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

Scrape Amazon product reviews — rating, title, body, author, date, verified-purchase and helpful votes — via rotating residential proxy. One record per review. Actively maintained. · More no-code data tools → datatools-hub.vercel.app

- **URL**: https://apify.com/fuze/amazon-reviews-scraper.md
- **Developed by:** [Fredrik Hansson](https://apify.com/fuze) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.50 / 1,000 review scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 Reviews Scraper — Bulk Product Reviews to CSV & JSON

Scrape **Amazon product reviews in bulk** and export them to **CSV or JSON** — rating, title, body, author, date, verified-purchase badge and helpful votes. Works across Amazon marketplaces. A reliable alternative to the Amazon Product Advertising API for review data.

![Amazon Reviews Scraper — input and sample output](https://datatools-hub.vercel.app/actor-shots/amazon-reviews-scraper.png)

### Quick start

1. **Fill in the input** — set the fields in the input tab (prefilled with a working example).
2. **Click Start** — the Actor runs and writes one record per item to the dataset.
3. **Get your data** — export to **JSON, CSV or Excel**, or pull it via the API.

### What you get

Per review: `rating`, `title`, `body`, `author`, `date`, `verifiedPurchase`, `helpfulVotes`, `reviewUrl`, `productAsin`, `marketplace`, `scrapedAt`.

- Export to **CSV or JSON**
- Works on **US, UK, DE, FR, IT, ES, CA, AU** and more
- Filter by star rating; paginate deep into a product's review history

### Example

**Input**

```json
{ "productUrls": ["https://www.amazon.com/dp/B08N5WRWNW"], "maxReviews": 500 }
```

**Output**

```json
{
  "productAsin": "B08N5WRWNW",
  "marketplace": "US",
  "rating": 5,
  "title": "Exactly what I needed",
  "body": "Works great, fast delivery ...",
  "author": "J. Smith",
  "date": "2026-09-14",
  "verifiedPurchase": true,
  "helpfulVotes": 12,
  "reviewUrl": "https://www.amazon.com/gp/customer-reviews/...",
  "scrapedAt": "2026-10-07T12:00:00.000Z"
}
```

### Use cases

- **Product & market research** — mine reviews for pains, feature requests and objections.
- **Review monitoring** — track rating and sentiment over time for your products or competitors'.
- **AI training data** — clean, structured review text for sentiment and classification models.

### Amazon PA-API alternative

No Associate account, no API keys, no approval process. Paste product URLs and get full review text — including fields the official API does not return.

### Pricing

**$4 per 1,000 reviews** ($0.004 each). You are only charged for reviews actually delivered.

### FAQ

**Does it need an Amazon login or API key?** No.
**Which marketplaces?** US, UK, DE, FR, IT, ES, CA, AU and more — set the product URL or marketplace.
**Can I get historical reviews?** Yes — paginate with `maxReviews`.
**What fields?** Rating, title, body, author, date, verified-purchase badge and helpful votes.

### Settings

- **productUrls** / **asins** — products to scrape.
- **marketplace** — target Amazon domain.
- **maxReviews** — cap per product.
- **minRating / maxRating** — optional star filter.

### Related actors

- [Etsy Scraper](https://apify.com/fuze/etsy-scraper) — Scrape Etsy search results — title, price, shop, rating, reviews, image and URL — to
- [Google Reviews Insights (AI)](https://apify.com/fuze/google-reviews-insights) — Turns Google reviews into concrete insights for a business and its competitors: top
- [Google News Scraper](https://apify.com/fuze/google-news-scraper) — Search Google News for any topic and get the latest articles — title, source, date, link

### Example output

```json
{
  "reviewId": "RIKJK7KCB0W2H",
  "author": "Mr. and Mrs. Ortego",
  "rating": 5,
  "title": "My 13 year old son likes it",
  "body": "It functions like new. He has a magsafe case he uses to charge on a magsafe stand. He said its smooth, operates well. No lag. Sounds good.…",
  "date": "September 9, 2026",
  "location": "the United States",
  "verifiedPurchase": true,
  "…": "…"
}
```

# Actor input Schema

## `urls` (type: `array`):

Amazon product or review-page URLs (one per line), e.g. https://www.amazon.com/dp/B07PGL2ZSL

## `maxReviewsPerProduct` (type: `integer`):

Maximum reviews to keep per URL. One pay-per-event charge per review delivered.

## `proxyCountry` (type: `string`):

ISO country code for the residential proxy exit (US, GB, DE, SE, …). Match the Amazon domain.

## `maxConcurrency` (type: `integer`):

How many URLs to process in parallel.

## `maxRetries` (type: `integer`):

How many times to rotate proxy and retry when Amazon serves a CAPTCHA.

## Actor input object example

```json
{
  "urls": [
    "https://www.amazon.com/dp/B07ZPKBL9V"
  ],
  "maxReviewsPerProduct": 10,
  "proxyCountry": "US",
  "maxConcurrency": 3,
  "maxRetries": 4
}
```

# Actor output Schema

## `items` (type: `string`):

All records in the default dataset.

# 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 = {
    "urls": [
        "https://www.amazon.com/dp/B07ZPKBL9V"
    ],
    "maxReviewsPerProduct": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("fuze/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 = {
    "urls": ["https://www.amazon.com/dp/B07ZPKBL9V"],
    "maxReviewsPerProduct": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("fuze/amazon-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 '{
  "urls": [
    "https://www.amazon.com/dp/B07ZPKBL9V"
  ],
  "maxReviewsPerProduct": 10
}' |
apify call fuze/amazon-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fuze/amazon-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/ng6JDkb6shWdXn2vs/builds/cHxTXHmGZioZWYpOJ/openapi.json