Wikipedia Data API

Wikipedia holds the world's largest body of structured encyclopaedic knowledge — millions of articles across hundreds of languages, all interlinked and categorised. The problem is that the raw MediaWiki API is verbose, inconsistent, and painful to work with at scale. The Anysite Wikipedia API wraps it in a clean, consistent REST interface: one POST call returns a fully structured article, section tree, category memberships, or search results. No parsing HTML, no dealing with continuation tokens, no maintaining fragile scrapers.

All Wikipedia endpoints use the access-token header for authentication. Here is a minimal example — fetching a Wikipedia article by title:

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"
  }'

To retrieve the full plain-text content and section structure of an article:

curl -X POST https://api.anysite.io/api/wikipedia/articles/content   -H "access-token: YOUR_API_KEY"   -H "Content-Type: application/json"   -d '{
    "article": "Albert Einstein"
  }'

To search Wikipedia for articles matching a query:

curl -X POST https://api.anysite.io/api/wikipedia/articles/search   -H "access-token: YOUR_API_KEY"   -H "Content-Type: application/json"   -d '{
    "keyword": "machine learning",
    "count": 10
  }'

Every Wikipedia endpoint is included in all Anysite plans — there's no per-endpoint pricing to track. Use MCP Unlimited for flat-rate access through your AI tools, or a credit plan for REST & CLI at scale.