# Amazon Reviews & Competitor Flaws Scraper (`maarlon/amazon-reviews-competitor-flaws-scraper`) Actor

Extract Amazon customer reviews, filter 1-star critical feedback, and detect competitor product flaws instantly to launch better, winning products.

- **URL**: https://apify.com/maarlon/amazon-reviews-competitor-flaws-scraper.md
- **Developed by:** [Marlon Miller San Roman](https://apify.com/maarlon) (community)
- **Categories:** Lead generation, SEO tools, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.62 / 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/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 & Competitor Flaws Scraper

The ultimate E-commerce intelligence tool. Extract Amazon customer reviews, analyze ratings, and uncover your competitors' biggest product flaws in seconds to launch better, winning products.

***

### 🚀 Why Use This Amazon Scraper?

- **Competitor Flaw Detection:** Filter by "Critical Only" (1, 2, and 3 stars) to instantly discover what customers hate about a competitor's product (e.g., bad sizing, cheap materials, breaking parts).
- **Bulletproof Extraction Engine:** Uses advanced Heuristic NLP to bypass Amazon's DOM obfuscation, guaranteeing clean, complete review titles and texts.
- **Universal Support:** Works with any Amazon domain (`.com`, `.co.uk`, `.es`, `.de`, etc.) just by pasting the URL or ASIN.
- **Ready for AI Analysis:** Export the structured data to CSV or JSON and feed it to ChatGPT/Claude to instantly generate a "Pros & Cons" market report.

***

### 📥 Input Parameters

| Field | Type | Description | Default |
| :--- | :--- | :--- | :--- |
| `productUrlOrAsin` *(required)* | `String` | Any Amazon product URL or 10-character ASIN code (e.g., `B09B8V1LZ3`). | `B09B8V1LZ3` |
| `maxReviews` | `Integer` | Maximum number of reviews to extract. | `15` |
| `reviewFilter` | `Select` | Filter by stars: All Stars, Critical Only, Positive Only, 1-Star Only, or 5-Stars Only. | `All Ratings` |

***

### 📤 Sample Output Data

For every review extracted, you get a clean dataset ready for Google Sheets or CRM:

```json
{
  "rating": 1.0,
  "reviewTitle": "Zipper broke after two days",
  "reviewText": "The bag looks great, but the main zipper completely broke off the second time I used it. Very poor quality control.",
  "verifiedPurchase": true,
  "reviewDate": "Reviewed in the United States on August 15, 2024",
  "reviewerName": "John Doe",
  "asin": "B09B8V1LZ3",
  "productUrl": "https://www.amazon.com/dp/B09B8V1LZ3"
}
```

***

### 💡 Top Use Cases

1. **Amazon FBA Sellers & Dropshippers:** Read 1-star reviews of best-selling products to find ways to improve the product and steal market share.
2. **Sentiment Analysis:** Monitor how customers react to your own newly launched products.
3. **Copywriting & Marketing:** Use the exact words and phrasing customers use in 5-star reviews to write better ads and product descriptions.

# Actor input Schema

## `productUrlOrAsin` (type: `string`):

Enter any Amazon product URL (e.g., https://www.amazon.com/dp/B07ZPKN6YR) or a 10-character ASIN code.

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

Maximum number of customer reviews to extract.

## `reviewFilter` (type: `string`):

Filter reviews by rating. Select 'Critical Only' to detect product flaws and customer complaints.

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

Optional proxy settings to bypass Amazon bot checks when scraping large volumes.

## Actor input object example

```json
{
  "productUrlOrAsin": "https://www.amazon.com/dp/B07ZPKN6YR",
  "maxReviews": 15,
  "reviewFilter": "all_stars",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Dataset containing extracted Amazon customer reviews, star ratings, verified purchase flags, and product flaw insights.

# 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 = {
    "productUrlOrAsin": "https://www.amazon.com/dp/B07ZPKN6YR"
};

// Run the Actor and wait for it to finish
const run = await client.actor("maarlon/amazon-reviews-competitor-flaws-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 = { "productUrlOrAsin": "https://www.amazon.com/dp/B07ZPKN6YR" }

# Run the Actor and wait for it to finish
run = client.actor("maarlon/amazon-reviews-competitor-flaws-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 '{
  "productUrlOrAsin": "https://www.amazon.com/dp/B07ZPKN6YR"
}' |
apify call maarlon/amazon-reviews-competitor-flaws-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,maarlon/amazon-reviews-competitor-flaws-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/hwpv18w967IypCUT3/builds/cUwl2JCFhw1zc0fjF/openapi.json