📦 Scrape Amazon Products — Price, Reviews & BSR

What does this actor do?

This actor extracts comprehensive product intelligence from Amazon — including price, Best Seller Rank (BSR), customer reviews, seller details, Prime eligibility, and FBA status — all in a single run. It accepts keyword searches, ASIN lists, or direct URLs across 10 Amazon marketplaces.

Why use this actor?

Most Amazon scrapers make you run 2–3 actors to get a full picture: one for products, one for reviews, one for seller info. This actor does all of it in one call — making it the fastest, most complete solution on the Apify Store.

• One actor, complete data — products + reviews + BSR + seller in a single run
• 3 input modes — keyword search, ASIN list, or direct URLs
• 10 marketplaces — US, UK, DE, FR, CA, ES, IT, JP, AU, IN
• MCP-optimized output — semantic field names Claude and other AI agents can use directly
• BSR extraction — Best Seller Rank data missing from most competitors
• FBA flag — instantly see if fulfilled by Amazon or a third-party seller
• Residential proxy ready — handles Amazon's aggressive bot detection

What data can this actor extract?

Field	Type	Description
asin	string	Amazon Standard Identification Number
title	string	Full product title
brand	string	Brand or manufacturer
price	number	Current selling price
original_price	number	List price before discount
discount_percent	integer	Calculated discount percentage
currency	string	Currency code (USD, GBP, EUR…)
in_stock	boolean	Availability status
prime_eligible	boolean	Amazon Prime eligibility
star_rating	number	Average star rating (1–5)
review_count	integer	Total number of ratings
best_seller_rank	integer	BSR in primary category
best_seller_category	string	Category BSR applies to
category	string	Top-level product category
seller_name	string	Merchant name
fulfilled_by_amazon	boolean	FBA or Amazon-sold flag
main_image_url	string	Primary product image URL
bullet_points	array	Product feature bullet points
description	string	Full product description
variations_count	integer	Number of available variants
reviews	array	Customer reviews (when enabled)
marketplace	string	Marketplace country code
product_url	string	Clean Amazon product URL
scraped_at	string	ISO 8601 scrape timestamp

How to use this actor

By keyword search

Enter a search query to scrape products from Amazon search results:

{
    "searchQuery": "wireless earbuds noise cancelling",
    "country": "US",
    "maxResults": 100
}

By ASIN list

Pass specific ASINs to scrape those exact products:

{
    "asins": ["B08N5WRWNW", "B09G9HD6PD", "B07XJ8C8F5"],
    "country": "US",
    "maxResults": 50
}

By direct URL

Paste Amazon product or search result pages:

{
    "startUrls": [
        { "url": "https://www.amazon.com/dp/B08N5WRWNW" },
        { "url": "https://www.amazon.com/s?k=bluetooth+speaker" }
    ],
    "maxResults": 50
}

With reviews included

{
    "searchQuery": "ergonomic office chair",
    "country": "US",
    "maxResults": 20,
    "includeReviews": true,
    "maxReviews": 10
}

Input parameters

Parameter	Type	Required	Default	Description
searchQuery	string	No*	—	Keyword to search on Amazon
asins	array	No*	[]	List of ASIN codes to scrape
startUrls	array	No*	[]	Direct Amazon product/search URLs
country	string	No	US	Marketplace: US, UK, DE, FR, CA, ES, IT, JP, AU, IN
maxResults	integer	No	50	Maximum products to extract
includeReviews	boolean	No	false	Fetch customer reviews per product
maxReviews	integer	No	5	Max reviews per product
proxyConfiguration	object	No	Residential	Proxy settings

*At least one of searchQuery, asins, or startUrls is required.

Sample output

{
    "asin": "B08N5WRWNW",
    "title": "Apple AirPods Pro (2nd Generation)",
    "brand": "Apple",
    "price": 189.99,
    "original_price": 249.99,
    "discount_percent": 24,
    "currency": "USD",
    "in_stock": true,
    "prime_eligible": true,
    "star_rating": 4.7,
    "review_count": 28543,
    "best_seller_rank": 3,
    "best_seller_category": "Earbud Headphones",
    "category": "Electronics",
    "seller_name": "Amazon.com",
    "fulfilled_by_amazon": true,
    "main_image_url": "https://m.media-amazon.com/images/I/...",
    "bullet_points": [
        "Active Noise Cancellation",
        "Adaptive Transparency",
        "Up to 30 hours total battery life"
    ],
    "description": "Rebuilt from the ground up...",
    "variations_count": 2,
    "marketplace": "US",
    "product_url": "https://www.amazon.com/dp/B08N5WRWNW",
    "reviews": null,
    "scraped_at": "2026-04-09T14:32:00.000Z",
    "source_url": "https://www.amazon.com/dp/B08N5WRWNW"
}

Pricing

This actor uses pay-per-event pricing: $0.003 per product scraped.

Products	Cost
10 products	$0.03
100 products	$0.30
500 products	$1.50
1,000 products	$3.00

Reviews are included at no extra charge when includeReviews: true — you only pay per product, not per review.

Use cases

Price tracking & competitor monitoring — Track competitor prices daily by running this actor on a schedule with their ASINs. Export to Google Sheets or your own database.

Market research — Search any keyword and extract BSR, ratings, and review counts to identify winning products and category leaders.

Dropshipping research — Filter by prime_eligible, in_stock, and discount_percent to find arbitrage opportunities across marketplaces.

Sentiment analysis — Enable reviews to extract customer feedback at scale for NLP and market intelligence pipelines.

AI agent data collection — This actor is MCP-optimized. Claude, ChatGPT, and other AI agents can call it directly via the Apify MCP server to retrieve Amazon product data on demand.

Running via API

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('USERNAME/amazon-product-intelligence').call({
    searchQuery: 'protein powder',
    country: 'US',
    maxResults: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("USERNAME/amazon-product-intelligence").call(run_input={
    "searchQuery": "protein powder",
    "country": "US",
    "maxResults": 50,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Scheduling

To run this actor daily for price tracking:

1. Open the actor → Schedules tab
2. Click New Schedule
3. Set your cron expression (e.g. 0 9 * * * for 9am daily)
4. Save your input configuration
5. Enable the schedule

Troubleshooting

Getting 0 results? Amazon blocks datacenter proxies aggressively. Make sure residential proxies are enabled in your proxy configuration. The default settings already include this.

Captcha errors in logs? This is normal on first runs with new sessions. The session pool rotates automatically and retries. If it persists, reduce maxConcurrency in the proxy settings.

BSR is null? Not all products show a BSR. Products with very few reviews or in niche categories may not be ranked.

Reviews not loading? Set includeReviews: true and maxReviews to your desired count. The reviews tab is loaded separately and adds time per product.

Price is null? Some products use dynamic pricing not available in the initial page load (e.g. Configure pricing, range pricing). This is an Amazon limitation.

Other actors in this portfolio

This actor pairs well with other tools for a complete e-commerce intelligence pipeline:

• Run this actor to collect product data → export to Google Sheets for dashboards
• Chain with a keyword research actor to discover new search terms
• Use with a scheduler to track price changes over time

Legal disclaimer

This actor is designed for lawful collection of publicly available data from Amazon. Users are responsible for complying with Amazon's Terms of Service, applicable data protection regulations (GDPR, CCPA, etc.), and the laws of their jurisdiction. The data extracted should be used only for legitimate research, competitive intelligence, and business analytics purposes. Do not use this actor to engage in unfair competition, mass spamming, or any activity prohibited by law.