# Amazon Reviews Scraper (`scrapers_lat/amazon-reviews-scraper`) Actor

Scrape Amazon product reviews at scale. For any ASIN or product URL get review title, star rating, text, reviewer name, date, verified-purchase flag, helpful votes and variant, plus the product's aggregate rating and full 5-star breakdown. Works across Amazon US, UK, DE, ES, MX and more.

- **URL**: https://apify.com/scrapers\_lat/amazon-reviews-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** E-commerce, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.80 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

[![Amazon Reviews Scraper](https://scrapers.lat/banners/amazon-reviews-scraper.png)](https://console.apify.com/actors/rjZUBwnsUkayyd4nU/input)

## Amazon Reviews Scraper

> Extract Amazon customer reviews with star ratings, verified-purchase flags, helpful votes and the full 5-to-1 star breakdown, across 15 Amazon marketplaces

![Apify](https://img.shields.io/badge/Platform-Apify-1CE1CE?logo=apify\&logoColor=white)
![Coverage](https://img.shields.io/badge/Coverage-15%20marketplaces-blue)
![Maintained](https://img.shields.io/badge/Maintained-Yes-brightgreen)
![Output](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20Excel-orange)

<table><tr>
<td align="center"><strong>26 fields</strong><br>per record</td>
<td align="center"><strong>15 marketplaces</strong><br>coverage</td>
<td align="center"><strong>JSON / CSV / Excel</strong><br>output formats</td>
<td align="center"><strong>Updated</strong><br>2026-07-26</td>
</tr></table>

<br>

### What you get

Each record is one customer review of an Amazon product, carrying the review content plus the product's aggregate rating and star breakdown so every row stands on its own.

- **imageUrl**: first customer photo attached to the review, if any
- **reviewTitle**: the headline the reviewer wrote
- **rating**: star rating this reviewer gave, 1 to 5
- **reviewBody**: full review text
- **reviewerName**: display name of the reviewer
- **reviewerProfileUrl**: link to the reviewer's public Amazon profile
- **reviewDate**: review date in YYYY-MM-DD form
- **reviewDateText**: the date exactly as shown on Amazon
- **reviewCountry**: country the review was written in
- **verifiedPurchase**: whether Amazon marked it a Verified Purchase
- **helpfulVotes**: how many shoppers found the review helpful
- **variant**: the product variant reviewed (color, size, configuration)
- **reviewId**: Amazon's unique review identifier
- **reviewUrl**: direct link to the review
- **reviewImagesCount**: number of customer photos on the review
- **asin**: the product's ASIN
- **productTitle**: the product's title
- **productUrl**: the product page URL
- **productRating**: the product's average star rating
- **productRatingsTotal**: total number of ratings on the product
- **ratingStars5Pct**: percentage of ratings that are 5 stars
- **ratingStars4Pct**: percentage of ratings that are 4 stars
- **ratingStars3Pct**: percentage of ratings that are 3 stars
- **ratingStars2Pct**: percentage of ratings that are 2 stars
- **ratingStars1Pct**: percentage of ratings that are 1 star
- **domain**: the Amazon marketplace the review came from
- **reviewImages**: all customer photo URLs attached to the review
- **observedAt**: when this review was last seen by the scraper

### Who is it for

| Use case | Who benefits |
|---|---|
| Track sentiment and complaints on your products | Brand and product managers |
| Compare review quality against competing ASINs | E-commerce and market analysts |
| Build a labeled dataset of reviews and ratings | Data scientists and ML teams |
| Monitor verified-purchase feedback after a launch | DTC and marketplace sellers |
| Summarize the star breakdown across a catalog | Category and pricing teams |

### Frequently Asked Questions

**Which Amazon marketplaces are supported for reviews?**\
Fifteen marketplaces are supported, including amazon.com, amazon.co.uk, amazon.de, amazon.es, amazon.fr, amazon.it, amazon.ca, amazon.com.mx, amazon.com.br, amazon.com.au, amazon.co.jp, amazon.in, amazon.nl, amazon.se and amazon.pl. Pick the marketplace for your ASINs, or pass full product URLs and each keeps its own marketplace.

