Amazon Product Scraper: Price, Reviews, ASIN etc..

📌 Overview

Amazon Product Scraper is an enterprise-grade web scraping solution built on Crawlee and Playwright. Designed to bypass sophisticated anti-bot systems, it features intelligent browser fingerprint rotation, automatic CAPTCHA/Robot-check detection, human-like browsing behavior, and geo-targeted proxy routing.

Whether you need to monitor competitor pricing, track stock changes across regions, build e-commerce catalogs, or power AI models with live marketplace data, this Actor delivers clean, structured JSON/CSV data reliably.

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✨ Key Features

• 🌍 Multi-Region Support: Scrapes from 5 major Amazon domains:
  • 🇺🇸 United States (amazon.com)
  • 🇮🇳 India (amazon.in)
  • 🇬🇧 United Kingdom (amazon.co.uk)
  • 🇦🇪 United Arab Emirates (amazon.ae)
  • 🇦🇺 Australia (amazon.com.au)
• 🔍 Dual Input Modes: Search by keywords (e.g. "gaming keyboard") or provide direct Amazon product / search listing URLs.
• 📊 Deep Data Extraction: Captures titles, parsed numeric prices, ASIN, ratings, review count, stock availability, seller offers, high-resolution gallery images, and technical specifications.
• 🛡️ Anti-Bot Resistance: Built-in fingerprint spoofing, automated session cycling, and retry mechanisms for CAPTCHAs and Robot Check screens.
• ⚡ High Concurrency & Efficiency: Optimized memory footprint with configurable item limits and automatic dataset serialization.
• 🤖 AI & Agent Ready: Fully compatible with Apify MCP Server, LangChain, LlamaIndex, and OpenAI tool calling.

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📥 Input Configuration

Configure your run using the user-friendly Console form or directly via JSON:

Parameter	Type	Required	Default	Description
searchTerms	array	No	["trimmer for men"]	List of keyword phrases to search on Amazon.
startUrls	array	No	[]	Direct Amazon URLs (product detail pages or search listing pages).
region	string	Yes	"US"	Amazon marketplace region: "US", "IN", "UK", "UAE", or "AU".
maxItems	integer	No	10	Maximum total products to scrape and save to the dataset.
proxyConfiguration	object	No	{"useApifyProxy": true}	Apify Proxy configuration. Residential proxies are recommended for large batches.

📋 JSON Input Example

{
  "searchTerms": [
    "wireless noise cancelling headphones",
    "mechanical keyboard"
  ],
  "region": "US",
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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📤 Output Data Structure

Results are stored in the default dataset and can be downloaded in JSON, CSV, XML, Excel, or NDJSON format.

Each product record contains the following fields:

Field	Type	Description
title	string	Full product name and title
asin	string	Amazon Standard Identification Number (unique 10-character code)
price	number	Parsed numeric price in the local currency
avgRating	string	Customer review average score (e.g., "4.4 out of 5 stars")
ratingCount	string	Total number of customer reviews (e.g., "12,450 ratings")
availability	string	Stock status (e.g., "In Stock", "Only 2 left in stock")
thumbnail	string	Main search result thumbnail URL
images	string[]	High-resolution image URLs extracted from the gallery
description	string	Detailed product description text
features	string	Bulleted feature list from the "About this item" section
offers	string[]	Active discounts, coupons, and promotional deals
url	string	Canonical product URL (clean of tracking parameters)
timestamp	string	ISO 8601 timestamp of when the record was extracted

📦 Sample Output Record

{
  "title": "Sony WH-1000XM5 Wireless Industry Leading Noise Canceling Headphones",
  "asin": "B09XS7JWHH",
  "price": 348.00,
  "avgRating": "4.5 out of 5 stars",
  "ratingCount": "14,892 ratings",
  "availability": "In Stock",
  "thumbnail": "https://m.media-amazon.com/images/I/61+ElPBD6qL._AC_UY218_.jpg",
  "images": [
    "https://m.media-amazon.com/images/I/61+ElPBD6qL._SL1500_.jpg",
    "https://m.media-amazon.com/images/I/51SKmu2G9FL._SL1500_.jpg",
    "https://m.media-amazon.com/images/I/71o8Q5XJS5L._SL1500_.jpg"
  ],
  "description": "The WH-1000XM5 headphones rewrite the rules for distraction-free listening...",
  "features": "• Industry-leading noise cancellation with two processors and 8 microphones\n• Magnificent Sound, engineered to perfection with 30mm driver unit\n• Crystal clear hands-free calling with 4 beamforming microphones\n• Up to 30-hour battery life with quick charging",
  "offers": [
    "Save $50 with coupon applied at checkout",
    "Free delivery with Prime"
  ],
  "url": "https://www.amazon.com/dp/B09XS7JWHH",
  "timestamp": "2026-09-20T08:30:00.000Z"
}

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🚀 How to Use

1. In Apify Console

1. Navigate to Amazon Product Scraper.
2. Enter your search keywords (e.g. "espresso machine") or paste product URLs.
3. Select the target marketplace region.
4. Click Start to run the Actor.
5. Preview and export data in the Storage > Dataset tab.

2. Via Python API Client

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("YOUR_APIFY_TOKEN")

# Prepare Actor input
run_input = {
    "searchTerms": ["ergonomic office chair"],
    "region": "US",
    "maxItems": 15
}

# Run the Actor and wait for it to finish
run = client.actor("datablow/Amazon-Product-Scraper").call(run_input=run_input)

# Fetch results from the default dataset
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['title']} - {item.get('price')} (ASIN: {item['asin']})")

3. Via Node.js JavaScript Client

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const run = await client.actor('datablow/Amazon-Product-Scraper').call({
    searchTerms: ['mechanical keyboard'],
    region: 'US',
    maxItems: 25,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} products:`, items);

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🎯 Practical Use Cases

• E-Commerce Price Intelligence: Automatically monitor price fluctuations and match competitor promotions in real-time.
• Market & Trend Research: Identify top-rated products, surging search items, and underserved niches across multiple Amazon territories.
• Product Catalog Enrichment: Supplement inventory records with high-resolution image galleries, bullet points, and verified specifications.
• Affiliate & Content Sites: Automate product discovery and feed fresh pricing into review blogs and price-comparison aggregators.
• AI / LLM Pipelines: Feed live product catalogues into retrieval-augmented generation (RAG) applications and shopping assistants.

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❓ Frequently Asked Questions (FAQ)

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💬 Support & Inquiries

For feature requests, feedback, or bug reports, please open an issue in the Issues tab on the Apify Actor console. We continuously monitor Amazon UI updates to ensure non-stop reliability.