# Amazon Product scraper (`lucrateresults/my-actor-1`) Actor

Amazon Product Scraper built with PlaywrightCrawler and Crawlee. Search by keywords across multiple marketplaces (US, UK, DE, etc.) and extract product details like title, price, rating, reviews, brand, availability, image, category, and Prime eligibility. Outputs to dataset.

- **URL**: https://apify.com/lucrateresults/my-actor-1.md
- **Developed by:** [Lucrate Results](https://apify.com/lucrateresults) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 41 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

$5.00 / 1,000 products

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?

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

**Amazon Product Scraper** is an Apify actor built with [Crawlee](https://crawlee.dev/) and Playwright. It allows you to scrape Amazon product data using **search keywords**. The actor outputs structured product information to the default dataset (JSON/CSV/XLSX).

***

### Features

- Search Amazon by keywords.
- Extract product title, ASIN, price, rating, reviews, brand, image, availability, category, and Prime eligibility.
- Handles pagination automatically.
- Supports proxy configuration (Apify Proxy recommended).
- Configurable maximum number of products and concurrency.

***

### Input

The actor expects a JSON input with the following structure:

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `country` | string | ✅ | Country code to scrape Amazon from. Options: `US`, `UK`, `DE`, `FR`, `IT`, `ES`, `CA`, `AU`, `IN`, `JP`. |
| `keywords` | array of strings | ✅ | Array of keywords to search on Amazon. |
| `maxItems` | integer | ✅ | Maximum number of products to scrape. Default: 50. |
| `proxyConfiguration` | object | ❌ | Proxy configuration object as required by Apify. Example for Apify Proxy: <br>`json { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" }` |

#### Example Input

````json
{
  "country": "US",
  "keywords": ["laptop", "headphones"],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

# Actor input Schema

## `mode` (type: `string`):

Choose whether to scrape by product URLs, ASINs, or search keywords.
## `productUrls` (type: `array`):

List of full Amazon product URLs to scrape (used if mode = productUrls).
## `asins` (type: `array`):

List of Amazon product ASINs (used if mode = asins).
## `keywords` (type: `array`):

Keywords to search for on Amazon (used if mode = search).
## `country` (type: `string`):

Amazon marketplace to scrape.
## `maxItems` (type: `integer`):

How many products to scrape (leave empty for all available).
## `maxConcurrency` (type: `integer`):

How many pages to scrape in parallel.
## `debug` (type: `boolean`):

Enable debug logging for troubleshooting.
## `proxyConfiguration` (type: `object`):

Use Apify proxy or custom proxy for Amazon scraping.

## Actor input object example

```json
{
  "mode": "productUrls",
  "productUrls": [
    "https://www.amazon.com/dp/B08N5WRWNW"
  ],
  "asins": [
    "B08N5WRWNW"
  ],
  "keywords": [
    "laptop"
  ],
  "country": "US",
  "maxItems": 50,
  "maxConcurrency": 5,
  "debug": false
}
````

# 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/B08N5WRWNW"
    ],
    "asins": [
        "B08N5WRWNW"
    ],
    "keywords": [
        "laptop"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lucrateresults/my-actor-1").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/B08N5WRWNW"],
    "asins": ["B08N5WRWNW"],
    "keywords": ["laptop"],
}

# Run the Actor and wait for it to finish
run = client.actor("lucrateresults/my-actor-1").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/B08N5WRWNW"
  ],
  "asins": [
    "B08N5WRWNW"
  ],
  "keywords": [
    "laptop"
  ]
}' |
apify call lucrateresults/my-actor-1 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lucrateresults/my-actor-1"
        }
    }
}

```

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/K4gCxPZOR3wnwOnAY/builds/BYaNbNwgGECgxDkuu/openapi.json