# Scrape Reddit for Community Research

**Use case:** 

Scrape Reddit posts and metadata: title, body, score, comment count, author, flair, awards and media. Build subreddit watchlists for community and B2B-buyer res

## Input

```json
{
  "queries": [
    "r/programming",
    "AI coding agents"
  ],
  "startUrls": [],
  "postUrls": [],
  "sort": "relevance",
  "timeFilter": "month",
  "maxResults": 50,
  "includeComments": true,
  "maxCommentsPerPost": 20,
  "maxCommentDepth": 2,
  "minScore": 0,
  "skipPinnedPosts": false,
  "monitorMode": "all",
  "maxConcurrency": 3,
  "requestDelaySecs": 0.65
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "text"
  },
  "author": {
    "label": "Author",
    "format": "text"
  },
  "subreddit": {
    "label": "Subreddit",
    "format": "text"
  },
  "score": {
    "label": "Score",
    "format": "text"
  },
  "upvoteRatio": {
    "label": "Upvote ratio",
    "format": "text"
  },
  "numComments": {
    "label": "Comments",
    "format": "text"
  },
  "created": {
    "label": "Created",
    "format": "text"
  },
  "flair": {
    "label": "Flair",
    "format": "text"
  },
  "domain": {
    "label": "Domain",
    "format": "text"
  },
  "selftext": {
    "label": "Content",
    "format": "text"
  },
  "permalink": {
    "label": "Permalink",
    "format": "link"
  },
  "sourceQuery": {
    "label": "Source query",
    "format": "text"
  },
  "changeType": {
    "label": "Change type",
    "format": "text"
  },
  "firstSeenAt": {
    "label": "First seen",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Reddit Scraper API - Posts, Comments & Monitoring](https://apify.com/thirdwatch/reddit-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/thirdwatch/reddit-scraper) to learn more, explore other use cases, and run it yourself.