# Export Reddit thread comments

**Use case:** 

Export a complete public Reddit discussion with nested comments, authors, scores, timestamps, and canonical URLs in a structured dataset.

## Input

```json
{
  "subreddits": [
    "programming"
  ],
  "searches": [],
  "startUrls": [
    {
      "url": "https://www.reddit.com/r/AskReddit/comments/1v96m3r/whats_a_boring_business_that_quietly_makes_its/"
    }
  ],
  "sort": "new",
  "time": "all",
  "includeNSFW": false,
  "trackingKeywords": [],
  "excludeKeywords": [],
  "skipComments": false,
  "maxComments": 0,
  "maxCommentDepth": 20,
  "onlyNew": false,
  "outputFormat": "default",
  "minimumRelevanceScore": 25,
  "maxItems": 0,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "recordType": {
    "label": "Type",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "body": {
    "label": "Comment",
    "format": "string"
  },
  "subreddit": {
    "label": "Subreddit",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "score": {
    "label": "Score",
    "format": "number"
  },
  "numComments": {
    "label": "Comments",
    "format": "number"
  },
  "createdAt": {
    "label": "Created",
    "format": "string"
  },
  "url": {
    "label": "Reddit URL",
    "format": "string"
  },
  "sourceQuery": {
    "label": "Source",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Reddit Monitor & Scraper - Brand Mentions, Signals](https://apify.com/webdata_labs/reddit-signal-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/webdata_labs/reddit-signal-scraper) to learn more, explore other use cases, and run it yourself.