# Amazon Review Scraper by ASIN - Ratings & Text

**Use case:** 

Pull review text, star rating and date for any ASIN. Filter by star to read the one-star complaints, which is where product and copy decisions come from.

## Input

```json
{
  "asins": [
    "B00FLYWNYQ"
  ],
  "marketplace": "amazon.com",
  "maxReviewsPerAsin": 10,
  "sortBy": "recent",
  "filterByStar": "all",
  "reviewDepth": "fast",
  "maxConcurrency": 3
}
```

## Output

```json
{
  "asin": {
    "label": "ASIN"
  },
  "type": {
    "label": "Row type"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "title": {
    "label": "Title"
  },
  "body": {
    "label": "Body"
  },
  "verifiedPurchase": {
    "label": "Verified",
    "format": "boolean"
  },
  "reviewerName": {
    "label": "Reviewer"
  },
  "date": {
    "label": "Date"
  },
  "helpfulVotes": {
    "label": "Helpful",
    "format": "number"
  },
  "variant": {
    "label": "Variant"
  },
  "aggregateRating": {
    "label": "Avg rating",
    "format": "number"
  },
  "totalRatings": {
    "label": "Total ratings",
    "format": "number"
  },
  "ratingHistogram": {
    "label": "Star histogram (%)"
  },
  "reviewsCount": {
    "label": "Reviews scraped",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Amazon Review Scraper - Public Reviews & Star Histogram](https://apify.com/renzomacar/amazon-reviews.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/renzomacar/amazon-reviews.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/renzomacar/amazon-reviews.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).
