What is Amazon Data? Examples, Datasets and Providers 2025?
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
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 Databases & Datasets
Here is our curated selection of top Amazon Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Webautomation | Amazon Data | Web Scraping Data | Amazon Web Extraction | GDPR compliant
Amazon Data | Amazon Product Data | Amazon Reviews Data | Seller Performance, Product Rankings for Competitive Analysis
Amazon Seller Directory 2025 | Amazon Seller Database USA, FR, Germany, ESP, UK, Italy, CA | List of Amazon Sellers | 200K+ Amazon Seller Leads|
Amazon Sellers & Non Amazon Sellers Data | 1M+ Contacts | (Verified E-mail, Direct Dails) | Decision Makers Contact Details | 20+ Attributes
Amazon Data & Amazon Reviews Data | eBay Data | Alibaba & AliExpress Data | Global Product Data | Unlimited Free Data Points | GDPR Compliant
Global Ecommerce Data for Emerging Markets | Amazon Data | Granular Transactional E-receipt Data | Weekly/ Monthly Delivery | 3y Historical Data
Best Seller Ranking Data from Amazon | Amazon Best Seller Data | Global Coverage | Identify Best-Selling Items for Competitive Intelligence
Amazon Product Reviews and Ratings | Amazon Data Extraction Services
Amazon seller lists - 960k+ sellers from 7 international marketplaces | scrapelabs.io
DATAANT | Amazon Data | Dataset, API | Product by keyword, by category, by seller | 19 countries | 20+ Attributes
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Top Amazon Data Providers & Companies
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APISCRAPY
CoverageUSAUK+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
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Lead for Business
CoverageUSAUK+248MGreat people to work with! Quick and easy transactions, and data has been very accurate. Data is easy to import into CRM, and feedback has been great! They are helping take my business to the next level! Will be using them again!
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Grepsr
CoverageUSAUK+247VUtilizing Grepsr's data solutions, we employed their capabilities to efficiently retrieve a substantial volume of job posting information. The acquired dataset played a pivotal role in supporting our strategic marketing initiatives, demonstrating the versatility and effectiveness of Grepsr's data services in enhancing our business intelligence and outreach endeavors.
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Webautomation
CoverageUSAUK+248VI bought some Firmographic data from webautomation to use as part of our AI stack. The price was fair and the data quality was very good. Great service all round. Would highly recommend their service.
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TagX
CoverageUSAUK+248VWe requested data in the form of various forms and documents associated with Tax and Bookkeeping that we plan to use to developing a digital document processing solution based on artificial intelligence.
Popular Use Cases for Amazon Data
Amazon Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Amazon Data.
Main Attributes of Amazon Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a company or business, might be the legal or brand name. | View 14 datasets | |
| String | The name of a brand. | View 12 datasets | |
| String | The official website of a company. | View 12 datasets | |
| String | The name of a country. | View 11 datasets | |
| String | The Amazon Standard Identification Number (ASIN) of a product. | View 10 datasets | |
| String | The name of a city. | View 9 datasets |
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.
Frequently Asked Questions
How is the Quality of Amazon Data Maintained?
The quality of Amazon Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Amazon Data Updated?
The update frequency for Amazon Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Amazon Data Secure?
The security of Amazon Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Amazon Data Delivered?
Amazon Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Amazon Data.
How Much Does Amazon Data Cost?
The cost of Amazon Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Amazon Data for your needs.
What Are Similar Data Types to Amazon Data?
Amazon Data is similar to other data types, such as Alibaba Data, Amazon Sellers Data, Bigcommerce Data, eBay Data, and AliExpress Data. These related categories are often used together for applications like Ecommerce Intelligence.
