[PAID] EU Amazon Product & Price Intelligence Dataset – 4M+ High-Value Products, Continuously Updated

Hi everyone,

I’m offering a large-scale EU Amazon product intelligence dataset with 4 million+ entries, continuously updated.
The dataset is primarily focused on high resale-value products (electronics, lighting, branded goods, durable products, etc.), making it especially useful for arbitrage, pricing analysis, and market research. US Amazon data will be added shortly.

What’s included:

  • Identifiers: ASIN(s), EAN, corresponding Bol.com product IDs (NL/BE)
  • Product details: title, brand, product type, launch date, dimensions, weight
  • Media: product main image
  • Pricing intelligence: historical and current price references from multiple sources (Idealo, Geizhals, Tweakers, Bol.com, and others)
  • Market availability: active and inactive Amazon stores per product
  • Ratings: overall rating and 5-star breakdown

Dataset characteristics:

  • Focused on items with higher resale and margin potential, rather than low-value or disposable products
  • Aggregated from multiple public and third-party sources
  • Continuously updated to reflect new prices, availability, and product changes

Delivery & Format:

  • JSON
  • Provided by store, brand, or product type
  • Full dataset or custom slices available

Who this is for:

  • Amazon sellers and online resellers
  • Price comparison and deal discovery platforms
  • Market researchers and brand monitoring teams
  • E-commerce analytics and data science projects

Sample & Demo:
A small sample (10–50 records) is available on request so you can review structure and data quality before purchasing.

Pricing & Payment:

  • Dataset slices (by store, brand, or product type): €30–€150
  • Full dataset: €500–€1,000
  • Payment via PayPal (Goods & Services)
  • Private seller, dataset provided as-is
  • Digital dataset, delivered electronically, no refunds after delivery

If this sounds useful, feel free to DM me — happy to share a sample or discuss a custom extract.

submitted by /u/Fun_Internal1460
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