🏆 Amazon Best Sellers Scraper

Amazon Best Sellers Scraper is the ultimate real-time market intelligence engine designed for e-commerce entrepreneurs, Amazon FBA sellers, dropshippers, and DTC brands. Instantly discover sales champions, rising breakout products, and hot new releases across 20+ top Amazon departments in seconds — complete with real-time sales ranks, current buy-box prices, customer ratings, review volume, monthly revenue modeling, and proprietary Opportunity Scores.

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💡 Why Scrape Amazon Best Sellers?

Over 60% of top-selling products on TikTok Shop and Shopify originated as proven sales champions on Amazon. Manual product research requires clicking through hundreds of category sub-pages, manually calculating review barriers, and estimating sales velocity.

This Actor completely automates your competitive intelligence:

• 🔥 Uncover Rising Breakouts: Find hot new releases gaining momentum before incumbent brands take notice.
• 🎯 Spot Low-Competition Goldmines: Automatically calculates the Breakout Opportunity Index (0–100) to pinpoint products ranking in the top 20 with fewer than 100 reviews.
• 📊 Sales Velocity & Revenue Modeling: Generates heuristic monthly sales volume and estimated monthly revenue in USD for every product.
• 🛡️ 100% Cookieless & Reliable: Built with first-party browser TLS fingerprinting to bypass Amazon's edge firewalls natively with zero account risk or cookies.

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🎯 Key Features

Feature	Description
20+ Top Amazon Categories	Beauty, Kitchen & Dining, Electronics, Toys & Games, Home & Garden, Pet Supplies, Sports, Fashion, and more.
Dual Trending Feeds	Toggle between Best Sellers (proven sales champions) and Hot New Releases (fast-rising breakouts).
Breakout Opportunity Index	Proprietary algorithm (0–100) scoring sales rank against review barriers to identify easy-to-rank niches.
Sales & Revenue Modeling	Heuristic monthly units and revenue estimation curve based on BSR rank dynamics.
Smart Filtering	Filter by minimum price, maximum review count (low competition), and minimum customer star rating.
Real-Time Data Streaming	Pushes records item-by-item directly to your dataset so you can preview results immediately.

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📥 Input Parameters

Parameter	Type	Default	Description
categories	Array<String>	["beauty"]	One or more Amazon departments to scrape (e.g. beauty, kitchen, toys-and-games).
feedType	String	"bestsellers"	Choose between bestsellers (Best Sellers) or new-releases (Hot New Releases).
maxItems	Integer	10	Maximum number of products to extract per selected category (1–100).
minPrice	Number	0	Minimum buy-box price in USD (filters out low-margin impulse items).
maxReviews	Integer	0	Maximum review count to reveal uncrowded breakout products (e.g. 200). Set 0 for all.
minRating	Number	0	Minimum customer star rating (e.g. 4.0 to filter for quality products).
proxyConfiguration	Object	{}	Optional Apify proxy settings for enterprise scheduled runs.

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📤 Sample Output Record

{
  "rank": 1,
  "title": "medicube Toner Pads Zero Pore Pad 2.0 for Exfoliation and Pore Care",
  "asin": "B09V7Z4TJG",
  "price": 18.90,
  "currency": "USD",
  "rating": 4.6,
  "reviewCount": 33726,
  "category": "Beauty & Personal Care",
  "categoryKey": "beauty",
  "feedType": "Best Sellers",
  "opportunityScore": 45,
  "opportunityVerdict": "⭐ ACTIVE CONTENDER",
  "estimatedMonthlySales": 14000,
  "estimatedMonthlyRevenueUsd": 264600.0,
  "productUrl": "https://www.amazon.com/dp/B09V7Z4TJG",
  "imageUrl": "https://images-na.ssl-images-amazon.com/images/I/71Mcspt-6AL._AC_UL600_SR600,400_.jpg",
  "scrapedAt": "2026-10-08T13:25:00.000Z"
}

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💻 Integrations & API Usage

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "categories": ["beauty", "kitchen"],
    "feedType": "bestsellers",
    "maxItems": 15,
    "maxReviews": 500
}

run = client.actor("YOUR_USERNAME/amazon-bestsellers-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"#{item['rank']} | {item['title'][:40]} | ${item['price']} | Opp: {item['opportunityScore']}/100")

Node.js

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('YOUR_USERNAME/amazon-bestsellers-scraper').call({
    categories: ['toys-and-games', 'home-garden'],
    feedType: 'new-releases',
    maxItems: 20
});

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

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❓ Frequently Asked Questions (FAQ)

Can I find products with low competition to sell under private label?

Yes! Set maxReviews to 100 or 300. This filters the bestsellers list to only show products that have achieved top sales rank with minimal customer reviews — the clearest signal of high buyer demand and weak incumbent moat.

How fresh is the data?

Data is extracted 100% in real-time directly from live Amazon category feeds during the run.

Does this require Amazon login credentials or cookies?

No. The scraper runs 100% publicly without requiring an Amazon seller or buyer account, and does not need any cookies or API keys.