# Amazon Reviews Scraper: Advanced & Lightning-Fast ⚡ (`neatrat/amazon-reviews-scraper`) Actor

No Login Needed - Updated July 2025. Get thousands of Amazon reviews in seconds! Powerful filters, rich data, instant export.

- **URL**: https://apify.com/neatrat/amazon-reviews-scraper.md
- **Developed by:** [Neatrat](https://apify.com/neatrat) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 271 total users, 4 monthly users, 100.0% runs succeeded, 5 bookmarks
- **User rating**: 1.69 out of 5 stars

## Pricing

$25.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

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

## 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: Advanced & Lightning-Fast ⚡

Effortlessly collect thousands of reviews for any Amazon product (ASIN) with powerful, customizable filters! This Apify actor is designed for professionals, researchers, and brands who need high-quality, targeted review data for market analysis, sentiment research, and product feedback. **No login required!**

***

### 🏆 Key Features

- **No Login Required**: No need to log in to Amazon.
- **No Proxy Required**: We handle proxies for you.
- **No CAPTCHA Solving Required**: All CAPTCHAs are solved for you.
- **Massive Review Collection**: Capture 10,000+ reviews per ASIN by leveraging robust pagination and filtering.
- **Flexible Filtering**:
  - **Sort by**: Most recent, most helpful, or top-rated reviews.
  - **Verified Purchase**: Focus on reviews from verified buyers only.
  - **Star Ratings**: Select specific ratings (e.g., only 5-star or 1-star reviews).
  - **Media Type**: Filter for reviews with images or videos.
  - **Keyword Search**: Extract reviews containing specific keywords (case-insensitive).
  - **Unique Only**: Remove duplicates for a clean dataset.
- **ASIN Array Support**:
  - Pass multiple ASINs as a comma-separated list (e.g., `B00NGV4506,B08N5WRWNW,B07XJ8C8F5`).
  - Region-specific ASINs supported using the format `region:ASIN` (e.g., `de:B00NGV4506,com:B08N5WRWNW`).
- **Comprehensive Review Data**: Get detailed fields including:
  - Review URL, Product URL, ASIN, Brand, Product Title
  - Review Date, Images, Review Score, Reviewer Name & Profile
  - Review Title & Content, Verified status, Variant details, Helpful counts
- **Efficient & Scalable**: Built on Apify's infrastructure for fast, reliable, and large-scale data extraction.
- **Multiple Output Formats**: Download your results as JSON, CSV, or integrate directly into your data pipelines.

***

### 💡 How It Works

1. **Input ASIN**: Enter the Amazon product ASIN you want to analyze.
2. **Configure Filters**: Set your desired filters (ratings, verified, keywords, etc.).
3. **Run the Actor**: Start the scraper and let it collect reviews.
4. **Download Results**: Export your data in your preferred format.

***

### ❓ FAQ

- **Why am I stuck at 100 reviews?**
  Amazon now limits general searches to 10 pages, with 10 reviews each. To fetch more reviews, consider adding general keywords to your search to bypass this limitation.

  ### Here's What's Happening on Page 10

  ![Amazon Review Limit](https://i.imgur.com/Ny3Tr1X.png)

- **So how to scrape more than 100 reviews?**
  Run the scraper multiple times with different keywords each time, setting `pagesToScrape` to 10. For example, use general keywords like "great", "value", "quality", "recommend", "satisfied". Gather 100 such words and run 100 times to get 1000 reviews. A feature to automate this process is coming soon!

***

### 🧩 Input Configuration

Customize your scraping with these parameters:

- **asin** (required): The Amazon Standard Identification Number of the product. You can pass:
  - A single ASIN (e.g., `B00NGV4506`)
  - Multiple ASINs separated by commas (e.g., `B00NGV4506,B08N5WRWNW,B07XJ8C8F5`)
  - Multiple Region-specific ASINs using the format `region:ASIN` (e.g., `de:B00NGV4506,com:B08N5WRWNW`)
- **startPage**: Which review page to start from (default: 1).
- **pagesToScrape**: How many pages to scrape (default: 10, up to 10,000+ reviews possible).
- **keywords**: Use this as a search query to include reviews containing these keywords. This can help you get more than 100 general results by expanding the search scope.
- **sortBy**: Sort reviews by 'top' (helpful) or 'recent'.
- **verifiedPurchase**: 'all' or 'verified' only.
- **ratings**: Select star ratings to include (e.g., \[5], \[1,2,3,4,5]).
- **mediaType**: 'all' or 'with\_media\_only'.
- **maxReviews**: Maximum number of reviews to return (default: 100).
- **endDate**: Only include reviews up to this date (YYYY-MM-DD).
- **recentDays**: Only include reviews from the last N days.
- **uniqueOnly**: Only include unique reviews (by reviewId).

