WikiRest API Documentation

Everything you need to integrate Wikipedia search into your application.

Getting Started

Get up and running in under 5 minutes. Create an API key and make your first request.

API Reference

Complete reference for all endpoints, parameters, and response formats.

Code Examples

Ready-to-use examples in Python, JavaScript, Go, and more.

SDKs & Libraries

Official and community client libraries for your favorite language.

Quick start

1. Get your API key

Create a free account to get your API key. No credit card required.

2. Make a request

curl -H "X-API-Key: YOUR_API_KEY" \
  "https://api.wikirest.com/v1/search?q=machine+learning&limit=5"

3. Get results

{
  "hits": [
    {
      "id": "12345_1",
      "title": "Machine learning",
      "text": "Machine learning is a subset of artificial intelligence...",
      "url": "https://en.wikipedia.org/wiki/Machine_learning"
    }
  ],
  "processingTimeMs": 12
}

API endpoints

Endpoint	Description
`GET /v1/search`	Search Wikipedia content
`GET /v1/chunk/:id`	Get a single text chunk
`GET /v1/page/:page_id`	Get page with all chunks
`GET /v1/changes`	Get recently changed pages
`GET /v1/pdf/:page_id`	Download page as PDF 10 credits
`GET /v1/meta`	Get index metadata
`GET /v1/license`	Get license information

See the full API reference for details.

Key features

LLM-optimized chunks: Pre-chunked passages (~500 tokens) perfect for RAG
Fast full-text search: Sub-50ms queries powered by Meilisearch
Highlighting: Search terms highlighted in results
Source attribution: Full URLs and licensing info included
6M+ articles: Complete English Wikipedia coverage

Common use cases

RAG applications: Ground LLM responses with Wikipedia facts
Chatbots: Add knowledge retrieval to conversational AI
Search interfaces: Build Wikipedia search for your app
Fact-checking: Verify claims against Wikipedia
Research tools: Aggregate information on topics