# Analyze a Captioned YouTube Debate

**Use case:** 

Turn one public captioned YouTube debate into timestamped topic chapters, claims to verify, and a transparent proposition/opposition scorecard.

## Input

```json
{
  "video_urls": [
    "https://www.youtube.com/watch?v=yRJBZrlT2kw"
  ],
  "languages": [
    "en"
  ],
  "topic_window_seconds": 600,
  "max_videos": 1,
  "proxy_url": ""
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "video_url": {
    "label": "Video url",
    "format": "string"
  },
  "transcript_stats.duration": {
    "label": "Duration"
  },
  "scorecard.evidence_weighted_edge": {
    "label": "Evidence weighted edge"
  },
  "scorecard.confidence": {
    "label": "Confidence"
  }
}
```

## About this Actor

This example demonstrates how to use [YouTube Debate Transcript & Argument Map](https://apify.com/vanheelsing/youtube-debate-argument-map.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vanheelsing/youtube-debate-argument-map.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/vanheelsing/youtube-debate-argument-map.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).