***

### 📦 Example Output

```json
{
  "reviewId": "R1CV8NB96UZ4BP",
  "reviewUrl": "https://www.amazon.com/gp/customer-reviews/R1CV8NB96UZ4BP",
  "rating": 5.0,
  "reviewer": "Andres Polanco",
  "title": "Good phone",
  "date": "2025-03-28",
  "reviewedIn": "United States",
  "body": "The iPhone 11 is excellent. The camera takes high-quality photos, even in low light...",
  "verifiedPurchase": true,
  "userImage": "https://m.media-amazon.com/images/I/51HbwvWaFIL.jpg",
  "reviewImages": [
    "https://m.media-amazon.com/images/I/51HbwvWaFIL.jpg",
    "https://m.media-amazon.com/images/I/51kU1WbmjOL.jpg"
  ],
  "position": 1,
  "variantDetails": ["Size: 128GB", "Color: Black"],
  "variantASIN": "B07ZPKN6YR",
  "helpfulCounts": 1,
  "videoUrl": "https://www.amazon.com/video/review/R1CV8NB96UZ4BP"
}
```

***

### 🏁 Getting Started

1. **Create an Apify Account**: [Sign up here](https://apify.com/sign-up).
2. **Deploy the Actor**: Add this actor to your Apify account.
3. **Input ASIN & Filters**: Enter the ASIN and set your filters.
4. **Run the Actor**: Start scraping reviews.
5. **Download Results**: Export your data in JSON, CSV, or Excel.

***

### 🤝 Support & Feedback

Need help or have suggestions? Reach out via Apify support or leave feedback on the actor's page.

***

### 🏷️ Tags

AmazonScraper, ReviewScraper, MarketResearch, SentimentAnalysis, ProductFeedback, AmazonReviews, DataCollection, Ecommerce, Apify

# Actor input Schema

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

Amazon product ASIN (e.g. B092ZDHJMN)

## `region` (type: `string`):

Amazon region/domain to scrape from

## `startPage` (type: `integer`):

Page number to start scraping from (1 = first page)

## `pagesToScrape` (type: `integer`):

How many pages of reviews to scrape (10 reviews per page)

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

Maximum number of reviews to return (after filtering)

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

Sort reviews by 'top' (most helpful) or 'recent' (most recent)

## `verifiedPurchase` (type: `string`):

Filter for only verified purchase reviews ('all' or 'verified')

## `ratings` (type: `array`):

Which star ratings to include (e.g. \[5], \[4,5], \[1,2,3,4,5])

## `mediaType` (type: `string`):

Filter for reviews with media (images/videos) only or all reviews

## `keywords` (type: `array`):

Only include reviews containing these keywords (in title or body)

## `endDate` (type: `string`):

Only include reviews up to this date (YYYY-MM-DD)

## `recentDays` (type: `integer`):

Only include reviews from the last N days (0 = no limit)

## `uniqueOnly` (type: `boolean`):

Only include unique reviews (by reviewId)

## Actor input object example

```json
{
  "asin": "B092ZDHJMN",
  "region": "com",
  "startPage": 1,
  "pagesToScrape": 10,
  "maxReviews": 100000,
  "sortBy": "top",
  "verifiedPurchase": "all",
  "ratings": [
    4,
    5
  ],
  "mediaType": "all",
  "keywords": [
    "great",
    "bad"
  ],
  "recentDays": 0,
  "uniqueOnly": true
}
```

# 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 = {
    "asin": "B092ZDHJMN",
    "ratings": [
        1,
        2,
        3,
        4,
        5
    ],
    "keywords": [],
    "endDate": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("neatrat/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 = {
    "asin": "B092ZDHJMN",
    "ratings": [
        1,
        2,
        3,
        4,
        5,
    ],
    "keywords": [],
    "endDate": "",
}

# Run the Actor and wait for it to finish
run = client.actor("neatrat/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 '{
  "asin": "B092ZDHJMN",
  "ratings": [
    1,
    2,
    3,
    4,
    5
  ],
  "keywords": [],
  "endDate": ""
}' |
apify call neatrat/amazon-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neatrat/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/KBtAeXw7HKNIx8yJx/builds/6tPGkn6Jhqn2AUOXG/openapi.json