# Explore LinkedIn company content discovery

**Use case:** 

Explore LinkedIn company content discovery. This V1 interface task scans a
LinkedIn company URL and emits an initial listing, but LinkedIn outlier scoring is
not yet available — underlying scrapers do not expose per-post engagement for
baselines, so runs return warnings rather than scores. Kept for testing the
interface. $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": false,
  "redditSortBy": "hot",
  "enableRedditComments": false,
  "redditMaxComments": 20,
  "enableRedditProfiles": false,
  "enableLinkedIn": true,
  "linkedinUrls": [
    "https://www.linkedin.com/company/microsoft"
  ],
  "contentLimitPerSource": 15,
  "maxItems": 30,
  "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).