# Wikipedia Infobox Structured Data

**Use case:** 

Extract structured infobox data from Wikipedia articles — person details, location coordinates, scientific properties, and entity attributes.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://en.wikipedia.org/wiki/Marie_Curie"
    },
    {
      "url": "https://en.wikipedia.org/wiki/Einstein"
    },
    {
      "url": "https://en.wikipedia.org/wiki/Tesla_(unit)"
    }
  ],
  "extractInfobox": true,
  "extractSectionHeadings": false,
  "extractMainText": false,
  "maxSectionTextLength": 50000,
  "extractTables": false,
  "extractWikitext": false,
  "maxInfoboxFields": 50,
  "maxSectionDepth": 1,
  "maxTables": 5,
  "useApiForInfobox": true,
  "useApiForSections": true,
  "language": "en",
  "maxRequestsPerCrawl": 50,
  "maxConcurrency": 2
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "text"
  },
  "url": {
    "label": "URL",
    "format": "link"
  },
  "pageTitle": {
    "label": "Page Title",
    "format": "text"
  },
  "language": {
    "label": "Language",
    "format": "text"
  },
  "crawledAt": {
    "label": "Crawled At",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Wikipedia Scraper [$0.7💰/1k] | RAG & AI Training](https://apify.com/ahmed_jasarevic/wikipedia-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/ahmed_jasarevic/wikipedia-scraper.md) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/ahmed_jasarevic/wikipedia-scraper.md

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