# Amazon Reviews Scraper — Honest Scope, No Fake Blanks (`alaudinburki/amazon-reviews-honest`) Actor

Scrape the reviews Amazon serves on the product page (top reviews, rating and star histogram) with per-page accounting. Blocked pages are reported as blocked, never returned as zero reviews.

- **URL**: https://apify.com/alaudinburki/amazon-reviews-honest.md
- **Developed by:** [alaudin burki](https://apify.com/alaudinburki) (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 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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 — Honest Scope, No Fake Blanks

Scrape the reviews Amazon serves on the product page (top reviews, rating and star histogram) with per-page accounting. Blocked pages are reported as blocked, never returned as zero reviews.

Built reliability-first: **every row reports what was found and what was missing** — you never get a
silent blank, and a run summary tells you exactly what happened.

### What you get

Returns one clean, structured row per result. Every row reports its own status so you never get a silent blank.

### How to use it

1. Fill in the input (see the example below).
2. Run it once for a snapshot, or **schedule it** to keep the data fresh.
3. Export to CSV/JSON/Excel, or push straight to Google Sheets, Notion, Airtable, Zapier, Make, or n8n.

### Input

```json
{
  "productUrls": [
    {
      "url": "https://www.amazon.com/dp/B08N5WRWNW"
    }
  ],
  "sortBy": "recent",
  "maxReviewPages": 1,
  "verifiedOnly": false,
  "includeSummary": true,
  "useResidentialProxy": false,
  "maxConcurrency": 5,
  "maxItems": 500
}
```

### Sample output

```json
[
{
  "result": "example",
  "status": "ok",
  "scrapedAt": "2026-09-03T09:00:00.000Z"
}
]
```

### Typical uses

- **Product research** — pull the top reviews + star histogram for a set of ASINs.
- **1-star triage** — set `minStars`/`maxStars` to 1 to read only the complaints.
- **Cross-market** — same ASIN across `amazon.com`, `.co.uk`, `.de` with per-country context.

### Pricing

**$3.00 / 1,000 results** (`$0.003` per result), plus a near-zero start fee. You are **never charged beyond your limit**, and blocked or
failed items are reported honestly — not billed as data.

### FAQ & limitations

- **A session cookie is required for review text.** Amazon login-walls review pages; no
  logged-out scraper can return review bodies in 2026, and this Actor reports the wall
  (`login_required`) rather than faking blanks. With a cookie it works reliably.
- Pages 2+ may still hit a wall depending on your session; each page's status is reported.
- Amazon throttles aggressively; enable the residential proxy if you see `rate_limited` in
  `META.blocked`.
- Review layouts vary by marketplace; the extractor tries several and takes the most
  complete, but a brand-new layout may reduce fields (reported, never faked).
- Cookies expire — refresh the cookie when you start seeing `login_required` again.
- **Integrations:** output works with Zapier, Make, n8n, and any webhook via Apify's integrations.
- **Formats:** results export as JSON, CSV, Excel, or HTML from the dataset.

### Related actors

- **Amazon Reviews (Honest)**
- **eBay Sold Listings**
- **Shopify Product Scraper**

# Actor input Schema

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

Product pages to read reviews from (with /dp/ASIN). One per line.

## `minStars` (type: `integer`):

Keep only reviews at or above this rating (1-5). Leave empty for all.

## `maxStars` (type: `integer`):

Keep only reviews at or below this rating (1-5). Set both min and max to 1 to get only 1-star reviews.

## `sessionCookie` (type: `string`):

Amazon login-walls review pages in 2026. To fetch actual review text, paste your Amazon cookie string (from your browser's DevTools → Network → any amazon.com request → Cookie header) while signed in. Without it you'll get the rating summary and a login\_required status instead of review text. Stored as a secret.

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

recent (newest first) or helpful (most helpful first).

## `maxReviewPages` (type: `integer`):

How many review pages to fetch per product. Page 1 is served without login (~10 reviews); pages 2+ usually hit Amazon's login wall (reported as login\_required, not faked). Default 1.

## `verifiedOnly` (type: `boolean`):

Keep only reviews marked Verified Purchase.

## `includeSummary` (type: `boolean`):

Add one row per product with the overall rating, total ratings, and star histogram — so a product is never a silent blank even if reviews are login-gated.

## `useResidentialProxy` (type: `boolean`):

Turn on if pages get blocked. Costs more but gets through Amazon's throttling.

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

Higher is faster but more likely to be throttled.

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

Hard limit on rows (reviews + summaries). Strictly enforced — never charged beyond it.

## Actor input object example

```json
{
  "productUrls": [
    {
      "url": "https://www.amazon.com/dp/B08N5WRWNW"
    }
  ],
  "sortBy": "recent",
  "maxReviewPages": 1,
  "verifiedOnly": false,
  "includeSummary": true,
  "useResidentialProxy": false,
  "maxConcurrency": 5,
  "maxItems": 500
}
```

# Actor output Schema

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

The dataset of results produced by this run.

# 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": [
        {
            "url": "https://www.amazon.com/dp/B08N5WRWNW"
        }
    ],
    "sortBy": "recent",
    "maxReviewPages": 1,
    "maxConcurrency": 5,
    "maxItems": 500
};

// Run the Actor and wait for it to finish
const run = await client.actor("alaudinburki/amazon-reviews-honest").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": [{ "url": "https://www.amazon.com/dp/B08N5WRWNW" }],
    "sortBy": "recent",
    "maxReviewPages": 1,
    "maxConcurrency": 5,
    "maxItems": 500,
}

# Run the Actor and wait for it to finish
run = client.actor("alaudinburki/amazon-reviews-honest").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": [
    {
      "url": "https://www.amazon.com/dp/B08N5WRWNW"
    }
  ],
  "sortBy": "recent",
  "maxReviewPages": 1,
  "maxConcurrency": 5,
  "maxItems": 500
}' |
apify call alaudinburki/amazon-reviews-honest --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,alaudinburki/amazon-reviews-honest"
        }
    }
}

```

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/N0Y48L5cW5zKsq3SE/builds/fdO8NfpMwfa1gfiTe/openapi.json