What is Amazon Data? Examples, Datasets and Providers 2024?
What is Amazon Data?
Amazon Data includes a broad range of information collected from various public sources related to Amazon’s marketplace. This data is used for various purposes, such as improving customer experience, personalizing recommendations, optimizing operations, and making data-driven business decisions.
What Are Examples of Amazon Data?
Examples of Amazon Data include aggregated sales trends, product availability, and customer reviews.
These are the key data categories:
- Product Data: Product listings, pricing, stock availability, product features, images.
- Sales Data: Sales rank, best seller data, estimated sales volumes.
- Amazon Seller Data: Seller profiles, performance metrics, fulfillment method (FBA/FBM).
- Amazon Reviews Data: Customer reviews, review count, verified purchase indicator, review trends.
- Amazon Keyword Data: Search terms, sponsored product keywords.
- Amazon SERP Data: Organic and sponsored listings, search rank tracking.
- Amazon Marketplace Data: Global marketplace and country-specific product data.
- Amazon Shipping Data: Shipping times, costs, fulfillment information.
- Amazon Advertising Data: Sponsored product ads, keyword targeting.
- Amazon Affiliate Data: Affiliate links, estimated affiliate revenue.
- Amazon Competitor Pricing Data: Price comparison, price history.
- Amazon Seller Central Data: Limited public data available to sellers through Seller Central.
Best Amazon Datasets & APIs
Amazon Seller Directory 2024 | Amazon Seller Database USA, FR, Germany, ESP, UK, Italy, CA | List of Amazon Sellers | 200K+ Amazon Seller Leads|
Webautomation | Amazon Data | Web Scraping Data | Amazon Web Extraction | GDPR compliant
Amazon Data | Ecommerce Data | Amazon Product Data | Amazon Reviews Data | No Infra Cost | Pre-built AI & Automation | 50% Cost Saving | Free Sample
Amazon Sellers & Non Amazon Sellers Data | 1.5M+ Contacts | (Verified E-mail, Direct Dails) | Decision Makers Contact Details | 20+ Attributes |
Amazon Data API | Amazon Reviews Data | Global Coverage | 45M+ Products Collected
Grepsr| Buy Box Monitoring Data Service from Amazon | Global Coverage
TagX Ecommerce Product Data | Ecommerce Product listing Details, Pricing, Reviews | Amazon, Flipkart, Tmall & more | Global Coverage | Monthly updates
OpenWeb Ninja | Amazon Data, Product Data, Product Reviews Data, Product Offers, Best Sellers, Deals + More | Ecommerce Data | API | Real-Time
Amazon Data & Amazon Reviews Data | eBay Data | Alibaba & AliExpress Data | Global Product Data | Unlimited Free Data Points | GDPR Compliant
Amazon Email Receipt Data | Consumer Transaction Data | Asia, EMEA, LATAM, MENA, India | Granular & Aggregate Data available
Monetize data on Datarade Marketplace
Top Amazon Data Providers
These Amazon data providers are trusted to supply up-to-date and externally verified data about sellers, products and customer reviews from across Amazon Marketplace and its various sister companies. Always ask for a sample before purchasing.
Amazon Data Use Cases
Amazon Data Attributes
The main attributes of Amazon data are:
- Product Information: This includes details such as Universal Product Codes (UPC) and industry classifications.
- Merchant Name: Information about the sellers or merchants offering products on Amazon.
- Customer Reviews: Aggregated reviews and ratings provided by customers.
- Amazon Category: Classification of products into various categories on Amazon.
How is Amazon Data collected?
There are a few methods for Amazon data collection:
- Public Data Sources: Aggregating data from publicly accessible sources like customer reviews and ratings.
- Online Surveys: Online surveys collect Amazon data by asking Amazon users about their experience with a vendor or product.
Amazon Data Quality Assessment
The quality of Amazon data is dependent completely on how it’s used: e-commerce website owners have to keep stocks on a wide range of goods on their site, depending on customer order decisions, demand and supply, and prevailing market trends.
Here are some points you should keep in mind when looking to buy Amazon data:
- Data Source: Origin of the data.
- Data Collection Technologies: Technologies employed in gathering the data.
- Accuracy Checks: Methods used to ensure data accuracy.
- Data Formats: Available formats for the data.
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