# Build a transcript corpus from public Shorts

**Use case:** 

Collect transcript text from public Shorts to support summaries, coding, review, or other text analysis workflows.

## Input

```json
{
  "searchQuery": "morning routine tips",
  "searchQueries": [
    "storytime shorts",
    "how to draw short"
  ],
  "channelUrls": [],
  "hashtagUrls": [],
  "startUrls": [],
  "maxResults": 10,
  "maxConcurrency": 2,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "includeTranscripts": true,
  "transcriptLanguage": "en"
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "channel_name": {
    "label": "Channel Name",
    "format": "string"
  },
  "transcript_text": {
    "label": "Transcript (plain text)",
    "format": "string"
  },
  "transcript_language": {
    "label": "Transcript Language",
    "format": "string"
  },
  "is_auto_generated": {
    "label": "Auto-Generated Transcript",
    "format": "boolean"
  },
  "transcript_word_count": {
    "label": "Transcript Word Count",
    "format": "number"
  },
  "view_count": {
    "label": "Views",
    "format": "number"
  },
  "url": {
    "label": "Short URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [YouTube Shorts Scraper — Views, Likes & Viral Score](https://apify.com/khadinakbar/youtube-shorts-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/khadinakbar/youtube-shorts-scraper) to learn more, explore other use cases, and run it yourself.