# Full Wikipedia Article Text Scraper (Plain Text)

**Use case:** 

Need the complete body of Wikipedia articles? This task returns full plain-text content by title, ready for NLP, summarization, and text analysis.

## Input

```json
{
  "searchQuery": "machine learning",
  "pageTitles": [
    "French Revolution",
    "World War II",
    "Cold War"
  ],
  "fullText": true,
  "language": "en",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "text"
  },
  "url": {
    "label": "URL",
    "format": "link"
  },
  "snippet": {
    "label": "Snippet",
    "format": "text"
  },
  "extract": {
    "label": "Extract",
    "format": "text"
  },
  "wordcount": {
    "label": "Words",
    "format": "number"
  },
  "thumbnail": {
    "label": "Thumbnail",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Wikipedia Scraper](https://apify.com/dami_studio/wikipedia-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dami_studio/wikipedia-scraper) to learn more, explore other use cases, and run it yourself.