# Amazon Scraper - Products, Prices & Reviews (`pear_fight/amazon-scraper`) Actor

Scrape Amazon products by keyword or product URL. Extract title, price, rating, review count, availability, ASIN & product image. No login required. Pay per result. Export JSON/CSV/Excel.

- **URL**: https://apify.com/pear\_fight/amazon-scraper.md
- **Developed by:** [Harald](https://apify.com/pear_fight) (community)
- **Categories:** E-commerce
- **Stats:** 7 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.55 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Amazon product data at scale. Extract detailed product information from direct URLs or search keywords — titles, prices, ratings, reviews, availability, images, and ASINs.

### Features

- **Product URLs** — Scrape specific Amazon product pages directly
- **Search Keywords** — Search Amazon and scrape all matching products with automatic pagination
- **10 Amazon Domains** — US, UK, DE, FR, IT, ES, CA, JP, IN, AU
- **Residential Proxies** — Uses Apify residential proxy group to avoid blocks
- **Structured Output** — Clean JSON with all key product attributes

### Input

| Field | Type | Description | Default |
|-------|------|-------------|---------|
| `productUrls` | string\[] | Amazon product page URLs | `[]` |
| `searchKeywords` | string\[] | Search terms to find products | `[]` |
| `maxResults` | integer | Max products to scrape (0 = unlimited) | `50` |
| `maxSearchPages` | integer | Max search pages per keyword | `5` |
| `amazonDomain` | string | Amazon domain (e.g., `www.amazon.com`) | `www.amazon.com` |

#### Example Input

```json
{
  "productUrls": [
    "https://www.amazon.com/dp/B0CHX3QBCH"
  ],
  "searchKeywords": [
    "wireless headphones",
    "usb-c hub"
  ],
  "maxResults": 100,
  "maxSearchPages": 3,
  "amazonDomain": "www.amazon.com"
}
```

### Output

Each product is stored as a JSON object:

```json
{
  "title": "Sony WH-1000XM5 Wireless Noise Canceling Headphones",
  "price": "$278.00",
  "rating": 4.6,
  "reviewCount": 12847,
  "availability": "In Stock",
  "imageUrl": "https://m.media-amazon.com/images/I/51aX235kGKL._AC_SL1500_.jpg",
  "asin": "B0CHX3QBCH",
  "url": "https://www.amazon.com/dp/B0CHX3QBCH"
}
```

#### Output Fields

| Field | Type | Description |
|-------|------|-------------|
| `title` | string | Product title |
| `price` | string | Price including currency symbol |
| `rating` | number | Star rating (1.0–5.0) |
| `reviewCount` | number | Total number of reviews |
| `availability` | string | Stock status text |
| `imageUrl` | string | Main product image URL |
| `asin` | string | Amazon Standard Identification Number |
| `url` | string | Clean product page URL |

### Pricing

This actor uses **residential proxies** which consume Apify platform credits. Estimated cost:

- \~$0.50 per 1,000 product pages (varies by proxy usage and retries)
- Search pages count as additional requests

### Tips

- Use `maxResults` to control costs on broad searches
- Direct product URLs are faster and cheaper than search
- Increase `maxSearchPages` for comprehensive keyword coverage
- Some fields may be `null` if Amazon changes page layout or the product page is unusual

### Legal Notice

This actor is provided for educational and research purposes. Ensure your use complies with Amazon's Terms of Service and applicable laws.

# Actor input Schema

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

List of Amazon product page URLs to scrape.

## `searchKeywords` (type: `array`):

List of search keywords. The actor will scrape product results from Amazon search.

## `maxResults` (type: `integer`):

Maximum number of products to scrape. Set 0 for unlimited.

## `maxSearchPages` (type: `integer`):

Maximum number of search result pages to paginate through per keyword.

## `amazonDomain` (type: `string`):

Amazon domain to use.

## Actor input object example

```json
{
  "productUrls": [
    "https://www.amazon.com/dp/B0CHX3QBCH"
  ],
  "searchKeywords": [
    "wireless headphones"
  ],
  "maxResults": 50,
  "maxSearchPages": 5,
  "amazonDomain": "www.amazon.com"
}
```

# 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.com/dp/B0CHX3QBCH"
    ],
    "searchKeywords": [
        "wireless headphones"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("pear_fight/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 = {
    "productUrls": ["https://www.amazon.com/dp/B0CHX3QBCH"],
    "searchKeywords": ["wireless headphones"],
}

# Run the Actor and wait for it to finish
run = client.actor("pear_fight/amazon-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 '{
  "productUrls": [
    "https://www.amazon.com/dp/B0CHX3QBCH"
  ],
  "searchKeywords": [
    "wireless headphones"
  ]
}' |
apify call pear_fight/amazon-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/eLHdgHCUqQUd5Y0Qh/builds/TfO6CMqNBear0VaG3/openapi.json