Pricing

$4.99 / 1,000 results

Amazon Best Sellers Scraper

Powerful Amazon best sellers scraper that automatically extracts top sellers with comprehensive metadata. Includes multiple country support and detailed ranking information with automatic rate limit handling.

Pricing

$4.99 / 1,000 results

Rating

0.0

(0)

Developer

PowerAI

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Monthly active users

4 days ago

Last modified

🏆 Amazon Best Sellers Scraper

Extract best-selling products from any Amazon category with structured metadata. Each dataset item mirrors the backend Best Sellers payload, plus a scrape timestamp.

✨ Key Features

📥 Best sellers for a given category (and optional subcategory path)
📊 Per-product fields:
- rank — position in the list
- asin — Amazon Standard Identification Number
- product_title, product_price
- product_star_rating, product_num_ratings
- product_url, product_photo
- rank_change_label — may be null when not provided
🌍 Multiple geo (country) options; UK is sent to the API as GB
📈 Pagination until maxResults is reached or the API returns no more items
📋 One JSON object per product in the dataset

💪 Why Choose This Actor?

Structured: Field names match the upstream best-sellers API (product_* naming)
Flexible: Category + optional subcategory segment, country selection
Efficient: Automatic paging across result pages
Traceable: Each row includes scrapedAt (ISO 8601)

🎯 Perfect For

Market researchers and e-commerce managers
Trend and competitor analysis
Product and category research

📝 Input Requirements

Parameter	Required	Description
`category`	Yes	Amazon category to scrape (e.g. `Electronics`).
`maxResults`	No	Max products to collect (default: 50).
`geo`	No	Country code for the marketplace (default: `US`). `UK` is normalized to `GB` for the API.
`subcategory_code`	No	If set, combined with `category` as `category/subcategory_code` for a more specific path.
`type`	No	Optional list type (e.g. `BEST_SELLERS`, `NEW_RELEASES`) when supported by the backend.

Input Example

{
  "category": "Electronics",
  "maxResults": 50,
  "geo": "US"
}

Output Example

Each pushed record looks like this (one object per product):

{
  "rank": 1,
  "asin": "B08JHCVHTY",
  "product_title": "blink plus plan with monthly auto-renewal",
  "product_price": "$11.99",
  "product_star_rating": "4.4",
  "product_num_ratings": 273417,
  "product_url": "https://www.amazon.com/dp/B08JHCVHTY",
  "product_photo": "https://images-na.ssl-images-amazon.com/images/I/31YHGbJsldL._AC_UL900_SR900,600_.png",
  "rank_change_label": null,
  "scrapedAt": "2026-03-24T02:37:17.366Z"
}

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