**How many reviews can I get per product?**\
The scraper returns the customer reviews Amazon publishes on the product page, together with the complete aggregate rating and the 5-to-1 star breakdown for every product. To gather reviews at scale, pass many ASINs or product URLs in one run and raise the Max Reviews cap.

**Can I input several products at once?**\
Yes. Provide a list of ASINs, a list of product URLs, or both, and the run collects reviews for all of them up to your Max Reviews limit. Each review record is tagged with its ASIN and product title.

**Can I filter by star rating or sort the reviews?**\
Yes. Use the star filter to keep only 5, 4, 3, 2 or 1 star reviews, and choose Top reviews to keep Amazon's most-helpful order or Most recent to sort by review date, newest first.

**What happens if a product has no reviews or the ASIN is invalid?**\
The product is skipped without charge and, when an ASIN cannot be found, a single row with an error note is returned so you can see exactly which input failed. Only real review records are billed.

### Example use cases

Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template.

### Related scrapers

Need data from the same space? Here are other scrapers we build and maintain:

- [Amazon Product Price & Reviews Scraper](https://apify.com/scrapers_lat/amazon-product-scraper): products, prices, Buy Box seller, ratings and review counts from Amazon
- [eBay Product Listings Scraper](https://apify.com/scrapers_lat/ebay-scraper): search and item data with prices, conditions and sellers from eBay
- [MercadoLibre Product Scraper](https://apify.com/scrapers_lat/mercadolibre-scraper): products, prices and sellers across MercadoLibre marketplaces in Latin America
- [Falabella Product Scraper](https://apify.com/scrapers_lat/falabella-scraper): products and prices from Falabella across Chile, Peru and Colombia
- [Americanas Product Scraper](https://apify.com/scrapers_lat/americanas-scraper): products, prices and offers from Americanas in Brazil
- [Exito Product Scraper](https://apify.com/scrapers_lat/exito-scraper): products and prices from Exito in Colombia

### More scrapers at scrapers.lat

This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).

***

> This actor is an independent tool and has no affiliation with Amazon. It only accesses data that is publicly available on the platform. Use it in accordance with Amazon's terms of service.

# Actor input Schema

## `maxReviews` (type: `integer`):

Maximum number of reviews to collect across the whole run. Optional.

## `asins` (type: `array`):

One or more Amazon ASINs (the 10 character product IDs, e.g. B09B8V1LZ3). Combined with the marketplace selected below.

## `productUrls` (type: `array`):

Full Amazon product page URLs (any marketplace, e.g. https://www.amazon.com/dp/B09B8V1LZ3 or https://www.amazon.co.uk/dp/...).

## `domain` (type: `string`):

The Amazon marketplace to use for the ASINs above. Product URLs keep their own domain.

## `sortBy` (type: `string`):

Order the collected reviews. 'Top reviews' keeps Amazon's most helpful order; 'Most recent' sorts by review date, newest first.

## `starFilter` (type: `string`):

Keep only reviews with the selected star rating, or all of them.

## Actor input object example

```json
{
  "maxReviews": 50,
  "asins": [
    "B09B8V1LZ3"
  ],
  "domain": "com",
  "sortBy": "top",
  "starFilter": "all"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxReviews": 50,
    "asins": [
        "B09B8V1LZ3"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/amazon-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "maxReviews": 50,
    "asins": ["B09B8V1LZ3"],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/amazon-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxReviews": 50,
  "asins": [
    "B09B8V1LZ3"
  ]
}' |
apify call scrapers_lat/amazon-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapers_lat/amazon-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/rjZUBwnsUkayyd4nU/builds/VtUgktPlleA1UFGqa/openapi.json
