# Amazon Product Rating Data by ASIN

**Use case:** 

Sometimes the summary is the deliverable. The products view returns one row per ASIN with brand, overall star rating, total rating count, how many reviews are actually visible and the availability line - a rating table for fifteen products. The review rows are still in the dataset behind it. Cost: 195 review rows at $0.005 plus 15 product rows at $0.003 = at most $1.02 a run.

## Input

```json
{
  "asins": [
    "B08JHCVHTY",
    "B0DCH8VDXF",
    "B0GJTFXNRX",
    "B0DGHMNQ5Z",
    "B0FQFB8FMG",
    "B0F7Z4QZTT",
    "B0DJGDC3BD",
    "B0DXXYS4BJ",
    "B0BZYCJK89",
    "B0CQVWT2NH",
    "B0DF44GN8Y",
    "B0113UZJE2",
    "B0CP9YB3Q4",
    "B08CVV7Z5H",
    "B00S93EQUK"
  ],
  "domain": "com",
  "minRating": 0,
  "verifiedOnly": false,
  "requireText": false,
  "maxReviewsPerProduct": 0,
  "includeProductRow": true,
  "sessions": 4,
  "perIp": 0.5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "asin": {
    "label": "Asin",
    "format": "string"
  },
  "marketplace": {
    "label": "Marketplace",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "brand": {
    "label": "Brand",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "ratings_count": {
    "label": "Ratings count",
    "format": "integer"
  },
  "reviews_visible": {
    "label": "Reviews visible",
    "format": "integer"
  },
  "availability": {
    "label": "Availability",
    "format": "string"
  },
  "url": {
    "label": "Url",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Amazon Reviews Scraper — Customer Reviews & Ratings](https://apify.com/kestrel/amazon-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kestrel/amazon-reviews-scraper.md) 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/kestrel/amazon-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).