# Amazon Product Scraper (`ammar.gh66/amazon-scraper`) Actor

Scrapes Amazon products, prices, and reviews using Crawlee with Apify's residential proxy network for reliable data extraction.

- **URL**: https://apify.com/ammar.gh66/amazon-scraper.md
- **Developed by:** [ammar gh](https://apify.com/ammar.gh66) (community)
- **Categories:** E-commerce, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 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/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 Product Scraper

Scrape products, prices, ratings, and customer reviews from Amazon with just a few clicks.

### What it does

- **Search products** — enter any keyword and get a list of matching products
- **Scrape product details** — get the full product page by ASIN
- **Collect reviews** — grab customer reviews with ratings, dates, and verified-purchase status

### How to use

1. Open this actor in Apify Console
2. Choose what to scrape (search, product, or reviews)
3. Enter your keyword or ASIN
4. Click **Run**
5. Download your results from the **Dataset** tab

### Output

Each result includes: product title, price, rating, review count, image, and product URL.

#### Example product result

```json
{
  "asin": "B09V3KXJPB",
  "title": "Wireless Bluetooth Headphones, Over Ear with Microphone",
  "price": "$49.99",
  "rating": "4.5",
  "reviews_count": "1234",
  "image_url": "https://m.media-amazon.com/images/I/...",
  "product_url": "https://www.amazon.com/dp/B09V3KXJPB"
}
```

#### Example review result

```json
{
  "asin": "B09V3KXJPB",
  "author": "John Doe",
  "rating": "5",
  "title": "Great sound quality",
  "body": "Excellent headphones for the price. Battery lasts all day.",
  "date": "January 15, 2025",
  "verified": true
}
```

### Pricing

- **$0.05** per actor start
- **$0.015** per result

### Multi-region

Choose from 10 countries (US, UK, Germany, France, Japan, Canada, India, Italy, Spain, Australia) to get region-specific Amazon data.

# Actor input Schema

## `scrapeType` (type: `string`):

What do you want to scrape?

## `keyword` (type: `string`):

Keyword to search on Amazon (used when scrape type is 'search').

## `asin` (type: `string`):

Amazon Standard Identification Number (used for 'product' and 'reviews' scrape types). Example: B09V3KXJPB

## `maxPages` (type: `integer`):

Maximum number of pages to scrape.

## `useApifyProxy` (type: `boolean`):

Route requests through Apify's residential proxy network to avoid blocking.

## `proxyCountry` (type: `string`):

Country for the proxy exit node. Amazon shows different content per region.

## Actor input object example

```json
{
  "scrapeType": "search",
  "keyword": "wireless headphones",
  "asin": "B09V3KXJPB",
  "maxPages": 3,
  "useApifyProxy": true,
  "proxyCountry": "US"
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all scraped products and reviews

# 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 = {
    "keyword": "wireless headphones",
    "asin": "B09V3KXJPB"
};

// Run the Actor and wait for it to finish
const run = await client.actor("ammar.gh66/amazon-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 = {
    "keyword": "wireless headphones",
    "asin": "B09V3KXJPB",
}

# Run the Actor and wait for it to finish
run = client.actor("ammar.gh66/amazon-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 '{
  "keyword": "wireless headphones",
  "asin": "B09V3KXJPB"
}' |
apify call ammar.gh66/amazon-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ammar.gh66/amazon-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/p2dGKaPDuzeVd5PAe/builds/bJtwoD4sSgIMFrdeX/openapi.json