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Amazon Verified Product Review Database
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This collection provides detailed records of user feedback and ratings for various products available on the Amazon platform. The data was created by in-house teams at PromptCloud and DataStock, designed to facilitate research into consumer sentiment and to demonstrate how user reviews help manufacturers and companies improve their offerings. The dataset is particularly useful for studying e-commerce trends and consumer behaviour metrics.
Columns
The dataset includes eighteen distinct fields, offering deep insight into the review process:
- Uniq Id: The unique identification number assigned to the specific product on Amazon.
- Crawl Timestamp: The precise date and time the data collection occurred.
- Billing Uniq Id: The billing ID associated with the product during purchase.
- Rating: The overall rating given to the product by the user (Note: This field may contain missing values in some data samples).
- Review Title: The headline or title provided by the reviewer.
- Review Rating: The numerical rating assigned to the product by the user (e.g., 1 to 5).
- Review Date: The date the customer submitted the review.
- User Id: The unique identifier for the customer who submitted the feedback.
- Brand: The name of the product manufacturer or brand being reviewed (e.g., Schmidt's Deodorant, SheaMoisture).
- Category: The broad classification of the product (e.g., Beauty & Personal Care).
- Sub Category: A more specific classification of the product (e.g., Personal Care, Skin Care).
- Product Description: The description of the item provided by the seller.
- Asin: The Amazon Standard Identification Number.
- Url: The direct URL link to the product listing.
- Review Content: The full text of the feedback written by the reviewer.
- Verified Purchase: Indicates if the reviewer’s purchase status has been verified.
- Helpful Review Count: The number of users who found the specific review helpful.
- Manufacturer Response: Any recorded response left by the manufacturer regarding the review.
Distribution
The dataset is provided in CSV file extension format. The full catalogue contains 43,729 total records. A typical sample file, such as the initial 30K record sample, contains all 18 fields. The anticipated update frequency for this data product is annually.
Usage
This data is perfectly suited for several applications, including:
- Conducting sentiment analysis on specific brands or product categories.
- Training machine learning models to predict customer satisfaction or identify critical review aspects.
- Performing market research to understand consumer pain points and product success factors.
- Tracking brand performance and analysing temporal trends in user feedback.
Coverage
The data is sourced exclusively from the amazon.com domain. The official date range covered for the core dataset is from 01 January 2020 through to 31 March 2020. The products reviewed span various major categories, including high representation from Beauty & Personal Care and Grocery & Gourmet Food sectors.
License
CC0: Public Domain
Who Can Use It
The dataset is ideal for:
- Data Scientists: For advanced textual analysis and model building.
- Market Researchers: To gain detailed insights into e-commerce consumer psychology and trends.
- E-commerce Strategists: To benchmark competitors and improve product listing quality.
- Academic Researchers: For studying the impact of social proof and online reviews.
Dataset Name Suggestions
- Amazon Customer Product Reviews Q1 2020
- E-commerce Consumer Feedback Data
- Amazon Verified Product Review Database
- PromptCloud & DataStock Review Analytics
Attributes
Original Data Source: Amazon Verified Product Review Database
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