# Amazon Reviews Scraper — Ratings & Text (`crawloop/amazon-reviews-scraper`) Actor

Scrape Amazon review cards from a public product page: star rating, title, text, date, verified purchase, and helpful votes. Product URL or ASIN. curl_cffi HTTP and residential proxy.

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

## Pricing

from $3.00 / 1,000 reviews

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

> **Disclaimer:** Unofficial tool — not affiliated with, sponsored by, or endorsed by Amazon or its affiliates. Data is read from publicly accessible product pages only. No login. You are responsible for complying with applicable law (including GDPR where personal data appears) and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

Scrape **Amazon reviews** from the public product page: **star rating**, **title**, **review text**, **date**, **verified purchase**, and **helpful votes**. Paste a product URL or an ASIN. Built for product research, catalog QA, and reading what buyers wrote on the page Amazon shows without a sign-in.

> **Crawloop Marketplace & E-commerce Suite** — product-page reviews, keyword SERP, Today's Deals, and Best Sellers charts.

| Amazon Reviews Scraper ◄── you are here | [Amazon Search Scraper](https://apify.com/crawloop/amazon-search-scraper) | [Amazon Today's Deals Scraper](https://apify.com/crawloop/amazon-deals-scraper) | [Amazon Best Sellers Scraper](https://apify.com/crawloop/amazon-bestsellers-scraper) |
| :---: | :---: | :---: | :---: |
| Public product-page review cards | Keyword SERP and ASIN cards | Deal price and end time | Category rank charts |

Also see: [Amazon Product Details Scraper](https://apify.com/crawloop/amazon-product-details-scraper) — buy box, bullets, seller, and Best Sellers Rank.

***

### When to use

Use this Actor when you have a product URL or ASIN and need the review cards on that public product page: the words, the stars, whether the purchase was verified, and how many people marked the review helpful.

Use [Amazon Product Details Scraper](https://apify.com/crawloop/amazon-product-details-scraper) for price, bullets, and rank on the same ASIN. Use [Amazon Search Scraper](https://apify.com/crawloop/amazon-search-scraper) to find ASINs from a keyword. Use [Amazon Best Sellers Scraper](https://apify.com/crawloop/amazon-bestsellers-scraper) when you need category rank. Use [Amazon Today's Deals Scraper](https://apify.com/crawloop/amazon-deals-scraper) for deal price and end time.

### Key features

- **Product URL or ASIN** — one product or a short list
- **Review card fields** — rating, title, text, date, verified purchase, helpful votes, variant, images
- **Product context on every row** — product title, average rating, and the review count shown on the page
- **Reviewer name stays off** unless you turn `includeReviewerName` on
- **20+ marketplaces** — US, GB, DE, FR, IT, ES, CA, AU, JP, IN, BR, MX, NL, SE, PL, BE, SA, AE, ZA, IE, SG, TR, EG
- **Fast HTTP** — `curl_cffi` with a residential proxy. No browser

### Input

| Field | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `productUrls` | Array | — | Amazon product page URLs. Marketplace comes from the link |
| `asins` | Array | — | ASINs. Uses `country` |
| `country` | String | `US` | Marketplace for bare ASINs |
| `maxReviews` | Integer | `10` | Max cards saved per product (1–20) |
| `includeReviewerName` | Boolean | `false` | Save the public display name |
| `proxyConfiguration` | Object | Residential | Residential proxy. Country follows the marketplace |

```json
{
  "productUrls": ["https://www.amazon.com/dp/B0CWXNS552"],
  "maxReviews": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

### Output

Each dataset row is one review card.

| Field | Description |
| :--- | :--- |
| `asin` | Product ASIN |
| `productTitle` | Title on the product page |
| `productRating` | Average stars on the product page |
| `productReviewCount` | Review count shown next to that average |
| `reviewId` | Amazon review id |
| `rating` | Stars on this review |
| `title` | Review title |
| `text` | Review text |
| `reviewedAt` | Date as `YYYY-MM-DD` when the English date line parses |
| `verifiedPurchase` | Verified purchase badge |
| `helpfulVotes` | Helpful count, when Amazon shows it |
| `variant` | Format or variation on the card |
| `reviewerName` | Public display name, only if requested |
| `imageUrls` | Images on the card |
| `reviewUrl` | Review URL on the same marketplace |

