# Amazon Product Scraper (`hermesexp/amazon-product-scraper`) Actor

Scrape Amazon product details, prices, ratings, and reviews. Supports US, UK, DE, FR, IT, ES, CA, JP, and more country domains with reliable extraction.

- **URL**: https://apify.com/hermesexp/amazon-product-scraper.md
- **Developed by:** [Dima Radov](https://apify.com/hermesexp) (community)
- **Categories:** Marketing, Social media
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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

Scrapes Amazon product details including title, price, rating, reviews count, and features.

### Features

- **Direct URL scraping** — pass Amazon product page URLs
- **Search-based scraping** — pass search terms to find and scrape products
- **Multi-country support** — scrape from 15+ Amazon domains (com, co.uk, de, fr, ca, jp, etc.)
- **Configurable limits** — control how many products to scrape per run

### Input

| Field | Type | Description |
|-------|------|-------------|
| `productUrls` | array of strings | Direct Amazon product page URLs |
| `searchTerms` | array of strings | Search terms to find products |
| `maxResults` | integer | Max products when using search terms (default: 10, max: 100) |
| `country` | string | Amazon domain country code (default: `com`) |

### Output

Each result is a dataset item with these fields:

| Field | Type | Description |
|-------|------|-------------|
| `url` | string | Product page URL |
| `asin` | string | Amazon Standard Identification Number |
| `title` | string | Product title |
| `price` | string | Product price |
| `currency` | string | Currency symbol |
| `rating` | number | Star rating (e.g. 4.5) |
| `reviewsCount` | integer | Number of reviews |
| `features` | array of strings | Product feature/bullet points |
| `availability` | string | Stock availability |
| `brand` | string | Brand or manufacturer |

### Example Usage

Input:

```json
{
  "productUrls": ["https://www.amazon.com/dp/B0BH8VW9R3"],
  "country": "com"
}
```

Or via search:

```json
{
  "searchTerms": ["wireless mouse", "gaming keyboard"],
  "maxResults": 20,
  "country": "com"
}
```

### Technical Details

- Built with Playwright + BeautifulSoup for reliable page parsing
- Runs on `apify/actor-python-playwright:3.12` Docker image
- Respects page load and gracefully handles errors per product
- Falls back to structured JSON-LD data when DOM selectors fail

# Actor input Schema

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

List of Amazon product page URLs to scrape

## `searchTerms` (type: `array`):

Search terms to find products on Amazon

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

Maximum number of products to scrape when using search terms

## `country` (type: `string`):

Amazon domain to use (e.g., com, co.uk, de, fr, ca, jp)

## Actor input object example

```json
{
  "productUrls": [
    "https://www.amazon.com/dp/B0BH8VW9R3"
  ],
  "searchTerms": [
    "gaming mouse"
  ],
  "maxResults": 10,
  "country": "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/B0BH8VW9R3"
    ],
    "searchTerms": [
        "gaming mouse"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hermesexp/amazon-product-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/B0BH8VW9R3"],
    "searchTerms": ["gaming mouse"],
}

# Run the Actor and wait for it to finish
run = client.actor("hermesexp/amazon-product-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/B0BH8VW9R3"
  ],
  "searchTerms": [
    "gaming mouse"
  ]
}' |
apify call hermesexp/amazon-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hermesexp/amazon-product-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/FX6agY5uBafF0D0PY/builds/jw9d7WfAH86edlDMb/openapi.json