# Compare food TikTok creators by real reach

**Use case:** 

Compares 4 food and cooking TikTok creators by median views per video divided by followers: the share of their audience a typical post reaches. Also returns median engagement rate, posting rhythm and sponsored-post share over the last 12 videos. Use it to pick cooking creators whose posts are still seen today.

## Input

```json
{
  "usernames": [
    "nick.digiovanni",
    "flakeysalt",
    "gordonramsayofficial",
    "cookingwithlynja"
  ],
  "videosPerCreator": 12,
  "maxCreators": 5,
  "sortBy": "viewToFollowerRatio",
  "detectSponsored": true,
  "minFollowers": 0,
  "maxFollowers": 0,
  "minEngagementRate": 0,
  "minViewToFollowerRatio": 0,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "rank": {
    "label": "#",
    "format": "integer"
  },
  "username": {
    "label": "Creator",
    "format": "string"
  },
  "profileUrl": {
    "label": "Profile",
    "format": "string"
  },
  "followers": {
    "label": "Followers",
    "format": "integer"
  },
  "engagementRate": {
    "label": "Engagement rate %",
    "format": "number"
  },
  "viewToFollowerRatio": {
    "label": "Median views / followers %",
    "format": "number"
  },
  "medianViews": {
    "label": "Median views",
    "format": "number"
  },
  "postsPerWeek": {
    "label": "Posts / week",
    "format": "number"
  },
  "sponsoredShare": {
    "label": "Sponsored posts %",
    "format": "number"
  },
  "sponsoredSignals": {
    "label": "Sponsored signals",
    "format": "array"
  },
  "lastPostAt": {
    "label": "Last post",
    "format": "string"
  },
  "topHashtags": {
    "label": "Top hashtags",
    "format": "array"
  },
  "verified": {
    "label": "Verified",
    "format": "boolean"
  },
  "dataQuality": {
    "label": "Data",
    "format": "string"
  },
  "errorCode": {
    "label": "Error",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The TikTok Influencer Finder by Engagement Rate Actor is ready to run with the inputs already set for "Compare food TikTok creators by real reach". [Sign up or log in](https://console.apify.com/create-task-from-example/qsCcw5c3utRk28CgZ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare food TikTok creators by real reach" task

The TikTok Influencer Finder by Engagement Rate Actor will start running based on the input automatically. You can also change all the input fields, like tiktok usernames or profile urls, recent videos per creator, and more, to match your specific use case.

### 3. Receive the "Compare food TikTok creators by real reach" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as #, creator, profile, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Compare food TikTok creators by real reach" task via API](https://apify.com/sillage-data/tiktok-creator-ranker.md).

## About this Actor

This example demonstrates how to use [TikTok Influencer Finder by Engagement Rate](https://apify.com/sillage-data/tiktok-creator-ranker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sillage-data/tiktok-creator-ranker.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sillage-data/tiktok-creator-ranker.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).