```json
{
  "source": "amazon_reviews",
  "country": "US",
  "asin": "B0CWXNS552",
  "productTitle": "Apple AirTag",
  "productRating": 4.7,
  "productReviewCount": 59895,
  "rating": 5,
  "title": "Works as expected",
  "text": "Review text from the product page card.",
  "reviewedAt": "2026-08-13",
  "verifiedPurchase": true,
  "helpfulVotes": 4,
  "reviewUrl": "https://www.amazon.com/gp/customer-reviews/R3NGMNN8H0IJ52"
}
```

### Use cases

- Read the public review cards for a SKU before a listing or a sourcing decision
- Pull verified-purchase text for a short ASIN list and export JSON or CSV
- Pair a keyword SERP from Amazon Search with the review cards on the products you keep
- Check the average rating and the words on the page in one row per review

### Integration examples

#### Node.js

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

const client = new ApifyClient({ token: "YOUR_APIFY_TOKEN" });
const run = await client.actor("crawloop/amazon-reviews-scraper").call({
  productUrls: ["https://www.amazon.com/dp/B0CWXNS552"],
  maxReviews: 10,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("crawloop/amazon-reviews-scraper").call(run_input={
    "asins": ["B0CWXNS552"],
    "country": "US",
    "maxReviews": 10,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)
```

#### cURL

```bash
curl "https://api.apify.com/v2/acts/crawloop~amazon-reviews-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d "{\"asins\":[\"B0CWXNS552\"],\"country\":\"US\",\"maxReviews\":10}"
```

### MCP and AI assistants

Use this Actor from AI tools via [Apify MCP](https://docs.apify.com/platform/integrations/mcp). Connect your Apify account, then call this Actor by its Store name.

Example prompts:

- "Run Amazon Reviews Scraper on this Amazon product URL and return rating, title, review text, and verified purchase as JSON."
- "For these ASINs, collect the public review cards and keep only verified purchases with a helpful vote."
- "Find ASINs with Amazon Search Scraper, then read the public review cards with Amazon Reviews Scraper."
- "Run Amazon Product Details Scraper for the buy box, then Amazon Reviews Scraper for the review text on the same ASIN."

### Suite next step

For price, bullets, seller, and Best Sellers Rank on the same ASIN, run [Amazon Product Details Scraper](https://apify.com/crawloop/amazon-product-details-scraper). Start with [Amazon Search Scraper](https://apify.com/crawloop/amazon-search-scraper) when you have a keyword and need ASINs. For rank charts, run [Amazon Best Sellers Scraper](https://apify.com/crawloop/amazon-bestsellers-scraper). For a live discount, run [Amazon Today's Deals Scraper](https://apify.com/crawloop/amazon-deals-scraper).

### FAQ

#### Does this return every review on the ASIN?

It returns the review cards Amazon renders on the public product page. That is the top-reviews block on the page, not the signed-in list of every review. `maxReviews` stops early inside that block. There is no login and no cookie.

#### Which marketplaces work?

The same set as the other Crawloop Amazon Actors: US, GB, DE, FR, IT, ES, CA, AU, JP, IN, BR, MX, NL, SE, PL, BE, SA, AE, ZA, IE, SG, TR, and EG. The English date line becomes `reviewedAt`. Other languages stay in `dateText`.

#### Can I run it on a schedule?

Yes. Each run reads the product page at that moment. It does not store a watermark or send alerts.

# Actor input Schema

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

Amazon product page URLs. The marketplace is taken from each link.

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

Amazon Standard Identification Numbers. Uses the marketplace country below.

## `country` (type: `string`):

Marketplace for ASINs that are not full URLs. Sets the domain and residential proxy country.

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

Stop after this many review cards from the public product page. Amazon renders a short top-reviews block on that page.

## `includeReviewerName` (type: `boolean`):

Save the public display name shown on the review card. Leave off unless you have a reason to store that name.

## `proxyConfiguration` (type: `object`):

Residential proxy is required. Country follows the marketplace.

## Actor input object example

```json
{
  "productUrls": [
    "https://www.amazon.com/dp/B0CWXNS552"
  ],
  "country": "US",
  "maxReviews": 10,
  "includeReviewerName": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Default dataset items.

# 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 = {
    "productUrls": [
        "https://www.amazon.com/dp/B0CWXNS552"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawloop/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 = { "productUrls": ["https://www.amazon.com/dp/B0CWXNS552"] }

# Run the Actor and wait for it to finish
run = client.actor("crawloop/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 '{
  "productUrls": [
    "https://www.amazon.com/dp/B0CWXNS552"
  ]
}' |
apify call crawloop/amazon-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawloop/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/398N7OwlNfKg55Pov/builds/dO0EREfg8ehekAXlT/openapi.json