# Amazon Reviews Scraper (`bgfc97/amazon-reviews-scraper`) Actor

- **URL**: https://apify.com/bgfc97/amazon-reviews-scraper.md
- **Developed by:** [Bruno](https://apify.com/bgfc97) (community)
- **Categories:** E-commerce, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.90 / 1,000 review scrapeds

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 Reviews Scraper

**Scrape Amazon product reviews** by product URL or **ASIN** — fast, clean and cheap. This **Amazon review scraper** extracts every field you need (star rating, title, full review text, author, date, verified-purchase badge, helpful votes and the purchased variant) and exports to **JSON, CSV or Excel**. Perfect for **product research, review monitoring, sentiment analysis, competitor tracking and AI/LLM training data**.

- 🛒 Input Amazon **product URLs and/or ASINs** (mix both)
- 🌍 Works across marketplaces: **amazon.com, amazon.co.uk, amazon.de, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.co.jp, amazon.in** and more
- ⭐ Full review data: **rating, title, text, author, date, verified purchase, helpful votes, variant**
- 📅 **FREE date filter** — keep only reviews newer than a date (the popular competitor charges extra for filtering)
- 💸 **$0.0019 per review** and **no per-run minimum** (a well-known alternative charges $0.006/review with a $0.50 minimum)
- 🔒 Residential proxy built in for reliable extraction — no cookies or login required

> **What it returns:** the product's publicly listed reviews (Amazon's top most-recent / most-helpful reviews, typically ~8-10 per product shown to anonymous visitors). Amazon sign-in walls the full paginated list, so no scraper can read every review without an account — this Actor grabs the public ones cleanly and cheaply, with every field parsed.

### Why this scraper

| | This Actor | Typical competitor |
|---|---|---|
| Price per review | **$0.0019** | $0.006 |
| Minimum per run | **none** | $0.50 |
| Date filtering | **free** | paid add-on |
| Output | clean, flat, ready for CSV/Excel | — |

### Input

| Field | Type | Description |
|---|---|---|
| `startUrls` | array | Amazon product URLs (ASIN auto-detected). Use this and/or `asins`. |
| `asins` | array | 10-character ASIN strings, e.g. `B07PGL2N7J`. |
| `country` | string | Marketplace: `US` (default), `UK`, `DE`, `FR`, `IT`, `ES`, `CA`, `JP`, `IN`, `MX`, `BR`, `AU`, `NL`, … |
| `maxReviews` | integer | Max reviews per product (default `100`). |
| `sortBy` | string | `recent` (default) or `helpful`. |
| `dateNewerThan` | string | Optional ISO date, e.g. `2024-01-01`. Keeps only reviews on/after it. Free. |

#### Example input

```json
{
  "startUrls": ["https://www.amazon.com/dp/B07PGL2N7J"],
  "asins": ["B09G9FPHY6"],
  "country": "US",
  "maxReviews": 100,
  "sortBy": "recent",
  "dateNewerThan": "2024-01-01"
}
```

### Output

One dataset item per review:

```json
{
  "productAsin": "B07PGL2N7J",
  "productUrl": "https://www.amazon.com/dp/B07PGL2N7J",
  "reviewId": "R2EXAMPLEID123",
  "title": "Works great, highly recommend",
  "text": "I have used this for three months and it still works perfectly...",
  "rating": 5,
  "author": "Jane D.",
  "date": "2024-05-12",
  "verifiedPurchase": true,
  "helpfulVotes": 14,
  "variant": "Color: Black | Size: Large",
  "country": "United States"
}
```

Export the dataset as **JSON, CSV, Excel, XML or HTML** from the run's Storage tab, or via the Apify API.

### Tips

- Amazon has strong anti-bot protection, so this Actor uses **residential proxy** automatically and crawls politely. If a product returns 0 reviews, re-run it — a fresh proxy session usually succeeds.
- You only pay **per review actually returned** — never for empty results, and there's **no minimum per run**.
- Pass many `startUrls`/`asins` at once to pull the public reviews for a whole catalog in one run.
- Use `dateNewerThan` to keep only recent reviews for free — great for ongoing review monitoring and sentiment tracking.

### ⭐ Enjoying this Actor?

If it saved you time, please leave an **honest review** — it helps us a lot. Found a bug or want a feature? **Open an Issue** and we'll jump on it fast.

# Actor input Schema

## `startUrls` (type: `array`):

List of Amazon product URLs (e.g. https://www.amazon.com/dp/B07PGL2N7J). The ASIN is detected automatically. Use this and/or the ASINs field.

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

List of 10-character Amazon ASINs (e.g. B07PGL2N7J). Alternative to product URLs.

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

Which Amazon marketplace to scrape (maps to the right domain, e.g. US -> amazon.com, UK -> amazon.co.uk, DE -> amazon.de).

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

Cap on reviews returned per product. Amazon exposes its top (most recent / most helpful) reviews publicly — typically ~8-10 per product without login — and this Actor collects those. Lower this when you only need a sample from many products.

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

Order reviews by most recent or most helpful.

## `dateNewerThan` (type: `string`):

Keep only reviews on or after this date (ISO, e.g. 2024-01-01). FREE — no extra charge. Works best with sort = Most recent, where the Actor stops early once it passes the window.

## Actor input object example

```json
{
  "startUrls": [
    "https://www.amazon.com/dp/B07PGL2N7J"
  ],
  "country": "US",
  "maxReviews": 100,
  "sortBy": "recent"
}
```

# Actor output Schema

# 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 = {
    "startUrls": [
        "https://www.amazon.com/dp/B07PGL2N7J"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("bgfc97/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 = { "startUrls": ["https://www.amazon.com/dp/B07PGL2N7J"] }

# Run the Actor and wait for it to finish
run = client.actor("bgfc97/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 '{
  "startUrls": [
    "https://www.amazon.com/dp/B07PGL2N7J"
  ]
}' |
apify call bgfc97/amazon-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bgfc97/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/KrCDjuNxNORU0tCgf/builds/I4tVQ6QCcVDduZf4M/openapi.json