# Scrape Facebook News Comments for Public Opinion Trends

**Use case:** 

Extract comments from trending news articles shared on Facebook to gauge public opinion and identify evolving narratives around key current events. This is inva

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.facebook.com/nytimes/posts/pfbid0qL6RzN2x1p2x9M8W7y3X8z0F7R1y7D6Q5x6G7H8J9K0L1M2N3O4P5Q6R7S8T9U0V1W2X3Y4Z5A6B7C8D9E0F1"
    },
    {
      "url": "https://www.facebook.com/bbcnews/videos/pfbid038Wp9s5P2o9T8L1j8y0Q4E7C3G6I2O0U5N7M0S4X3V8Z7Y2B5C6D9E0F1G2H3J4K5L6M7N8P9Q0R1S2T3U4V5"
    }
  ],
  "maxItems": 1000,
  "commentsMode": "MOST_RELEVANT",
  "includeNestedComments": true,
  "maxConcurrency": 1,
  "minConcurrency": 1,
  "maxRequestRetries": 3,
  "proxy": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "profileName": {
    "label": "Author",
    "format": "text"
  },
  "text": {
    "label": "Comment",
    "format": "text"
  },
  "date": {
    "label": "Date",
    "format": "text"
  },
  "likesCount": {
    "label": "Likes",
    "format": "text"
  },
  "commentsCount": {
    "label": "Replies",
    "format": "number"
  },
  "threadingDepth": {
    "label": "Depth",
    "format": "number"
  },
  "commentUrl": {
    "label": "URL",
    "format": "link"
  }
}
```

## About this Actor

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