# Amazon Product Reviews Scraper (`powerai/amazon-product-reviews-scraper`) Actor

Powerful Amazon product reviews scraper that automatically extracts reviews with comprehensive metadata. Includes star rating filters, media-only options, and detailed review information with automatic rate limit handling.

- **URL**: https://apify.com/powerai/amazon-product-reviews-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** E-commerce, Integrations, Other
- **Stats:** 57 total users, 28 monthly users, 0.0% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $4.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 📝 Amazon Product Reviews Scraper

Extract detailed product reviews from Amazon with comprehensive metadata! This powerful tool helps you analyze customer feedback, including ratings, text, media, and more.

### ✨ Key Features

- 📥 Get detailed product reviews with flexible filters
- 📊 Get comprehensive review metadata including:
  - Review titles and content
  - Star ratings
  - Review dates
  - Author information
  - Media attachments (images/videos)
  - Helpful votes
  - Verified purchase status
  - Product variations
- 🔗 Generate direct URLs for:
  - Review pages
  - Author profiles
- 📈 Support for large result sets with automatic pagination
- 📋 Clean and structured JSON output

### 💪 Why Choose This Actor?

- **Comprehensive**: Get all review details including media
- **Flexible**: Multiple filtering options
- **Efficient**: Automatic pagination for large result sets
- **Structured**: Clean JSON output for easy integration
- **Reliable**: Stable and consistent data extraction
- **User-Friendly**: Simple input parameters

### 🎯 Perfect For

- 📊 Market Researchers
- 🛒 E-commerce Managers
- 💼 Business Analysts
- 📈 Sentiment Analysis
- 🏪 Store Managers
- Product Research

### 📈 Use Cases

1. **Sentiment Analysis**: Analyze customer feedback
2. **Quality Control**: Monitor product issues
3. **Competitor Analysis**: Compare customer satisfaction
4. **Product Research**: Understand customer needs
5. **Marketing Strategy**: Identify product strengths

### 📈 Input Requirements

The actor accepts the following input parameters:

- `asin` (required): Amazon product ASIN
- `maxResults` (optional): Maximum number of reviews to extract
- `geo` (optional): Country code for results. Supported countries:
  - US: United States
  - CA: Canada
  - DE: Germany
  - MX: Mexico
  - UK: United Kingdom
  - FR: France
  - IT: Italy
  - ES: Spain
  - AU: Australia
  - BR: Brazil
  - IN: India
  - JP: Japan
  - NL: Netherlands
  - AE: United Arab Emirates
  - PL: Poland
  - SA: Saudi Arabia
  - SG: Singapore
  - SE: Sweden
  - TR: Turkey
  - BE: Belgium
- `filter_by_star` (optional): Filter reviews by star rating (1-5)
- `media_reviews_only` (optional): Only include reviews with media (images/videos)

#### Input Example

```json
{
  "asin": "B0DYDZ231X",
  "maxResults": 15,
  "geo": "US"
}
```

#### Output Example

```json
[
  {
    "author": "Andrey",
    "body": "Looks simple and clean, I like the white color. I expected it to be bulky because of the huge capacity, but it’s actually pretty compact and lightweight for 56800mAh. The digital percentage display is super handy — you always know exactly how much charge is left. It charges devices fast and supports dual charging with two outputs and USB-C. I tested it and the battery lasts a really long time. Perfect for travel or emergencies. The cable that comes with it is basic, but does the job. Only downside — the case feels a little cheap, but for this price and capacity, that’s not a real issue. Overall, very satisfied and would recommend.",
    "date": "Reviewed in the United States on May 6, 2025",
    "rating": "5.0 out of 5 stars",
    "review_id": "R1Y9ARHCC4IN0O",
    "title": "5 stars — Great power bank, lightweight and works well",
    "verified_purchase": true,
    "scrapedAt": "2025-05-16T06:50:08.034Z"
  },
  ...
]
```

# Actor input Schema

## `asin` (type: `string`):

Amazon product ASIN

## `maxResults` (type: `integer`):

Maximum number of reviews to extract

## `geo` (type: `string`):

Country code for results

## `filter_by_star` (type: `integer`):

Filter reviews by star rating (1-5)

## `media_reviews_only` (type: `boolean`):

Only include reviews with media (images/videos)

## Actor input object example

```json
{
  "asin": "B0DYDZ231X",
  "maxResults": 7,
  "geo": "US",
  "media_reviews_only": false
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/amazon-product-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 = {}

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

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

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

```

## CLI example

```bash
echo '{}' |
apify call powerai/amazon-product-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerai/amazon-product-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Bs3iYHXO02kQ1jC9O/builds/1f4h0He7YfmZy9vcM/openapi.json