# 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
- **Features:** Limited permissions
- **Stats:** 14 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# 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(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": [
    "https://www.amazon.com/dp/B0CHX3QBCH"
  ],
  "searchKeywords": [
    "wireless headphones"
  ]
}' |
apify call pear_fight/amazon-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pear_fight/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/eLHdgHCUqQUd5Y0Qh/builds/TfO6CMqNBear0VaG3/openapi.json