eCommerce-dataset-samples

A collection of sample e-commerce datasets, each containing over 1,000 records.

E-commerce dataset samples featuring thousands of records in total. All datasets were extracted using the Bright Data API.

Some of the data points include:

• title: Product title
• description: A brief description of the product
• initial_price: Initial price of the product
• final_price: Current or discounted price
• currency: Currency in which the product is priced
• availability: Product availability status (e.g., in stock or out of stock)
• reviews_count: Number of reviews the product has received
• rating: Customer rating for the product
• categories: Product categories or classifications
• asin: Unique identifier for each product
• seller_name: Name of the seller offering the product
• brand: Brand name of the product
• images_count: Number of images available for the product
• image_url: URL of the main product image
• url: Direct link to the product page
• delivery: Delivery-related information, such as estimated shipping time or cost
• features: List of product features or specifications

And many more.

These are sample datasets and subsets derived from dozens of e-commerce datasets (public data) containing millions of records.

Available Dataset File Formats:

• JSON, NDJSON, JSON Lines, CSV, or Parquet
• Optionally, files can be compressed to .gz

Dataset Delivery Options:

• Email, API download, Webhook, Amazon S3, Google Cloud Storage, Microsoft Azure, Snowflake, SFTP

Update Frequency:

• Once, Daily, Weekly, Monthly, Quarterly, or Custom intervals

Data Enrichment:

• Additional data points can be enriched based on specific requirements.

Get the full e-commerce datasets

What are the e-commerce dataset use cases?

1. Product Trend Analysis

Identify popular products, analyze seasonal trends, and gain insights into consumer demand to refine your marketing and inventory strategies.

2. Competitive Pricing Strategy

Monitor competitor pricing, discounts, and promotions to implement dynamic pricing strategies and maintain a competitive edge in the market.

3. Consumer Sentiment Analysis

Analyze reviews, ratings, and feedback to understand customer sentiment toward specific products or categories and improve your offerings.

Free Access for Researchers and NGOs

The Bright Initiative provides free access to Web Scraper APIs and ready-to-use datasets for academic faculties, researchers, NGOs, and NPOs working on environmental or social causes. Submit your application here.