# Research top-performing Reddit content in a community

**Use case:** 

Research top-performing Reddit content in a community. This task scans
r/entrepreneur's top posts and scores each against the subreddit's own median to
surface the standout threads and discussions, with title, URL, upvotes, comment
count, and outlier ratio. Runs with redditSortBy top and minimumOutlierScore 2.0.
$10 per 1,000 dataset items.

## Input

```json
{
  "enableYouTube": true,
  "youtubeUrls": [
    "https://www.youtube.com/@TED"
  ],
  "enableYouTubeTranscripts": false,
  "enableYouTubeComments": false,
  "youtubeMaxComments": 20,
  "enableInstagram": false,
  "enableInstagramReels": true,
  "enableInstagramPosts": true,
  "enableInstagramAnalytics": true,
  "enableInstagramComments": false,
  "instagramMaxComments": 20,
  "enableTikTok": false,
  "enableTikTokComments": false,
  "tiktokMaxComments": 20,
  "enableReddit": true,
  "redditUrls": [
    "https://www.reddit.com/r/entrepreneur"
  ],
  "redditSortBy": "top",
  "enableRedditComments": false,
  "redditMaxComments": 20,
  "enableRedditProfiles": false,
  "enableLinkedIn": false,
  "linkedinUrls": [],
  "contentLimitPerSource": 30,
  "maxItems": 50,
  "minimumBaselineItems": 8,
  "minimumOutlierScore": 2,
  "includeAllContent": false,
  "aiAnalysis": false,
  "topOutliersPerSource": 5,
  "matureContentHours": 24,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "platform": {
    "label": "Platform",
    "format": "string"
  },
  "creatorUsername": {
    "label": "Creator",
    "format": "string"
  },
  "community": {
    "label": "Community",
    "format": "string"
  },
  "thumbnailUrl": {
    "label": "Thumb",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "contentUrl": {
    "label": "Content",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "caption": {
    "label": "Caption",
    "format": "string"
  },
  "publishedAt": {
    "label": "Published",
    "format": "string"
  },
  "views": {
    "label": "Views",
    "format": "integer"
  },
  "likes": {
    "label": "Likes",
    "format": "integer"
  },
  "comments": {
    "label": "Comments",
    "format": "integer"
  },
  "shares": {
    "label": "Shares",
    "format": "integer"
  },
  "baselineMedianViews": {
    "label": "Baseline Views",
    "format": "number"
  },
  "viewOutlierRatio": {
    "label": "View Outlier",
    "format": "number"
  },
  "overallOutlierScore": {
    "label": "Overall Outlier",
    "format": "number"
  },
  "classification": {
    "label": "Classification",
    "format": "string"
  },
  "topic": {
    "label": "Topic",
    "format": "string"
  },
  "hook": {
    "label": "Hook",
    "format": "string"
  },
  "isOutlier": {
    "label": "Outlier?",
    "format": "boolean"
  }
}
```

## About this Actor

This example demonstrates how to use [Social Media Content Outlier Finder](https://apify.com/rigelbytes/social-media-content-outlier.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rigelbytes/social-media-content-outlier.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/rigelbytes/social-media-content-outlier.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).