# Analyze YouTube Comments for Product Feedback & Trends

**Use case:** 

Scrape recent comments from top-performing product review videos to understand customer sentiment, identify pain points, and uncover emerging feature requests. 

## Input

```json
{
  "videoUrls": [
    "https://www.youtube.com/watch?v=your-viral-product-review-video-id",
    "https://www.youtube.com/watch?v=competitor-product-review-video-id"
  ],
  "maxComments": 500,
  "includeReplies": true,
  "maxRepliesPerComment": 10,
  "sortBy": "newest"
}
```

## Output

```json
{
  "commentId": {
    "label": "Comment ID",
    "format": "text"
  },
  "text": {
    "label": "Text",
    "format": "text"
  },
  "authorName": {
    "label": "Author",
    "format": "text"
  },
  "likeCount": {
    "label": "Likes",
    "format": "number"
  },
  "replyCount": {
    "label": "Replies",
    "format": "number"
  },
  "publishedTimeText": {
    "label": "Published",
    "format": "text"
  },
  "isReply": {
    "label": "Is Reply",
    "format": "boolean"
  },
  "videoTitle": {
    "label": "Video",
    "format": "text"
  }
}
```

## About this Actor

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