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

Extract detailed Amazon product information at scale. Scrape product details, prices, ratings, images, specifications, and reviews from Amazon.com with advanced anti-blocking protection.

- **URL**: https://apify.com/yesintelligent/amazon-product-scraper.md
- **Developed by:** [yesintelligent](https://apify.com/yesintelligent) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Features:** Limited permissions
- **Stats:** 15 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 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/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

Extract product data from Amazon.com. Scrape product details, prices, ratings, and images using pay-per-event pricing.

### Features

- **Product Scraping**: Extract title, price, rating, description, images, and specifications
- **Anti-Detection**: Built-in proxy support with residential proxies
- **Pay-Per-Event Pricing**: Only pay for successfully scraped products
- **Error Transparency**: Failed URLs are logged with error details

### Input

- **Product URLs** (required): List of Amazon product URLs to scrape
- **Proxy Config** (optional): Configure proxies for reliable scraping
- **Max Retries** (optional): Number of retry attempts (default: 3)
- **Timeout** (optional): Request timeout in seconds (default: 60)

#### Example Input

```json
{
  "productUrls": [
    "https://www.amazon.com/dp/B0CL61F39H"
  ],
  "proxyConfig": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

### Output

Each scraped product includes:

```json
{
  "title": "Product Title",
  "asin": "B0CL61F39H",
  "url": "https://www.amazon.com/dp/B0CL61F39H",
  "price": "$499.99",
  "price_striked": "$599.99",
  "rating": 4.6,
  "rating_count": 5815,
  "description": "Product description...",
  "feature_bullets": ["Feature 1", "Feature 2"],
  "images": ["https://..."],
  "thumbnail": "https://...",
  "scrapedAt": "2026-01-01T00:00:00Z"
}
```

### Pricing

This Actor uses **Pay-Per-Event** pricing:

| Event | Price | Description |
|-------|-------|-------------|
| Product Scraped | $0.005 | Per successfully scraped product |
| Category Scraped | $0.005 | Per category/search page scraped |

### Use Cases

- Price monitoring and tracking
- Market research and competitive analysis
- Product catalog building
- E-commerce data extraction

### Support

For issues or questions, check the Issues tab or contact support.

# Actor input Schema

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

Amazon product URLs to scrape (e.g., https://www.amazon.com/dp/B0CL61F39H)

## `proxyConfig` (type: `object`):

Configure proxies to avoid blocking. Residential proxies recommended for best results.

## `maxRetries` (type: `integer`):

Maximum number of retry attempts for failed requests

## `timeout` (type: `integer`):

Timeout for each HTTP request in seconds

## Actor input object example

```json
{
  "productUrls": [
    "https://www.amazon.com/dp/B0CL61F39H"
  ],
  "proxyConfig": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "maxRetries": 3,
  "timeout": 60
}
```

# Actor output Schema

## `products` (type: `string`):

Complete scraped product data from Amazon

## `overview` (type: `string`):

Quick overview of scraped products with key details

## `detailed` (type: `string`):

Detailed product information with descriptions and images

# 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/B0CL61F39H"
    ],
    "proxyConfig": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    },
    "maxRetries": 3,
    "timeout": 60
};

// Run the Actor and wait for it to finish
const run = await client.actor("yesintelligent/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/B0CL61F39H"],
    "proxyConfig": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
    "maxRetries": 3,
    "timeout": 60,
}

# Run the Actor and wait for it to finish
run = client.actor("yesintelligent/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/B0CL61F39H"
  ],
  "proxyConfig": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "maxRetries": 3,
  "timeout": 60
}' |
apify call yesintelligent/amazon-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,yesintelligent/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/yTdfDW2tQBzatywMi/builds/odIy6bOVZUz0dk2vY/openapi.json