sources](https://anysite.io/blog/tag/new-sources/) [Research Data](https://anysite.io/blog/tag/research-data/)

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](https://anysite.io/sources/wikipedia/). API docs with schema details are at [docs.anysite.io/api-reference/wikipedia/](https://docs.anysite.io/api-reference/wikipedia/?ref=anysite.io).