Pricing

Pay per usage

Amazon Bestseller Scraper

Amazon Bestseller Scraper. Extract structured data with automatic pagination, proxy rotation, and JSON/CSV export. Pay only for results.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Donny Nguyen

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

What does it do?

Amazon Bestseller Scraper extracts product data from Amazon's Best Sellers lists across multiple categories. It collects product names, current rankings, prices, star ratings, review counts, ASINs, brand names, and product images from the bestseller pages, giving you a complete snapshot of top-performing products in any Amazon category.

This actor is perfect for ecommerce sellers, product researchers, and market analysts who need to understand which products are trending and dominating specific Amazon categories. By monitoring bestseller rankings over time, you can identify emerging product trends, analyze pricing strategies, and discover niche opportunities where competition is lower.

The scraper navigates Amazon's Best Sellers pages for each specified category, parsing the product cards to extract comprehensive product information. It supports a wide range of categories including electronics, books, toys, home, kitchen, beauty, sports, and many more. Results include direct product URLs and ASIN codes for easy cross-referencing with other Amazon research tools.

Why use this actor?

Track bestselling products across any Amazon category
Monitor competitor products and pricing strategies
Identify trending products and emerging market opportunities
Get complete product data including ASIN, price, rating, and reviews
Export data for market research reports and product sourcing decisions

How to use

Open the actor page on Apify
Enter the Amazon categories you want to monitor (electronics, books, toys, etc.)
Set the maximum number of products to collect
Run the actor and download your bestseller data
Use the data for product research, pricing analysis, or trend monitoring

Input configuration

Parameter	Type	Description
categories	array	Amazon categories to scrape (default: electronics, books, toys)
maxProducts	integer	Maximum products to scrape (default: 100)

Output data

{
    "rank": 1,
    "productName": "Apple AirPods Pro (2nd Generation)",
    "price": "$189.99",
    "rating": "4.7",
    "reviewCount": "125,432",
    "asin": "B0D1XD1ZV3",
    "category": "electronics",
    "brand": "Apple",
    "imageUrl": "https://images-na.ssl-images-amazon.com/...",
    "productUrl": "https://www.amazon.com/dp/B0D1XD1ZV3",
    "scrapedAt": "2024-01-15T10:30:00.000Z"
}

Cost of usage

This actor uses pay-per-event pricing at $0.75 per 1,000 results. Scraping 100 bestselling products across 3 categories costs approximately $0.08. The actor uses efficient Cheerio-based scraping to minimize compute costs while maximizing data extraction.

Tips

Monitor the same categories weekly to track ranking changes
Use ASIN codes to build detailed product tracking spreadsheets
Compare prices across categories to identify pricing sweet spots
Products with high ratings but lower review counts may be emerging bestsellers
Combine with Amazon coupon data for complete product intelligence

Built with Crawlee and Apify SDK. See more scrapers by consummate_mandala on Apify Store.

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