# Amazon Reviews Scraper — Product Ratings & Insights (`junipr/amazon-reviews-scraper`) Actor

Extract public Amazon product reviews, ratings, verified-purchase signals, helpful votes, dates, variants, and review text for ecommerce research.

- **URL**: https://apify.com/junipr/amazon-reviews-scraper.md
- **Developed by:** [junipr](https://apify.com/junipr) (community)
- **Categories:** E-commerce, Lead generation
- **Stats:** 35 total users, 0 monthly users, 24.2% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.50 / 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/platform/actors/running/actors-in-store#pay-per-event

## 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 — Product Ratings & Insights

Extract public Amazon product reviews, ratings, verified-purchase signals, helpful votes, dates, variants, and review text for ecommerce research.

### What this actor does

Extract public Amazon product reviews, ratings, verified-purchase signals, helpful votes, dates, variants, and review text for ecommerce research. The actor is configured for public or user-supplied sources, evidence-backed output rows, capped runs, and KVS summaries for blocked, empty, duplicate, or capped work.

### What you can use it for

- Build repeatable amazon reviews scraper datasets for analysis and automation.
- Export records with source URLs, evidence fields, and run summaries.
- Run buyer-ready tasks for: Scrape reviews from one Amazon product; Export verified-purchase review data; Analyze review ratings by ASIN.

Search-intent terms: amazon reviews scraper, amazon product reviews, ecommerce reviews, product ratings, review mining, marketplace research.

### Inputs

The input schema supports the actor's source fields plus cost and quality controls. Important caps include `asins`, `productUrls`, `maxReviews`, `starFilter`, `verifiedOnly`, `proxyConfiguration`. Public task examples below provide small, safe starting inputs.

### Outputs

Paid dataset rows and paid KVS artifacts are written only after the configured PPE charge succeeds. Rows include source/evidence fields where the actor can determine them and avoid fabricated values.

### Key-value store reports

Every run writes `SUMMARY.md` and `SUMMARY.json`. Diagnostic CSV or JSON reports are used for blocked pages, no-result pages, duplicates, unsupported inputs, and capped runs instead of paid dataset rows.

### Pricing

This actor uses pay-per-event pricing with Apify platform usage included in the event prices. Store discount tiers are configured for FREE, BRONZE, SILVER, and GOLD users.

| Event | Unit | FREE | BRONZE | SILVER | GOLD |
|---|---:|---:|---:|---:|---:|
| `actor-start` | run | $0.05000 | $0.05000 | $0.04500 | $0.04000 |
| `product-page-checked` | page | $0.00980 | $0.00980 | $0.00882 | $0.00784 |

Primary paid output event: `product-page-checked`. Runtime-paid dataset rows and runtime-paid artifacts use this active paid-output event unless a future pricing revision adds an actor-specific artifact boundary with matching code.

### Cost controls and max-charge behavior

Default max charge: $50.00. When the run reaches the max charge or an event-charge limit, it stops gracefully and writes free summary diagnostics without adding unpaid dataset rows.

### Platform usage / proxy / browser / API notes

The configured model is fixed-inclusive PPE: platform usage is included in event prices and the platform-usage pass-through toggle is off. Features that require browser rendering, proxies, provider APIs, or additional fetches are bounded by the input caps and priced through explicit events.

### Reliability notes and limitations

The actor processes public or permissioned inputs only. Blocked pages, login walls, unsupported formats, empty results, and provider errors are recorded as diagnostics. The actor does not fabricate rankings, prices, reviews, sentiment, traffic, compliance status, or private contact data when source evidence is unavailable.

### Example inputs

```json
{
  "asins": [
    "B0D5CRCWXC"
  ],
  "productUrls": [],
  "maxReviews": 25,
  "filterRating": "all",
  "filterVerified": false,
  "sortBy": "recent",
  "dateFrom": "",
  "dateTo": "",
  "searchKeyword": "Scrape reviews from one Amazon product",
  "includeImages": true,
  "includeProductInfo": true,
  "marketplace": "US",
  "language": "auto",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "maxChargeUsd": 10,
  "debugMode": false,
  "saveRawHtmlToKvs": false,
  "requestTimeout": 30000,
  "maxRetries": 1,
  "maxConcurrency": 1,
  "starFilter": "amazon reviews scraper",
  "verifiedOnly": "amazon reviews scraper",
  "sourceMode": "livePublic",
  "suppliedSnapshotHtml": "amazon reviews scraper",
  "suppliedSnapshotJson": "amazon reviews scraper",
  "suppliedSnapshotText": "amazon reviews scraper"
}
```

### Public task examples

- Scrape reviews from one Amazon product: Dataset rows matching the scrape reviews from one amazon product use case, plus SUMMARY.md and SUMMARY.json reports in the key-value store.
- Export verified-purchase review data: Dataset rows matching the export verified-purchase review data use case, plus SUMMARY.md and SUMMARY.json reports in the key-value store.
- Analyze review ratings by ASIN: Dataset rows matching the analyze review ratings by asin use case, plus SUMMARY.md and SUMMARY.json reports in the key-value store.

