# Run TikTok Shop Beauty Market Research

**Use case:** 

Export a ranked US beauty dataset with product, seller, price, sales, rating, review, discount, and source data for analysis.

## Input

```json
{
  "mode": "category",
  "category": "Beauty & Skincare",
  "keywords": [
    "face serum"
  ],
  "priceTier": "all",
  "maxResults": 500,
  "maxPagesPerKeyword": 10,
  "trimProductName": true
}
```

## Output

```json
{
  "winningScore": {
    "label": "🏆 Score",
    "format": "text"
  },
  "image": {
    "label": "📸 Image",
    "format": "image"
  },
  "nameShort": {
    "label": "📦 Product",
    "format": "text"
  },
  "price": {
    "label": "💵 Price",
    "format": "text"
  },
  "estRevenue": {
    "label": "💵 Est. Revenue",
    "format": "text"
  },
  "rating": {
    "label": "⭐ Rating",
    "format": "number"
  },
  "reviews": {
    "label": "💬 Reviews",
    "format": "text"
  },
  "sold": {
    "label": "📈 Sold",
    "format": "number"
  },
  "shopName": {
    "label": "🏪 Shop",
    "format": "text"
  },
  "sourceKeyword": {
    "label": "🔍 Keyword",
    "format": "text"
  },
  "productUrl": {
    "label": "🔗 Link",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [TikTok Shop Winning Products](https://apify.com/deepmine/tiktok-shop-winning-products.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/deepmine/tiktok-shop-winning-products.md) to learn more, explore other use cases, and run it yourself.


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

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/deepmine/tiktok-shop-winning-products.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).