# Compare TikTok Competitors & Creator Performance

**Use case:** 

Compare TikTok profiles by views, engagement, follower reach, posting frequency, viral outliers, hashtags, sounds, and content performance.

## Input

```json
{
  "profiles": [
    "nike",
    "adidas"
  ],
  "maxVideosPerProfile": 3,
  "sortMode": "latest",
  "skipPinnedPosts": true
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type"
  },
  "username": {
    "label": "Username"
  },
  "ownerUsername": {
    "label": "Owner username"
  },
  "publishedAt": {
    "label": "Published",
    "format": "date"
  },
  "url": {
    "label": "TikTok Video",
    "format": "link"
  },
  "views": {
    "label": "Views",
    "format": "number"
  },
  "likes": {
    "label": "Likes",
    "format": "number"
  },
  "comments": {
    "label": "Comments",
    "format": "number"
  },
  "shares": {
    "label": "Shares",
    "format": "number"
  },
  "saves": {
    "label": "Saves"
  },
  "engagementTotal": {
    "label": "Engagement total"
  },
  "engagementRateByViewsPct": {
    "label": "Engagement rate by views pct"
  },
  "viewsToFollowersPct": {
    "label": "Views to followers pct"
  },
  "outlierScore": {
    "label": "Outlier score"
  },
  "isViralOutlier": {
    "label": "Is viral outlier"
  },
  "followers": {
    "label": "Followers",
    "format": "number"
  },
  "videosAnalyzed": {
    "label": "Videos analyzed"
  },
  "averageViews": {
    "label": "Average views",
    "format": "number"
  },
  "medianViews": {
    "label": "Median views",
    "format": "number"
  },
  "averageLikes": {
    "label": "Average likes"
  },
  "averageComments": {
    "label": "Average comments"
  },
  "averageShares": {
    "label": "Average shares"
  },
  "averageEngagementRateByViewsPct": {
    "label": "Average engagement rate by views pct"
  },
  "estimatedPostsPerWeek": {
    "label": "Estimated posts per week"
  },
  "viralPostCount": {
    "label": "Viral post count"
  }
}
```

## About this Actor

This example demonstrates how to use [TikTok Competitor & Creator Intelligence](https://apify.com/datavaultlabs/tiktok-competitor-intelligence) with a specific input configuration. Visit the [Actor detail page](https://apify.com/datavaultlabs/tiktok-competitor-intelligence) 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/datavaultlabs/tiktok-competitor-intelligence.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).