Baselight

Amazon UK Products Dataset 2023 (2.2M Products)

Scraped dataset from Oct 2023. Contains pricing & sales data

@kaggle.asaniczka_amazon_uk_products_dataset_2023

Loading...
Loading...

About this Dataset

Amazon UK Products Dataset 2023 (2.2M Products)

About the Dataset:

Amazon is one of the biggest online retailers in the UK. With this dataset, you can get an in-depth idea of what products sell best, which SEO titles generate the most sales, the best price range for a product in a given category, and much more.

It took a lot of time and energy to prepare this original dataset, so don't forget to hit the upvote button! 😊💝

Similar Datasets:

Amazon Canada Products

Amazon India Products

Amazon USA Products

Interesting Task Ideas:

  1. Uncover trending product categories and their sales performance.
  2. Analyze customer ratings to find top-rated products.
  3. Train a product title generator that can generate sales-worthy product titles based on products with the most sales.
  4. Gain insight into the best price for any given product based on sales data and competition.
  5. Identify which niches are the easiest to make sales in.
  6. Gain insights into the general spending habits of online shoppers.
  7. Use as a seed dataset for practicing database management and performance optimization.
  8. Train (or learn to train) an AI-based search model to recommend Amazon products.

Checkout my other datasets

USA Unemployment Rates by Demographics & Race

USA Hispanic-White Wage Gap Dataset

Median and Avg Hourly Wages in the USA

Health Insurance Coverage in the USA

Black-White Wage Gap in the USA Dataset


Photo by Canonicalized

Tables

Amz Uk Processed Data

@kaggle.asaniczka_amazon_uk_products_dataset_2023.amz_uk_processed_data
  • 186.27 MB
  • 2222742 rows
  • 10 columns
Loading...

CREATE TABLE amz_uk_processed_data (
  "asin" VARCHAR,
  "title" VARCHAR,
  "imgurl" VARCHAR,
  "producturl" VARCHAR,
  "stars" DOUBLE,
  "reviews" BIGINT,
  "price" DOUBLE,
  "isbestseller" BOOLEAN,
  "boughtinlastmonth" BIGINT,
  "categoryname" VARCHAR
);

Share link

Anyone who has the link will be able to view this.