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

Extract customer reviews from Amazon products, including review text, star ratings, helpful vote counts, verified purchase indicators, and reviewer details.

- **URL**: https://apify.com/scrapeai/amazon-reviews-scraper.md
- **Developed by:** [ScrapeAI](https://apify.com/scrapeai) (community)
- **Categories:** E-commerce, Developer tools, Automation
- **Features:** Limited permissions
- **Stats:** 13 total users, 5 monthly users, 85.7% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $2.49 / 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 India public reviews

Reads actual customer review cards from Amazon.in product pages, then tries the dedicated reviews route when the per-product target remains unmet. Dedicated reviews can require sign-in; this Actor does not provide login access or bypass that requirement. It never pads reviews with product descriptions or search snippets.

### Input

`productUrls` is required and accepts HTTPS Amazon.in product/review URLs (strings or url objects). ASINs are validated, product URLs normalized and duplicate products removed. Other marketplaces must use their own supported adapter. `maxReviewsPerProduct` is 1–50 (default 10); optional `maxItems` caps all products combined. If maxItems is absent, the total cap is per-product maximum times the number of supplied products.

`proxyConfiguration` accepts Apify or custom proxies; the sample uses datacenter. One browser page at a time and bounded navigation/retries reduce duplicate work. Anonymous product pages often expose fewer than ten reviews per product. The ten-record sample requests two real products; it does not claim ten available public reviews for every individual product.

### Output

Records retain source-native reviewId, available title/body/rating/reviewer/date/images/helpful votes and product context. reviewUrl points to the original review. sourceUrl records the actually observed page and scrapedAt is retrieval time, not publication time. Only an observed verified-purchase badge emits verifiedPurchase=true; absence is omitted. Unknown names, counts, rating and flags are omitted rather than invented. Zero counts are preserved only if displayed by the source.

Reviews require a native ID and actual review text/title. IDs deduplicate across pages. Product rating counts (totalRatings) remain separate from explicit review counts (totalReviews). Source card HTML is saved in run key-value storage for inspection. RUN_SUMMARY gives per-product counts and access errors. Partial datasets are reported as partial by the audit; zero-review runs fail.

### Run and export

Use `apify run --input-file input.json` locally. Inspect the default Dataset and RUN_SUMMARY before requesting larger limits. Export JSON/CSV from Apify after a production run. Data availability depends on the source; compute and configured proxy usage are billed by the platform.

The source can pool reviews across product variants. productAsin is the requested product, while reviewedAsin preserves the native card ASIN when exposed. Review URLs use actual source links when available. Both current reviewTitle/reviewRichContentContainer markup and older review-title/review-body markup are supported.

# Changelog

This Actor's version history is a separate document: https://apify.com/scrapeai/amazon-reviews-scraper/changelog.md

# Actor input Schema

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

Array of Amazon India product URLs to scrape reviews from. ASIN is extracted automatically from the URL.

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

Maximum number of reviews to scrape per product. Note: Due to Amazon.in restrictions, only ~6-10 top reviews are available on the product page without login.

## `headless` (type: `boolean`):

Run browser in headless mode (no visible UI). Set to false for debugging.

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

Use Apify Proxy or custom HTTP proxy to avoid IP blocking. Residential proxies with India country are recommended.

## `maxItems` (type: `integer`):

Optional total across all product URLs. When omitted, each product can return up to maxReviewsPerProduct.

## Actor input object example

```json
{
  "productUrls": [
    "https://www.amazon.in/dp/B0DGJ6FKJN"
  ],
  "maxReviewsPerProduct": 10,
  "headless": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}
```

# 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.in/dp/B0DGJ6FKJN"
    ],
    "maxReviewsPerProduct": 10,
    "headless": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeai/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.in/dp/B0DGJ6FKJN"],
    "maxReviewsPerProduct": 10,
    "headless": True,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapeai/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.in/dp/B0DGJ6FKJN"
  ],
  "maxReviewsPerProduct": 10,
  "headless": true
}' |
apify call scrapeai/amazon-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapeai/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/TcWrsNZq6DeRxsaaD/builds/PJIn7ewKMCxaRPaKb/openapi.json