Amazon Products

Dataset Features

• Title: The name or title of the product.
• seller_name: The name of the seller offering the product.
• Brand: The brand associated with the product.
• Description: A detailed description of the product, including key features.
• initial_price: The original price of the product before any discounts.
• final_price: The current price of the product after discounts.
• Currency: The currency in which the product is priced (e.g., GBP, USD).
• Availability: The stock status (e.g., in stock, out of stock).
• reviews_count: The total number of customer reviews.
• Categories: The specific category the product belongs to.
• asin: Amazon Standard Identification Number.
• buybox_seller: The seller currently winning the Amazon Buy Box.
• number_of_sellers: The number of sellers offering this product.
• root_bs_rank: The overall ranking of the product in the Amazon best-sellers list.
• answered_questions: The number of questions answered in the product Q&A section.
• domain: The website domain where the product is being sold.
• images_count: The number of images available for the product.
• URL: The link to the product page on Amazon.
• video_count: The number of videos available for the product.
• image_url: The URL of the primary image associated with the product.
• item_weight: The weight of the product.
• Rating: The average rating of the product based on customer reviews.
• product_dimensions: The dimensions of the product (e.g., length, width, height) and weight.
• seller_id: The unique identifier for the seller.
• date_first_available: The date when the product was first made available on Amazon.
• discount: Any discount applied to the product.
• model_number: The model number of the product.
• manufacturer: The company that manufactures the product.
• department: The department under which the product is categorized (e.g., Health & Household).
• plus_content: A flag indicating if the product has Amazon’s “Plus Content” (additional marketing content).
• upc: The Universal Product Code (UPC) associated with the product.
• video: URL(s) of any video content associated with the product.
• top_review: A summary or excerpt from the top customer review.
• variations: Different product variations (e.g., different sizes or flavors).
• delivery: Information on the delivery options (e.g., free delivery or Prime delivery).
• features: Key features or highlights of the product.
• format: The format of the product (e.g., powder, liquid).
• buybox_prices: Pricing details for the product, including the base and tiered prices.
• parent_asin: The ASIN of the parent product (if the product is part of a larger group of similar products).
• input_asin: The ASIN of the product as input for Amazon searches.
• ingredients: List of ingredients in the product (if applicable).
• origin_url: The source URL for product-related information or ingredients.
• bought_past_month: A flag indicating if the product was bought in the past month.
• is_available: Availability status of the product (True/False).
• root_bs_category: The broad product category (e.g., Health & Household).
• bs_category: The specific subcategory the product belongs to.
• bs_rank: The rank of the product in its specific subcategory.
• badge: Any badge or label the product has earned (e.g., Amazon's Choice).
• subcategory_rank: The rank of the product within its subcategory.
• amazon_choice: A flag indicating if the product has been selected as Amazon’s Choice.
• images: A list of URLs for additional product images.
• product_details: Detailed product specifications and features.
• prices_breakdown: A breakdown of the price, including any discounts or promotions.
• country_of_origin: The country where the product is made.
• from_the_brand: Information from the brand or manufacturer about the product.
• product_description: A detailed description of the product.
• seller_url: The URL to the seller's Amazon storefront.
• customer_says: Customer feedback or comments on the product.
• sustainability_features: Features that emphasize sustainability or eco-friendliness.
• climate_pledge_friendly: A flag indicating if the product meets Amazon’s Climate Pledge Friendly criteria.
• videos: Any video content related to the product (e.g., promotional videos).
• other_sellers_prices: Prices listed by other sellers for the same product.
• downloadable_videos: A link to downloadable video content related to the product.
• editorial_reviews: Reviews written by editorial teams or experts.
• about_the_author: Information about the author or creator of the product (if applicable).
• sponsored: A flag indicating if the product is sponsored.
• store_url: A link to the product's page on the brand's official store.

Distribution

• Data Volume: 277.76M Rows and 67 columns
• Data Volume: CSV database.

Usage

• E-commerce Analytics: Analyze market trends, best-selling products, and pricing strategies.
• Machine Learning Models: Train models for price prediction, demand forecasting, or recommendation systems.
• Competitor Analysis: Compare pricing and reviews for similar products across different sellers.
• Consumer Behavior Insights: Identify trends in customer reviews, ratings, and purchasing patterns.

Coverage

• Geographic Coverage: World.
• Time Range: Data collected over multiple time periods (specific range to be determined).
• Demographics: Data reflects consumer preferences across various product categories and industries.

License

1. Data Provider's License
   • Bright Data Master Service Agreement

Who Can Use It

• Data Scientists: To develop AI models for price optimization and sales forecasting.
• Researchers: For academic studies on e-commerce trends and consumer behavior.
• Businesses & Sellers: To refine pricing strategies and improve product positioning.
• Developers: To create e-commerce dashboards or analytics tools.

Suggested Dataset Names:

• Amazon Product Insights
• Marketplace Trends
• Amazon Retail Analytics
• E-Commerce Intelligence
• Amazon Price & Review Dataset

Pricing

Based on Delivery frequency

• Daily

• Weekly

• Monthly

• Quarterly

• Bi-annual

• One-time purchase