# TikTok Shop Reviews by Product ID

**Use case:** 

Collect up to 50 public TikTok Shop reviews for the submitted numeric product ID. Open the overview dataset to review stars, text when present, publication time, media, and product details.

## Input

```json
{
  "productTargets": [
    "1731043373753405773"
  ],
  "storefront": "US",
  "starRatingFilter": "any",
  "reviewLimit": 50,
  "reviewOrder": "recommended"
}
```

## Output

```json
{
  "product": {
    "label": "Product",
    "format": "object"
  },
  "rating": {
    "label": "Star rating",
    "format": "integer"
  },
  "text": {
    "label": "Review text",
    "format": "string"
  },
  "publishedAt": {
    "label": "Published time",
    "format": "string"
  },
  "media": {
    "label": "Review media",
    "format": "array"
  },
  "reviewer": {
    "label": "Reviewer",
    "format": "object"
  },
  "purchase": {
    "label": "Purchase signals",
    "format": "object"
  },
  "variant": {
    "label": "Purchased variant",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [TikTok Shop Reviews Scraper](https://apify.com/maximedupre/tiktok-shop-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/maximedupre/tiktok-shop-reviews-scraper.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.

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