### Ethical/allowed-use notes

Use this actor only for public data, owned files, or sources you have permission to process. Respect source terms, privacy expectations, robots guidance, and applicable laws. Do not use the actor to collect secrets, bypass access controls, or make unsupported legal, financial, medical, or compliance decisions.

# Actor input Schema

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

Amazon product ASINs to scrape reviews for (e.g. "B0D5CRCWXC"). 10-character alphanumeric identifiers found in Amazon product URLs.

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

Direct Amazon product URLs. The ASIN will be extracted automatically from each URL. Use this instead of ASINs if you already have product links.

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

Maximum number of reviews to extract per product. Amazon caps visible reviews at approximately 500.

## `filterRating` (type: `string`):

Filter reviews by star rating. Use 'positive' for 4-5 stars, 'critical' for 1-3 stars, or a specific star number.

## `filterVerified` (type: `boolean`):

Only extract reviews marked as verified purchases.

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

Sort order for reviews. 'recent' shows newest first, 'helpful' shows most helpful first.

## `dateFrom` (type: `string`):

Only extract reviews after this date (YYYY-MM-DD format). Leave empty for no date filter.

## `dateTo` (type: `string`):

Only extract reviews before this date (YYYY-MM-DD format). Leave empty for no date filter.

## `searchKeyword` (type: `string`):

Search within reviews for a specific keyword or phrase. Only reviews containing the keyword will be returned.

## `includeImages` (type: `boolean`):

Extract image URLs attached to reviews.

## `includeProductInfo` (type: `boolean`):

Include product name, price, and overall rating in each review row.

## `marketplace` (type: `string`):

Amazon marketplace to scrape reviews from. Determines the Amazon domain used.

## `language` (type: `string`):

Review language filter. Set to 'auto' to use the marketplace default language.

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

Residential proxy is required — Amazon blocks datacenter IPs aggressively. Defaults to Apify residential proxy (requires paid Apify plan). Free-plan users can provide their own residential proxy URL.

## `maxChargeUsd` (type: `number`):

Stop before paid output would exceed the configured max charge.

## `debugMode` (type: `boolean`):

Write extra free diagnostics to the key-value store.

## `saveRawHtmlToKvs` (type: `boolean`):

Save raw snapshots as free debug artifacts when enabled.

## `requestTimeout` (type: `integer`):

Maximum time to wait for a request or page load.

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

Maximum retry attempts per source.

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

Maximum concurrent requests. High-risk marketplace and SERP actors default to a low value.

## `starFilter` (type: `string`):

Run setting used to control cost, runtime, and output size.

## `verifiedOnly` (type: `string`):

Run setting used to control cost, runtime, and output size.

## `sourceMode` (type: `string`):

Use public live targets, supplied snapshots, or provider-backed source data when supported.

## `suppliedSnapshotHtml` (type: `string`):

Optional HTML snapshot for deterministic public-data extraction tests or controlled source capture.

## `suppliedSnapshotJson` (type: `string`):

Optional JSON snapshot/provider response for deterministic public-data extraction tests or controlled source capture.

## `suppliedSnapshotText` (type: `string`):

Optional plain text snapshot for text-analysis actors.

## Actor input object example

```json
{
  "asins": [
    "B0D5CRCWXC"
  ],
  "productUrls": [],
  "maxReviews": 3,
  "filterRating": "all",
  "filterVerified": false,
  "sortBy": "recent",
  "dateFrom": "",
  "dateTo": "",
  "searchKeyword": "",
  "includeImages": true,
  "includeProductInfo": true,
  "marketplace": "US",
  "language": "auto",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "maxChargeUsd": 50,
  "debugMode": false,
  "saveRawHtmlToKvs": false,
  "requestTimeout": 30000,
  "maxRetries": 1,
  "maxConcurrency": 1,
  "sourceMode": "livePublic"
}
```

# Actor output Schema

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

Scraped Amazon product reviews with complete review data including ratings, text, images, verified purchase status, and helpful votes.

## `summary` (type: `string`):

Billing, paid row, diagnostic, duplicate, and artifact summary.

## `runStatus` (type: `string`):

Free diagnostic run status, including no-result and blocked-page counters.

## `kvsArtifacts` (type: `string`):

Actor-specific CSV/JSON/Markdown report artifacts.

# 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 = {
    "asins": [
        "B0D5CRCWXC"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("junipr/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 = { "asins": ["B0D5CRCWXC"] }

# Run the Actor and wait for it to finish
run = client.actor("junipr/amazon-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "asins": [
    "B0D5CRCWXC"
  ]
}' |
apify call junipr/amazon-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=junipr/amazon-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/NM04Jubegch8tdfx7/builds/4dC1RFujVZSFg1tKl/openapi.json
