Amazon BSR Product Scraper

Scrapes Amazon Best Sellers, New Releases, Most Gifted, Most Wished For, and Movers & Shakers product lists across every department and subcategory.

What it does

This Actor navigates Amazon's curated ranking pages and extracts structured data for every listed product — name, price, image, BSR rank, department, subcategory, and direct product link. It handles pagination, automatically traverses subcategories, and pushes raw results to the Apify dataset.

Use cases

• Trending product discovery — identify the fastest movers and top sellers across Amazon departments
• Competitor price monitoring — track pricing changes on ranked products over time
• E-commerce sourcing — find new release and most-gifted opportunities by category
• Analytics pipeline feed — structured JSON output ready for databases, dashboards, or scoring engines

Input

Field	Type	Required	Default	Description
amazonDomain	string	No	https://www.amazon.co.uk	Base Amazon domain URL to scrape from
categories	array	No	All 5 list types	Which BSR list types to scrape: Best-Sellers, new-releases, most-gifted, most-wished-for, movers-and-shakers
maxSubcategoriesPerDepartment	integer	No	0 (unlimited)	Maximum subcategories to scrape per department
maxProductsPerRun	integer	No	0 (unlimited)	Maximum total products to scrape across all categories
proxyConfiguration	object	No	No proxy	Proxy settings — residential proxies recommended, Amazon blocks scrapers aggressively

Example input

{
  "amazonDomain": "https://www.amazon.co.uk",
  "categories": ["Best-Sellers", "movers-and-shakers"],
  "maxSubcategoriesPerDepartment": 5,
  "maxProductsPerRun": 100
}

Output

Each product is pushed as a separate record to the Apify dataset.

Field	Type	Description
productName	string	Full product title
productPrice	string | null	Displayed price (e.g. "£29.99")
productImage	string | null	Product image URL
productLink	string	Direct URL to the product page
productRank	integer | null	BSR rank position
listType	string	Which list the product was found on (e.g. "Best-Sellers")
department	string	Top-level Amazon department
subcategory	string | null	Subcategory within the department
scrapedAt	string	ISO 8601 date-time of extraction

Example output

{
  "productName": "Anker USB-C Fast Charger 67W",
  "productPrice": "£29.99",
  "productImage": "https://m.media-amazon.com/images/I/example.jpg",
  "productLink": "https://www.amazon.co.uk/dp/B0EXAMPLE",
  "productRank": 1,
  "listType": "Best-Sellers",
  "department": "Electronics",
  "subcategory": "Chargers",
  "scrapedAt": "2026-03-06T14:30:00.000Z"
}

How to run

On Apify Platform

1. Go to the Actor's page on Apify Console
2. Configure the input fields in the UI
3. Click Start and wait for the run to finish
4. Download results from the Dataset tab in JSON, CSV, or Excel format

Locally

$apify run

Deploy to Apify

apify login
apify push

Built with

• Apify SDK — actor framework and dataset management
• Playwright — browser automation for rendering Amazon pages