# Compare TikTok comments across three competing beauty brands

**Use case:** 

Reads the top 15 comments of one recent video from each of three beauty brands and saves them in one table, with each video's description, author, plays and comment count on every row. Use it to compare how audiences talk about competing products, or to collect real customer language for ads and FAQs. Swap in videos from any market.

## Input

```json
{
  "videos": [
    "https://www.tiktok.com/@rarebeauty/video/7696766980140879117",
    "https://www.tiktok.com/@maybelline/video/7697012731123125534",
    "https://www.tiktok.com/@fentybeauty/video/7692484078297435423"
  ],
  "maxCommentsPerVideo": 15,
  "includeReplies": false,
  "maxRepliesPerComment": 20,
  "newerThan": "",
  "onlyNewComments": false,
  "monitorName": "default",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "createdAt": {
    "label": "Posted",
    "format": "string"
  },
  "authorUsername": {
    "label": "Commenter",
    "format": "string"
  },
  "text": {
    "label": "Comment",
    "format": "string"
  },
  "likesCount": {
    "label": "Likes",
    "format": "integer"
  },
  "replyCount": {
    "label": "Replies",
    "format": "integer"
  },
  "isReply": {
    "label": "Reply",
    "format": "boolean"
  },
  "isPinned": {
    "label": "Pinned",
    "format": "boolean"
  },
  "isAuthorLiked": {
    "label": "Liked by creator",
    "format": "boolean"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "videoUrl": {
    "label": "Video",
    "format": "string"
  }
}
```

## How it works

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

The TikTok Comments Scraper: Replies, Likes & Monitoring Actor is ready to run with the inputs already set for "Compare TikTok comments across three competing beauty brands". [Sign up or log in](https://console.apify.com/create-task-from-example/6xyV6dFnY4qkUeozt) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare TikTok comments across three competing beauty brands" task

The TikTok Comments Scraper: Replies, Likes & Monitoring Actor will start running based on the input automatically. You can also change all the input fields, like videos, max comments per video, and more, to match your specific use case.

### 3. Receive the "Compare TikTok comments across three competing beauty brands" 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 posted, commenter, comment, 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 TikTok comments across three competing beauty brands" task via API](https://apify.com/stratumics/tiktok-comments-scraper.md).

## About this Actor

This example demonstrates how to use [TikTok Comments Scraper: Replies, Likes & Monitoring](https://apify.com/stratumics/tiktok-comments-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/stratumics/tiktok-comments-scraper.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/stratumics/tiktok-comments-scraper.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`).