What is Amazon Sellers Data? Examples, Datasets and Providers
What is Amazon Sellers Data?
Amazon sellers data refers to information about sellers and their products on the Amazon marketplace. It’s used to analyze market trends, optimize product listings, and track competitors.
What Are Examples of Amazon Sellers Data?
Examples of Amazon sellers data include datasets offering insights into marketplace dynamics. Key examples include:
- Seller Profiles: Details about sellers, including names, locations, and ratings.
- Product Listings: Information on products offered, descriptions, and categories.
- Pricing Data: Current prices, discounts, and historical price trends.
- Customer Reviews: Feedback and ratings on seller products.
Best Amazon Sellers Databases, Datasets & API
The best Amazon sellers datasets provide detailed insights into seller profiles, product performance, and pricing trends. This curated list features the top Amazon sellers datasets and APIs, selected for precision, quality, and trusted providers where you can buy Amazon sellers data.
Amazon Sellers & Non Amazon Sellers Data | 1.5M+ Contacts | (Verified E-mail, Direct Dails) | Decision Makers Contact Details | 20+ Attributes |
Amazon Seller Directory 2024 | Amazon Seller Database USA, FR, Germany, ESP, UK, Italy, CA | List of Amazon Sellers | 200K+ Amazon Seller Leads|
Amazon seller lists - 960k+ sellers from 7 international marketplaces | scrapelabs.io
Amazon Data, Product Data, Product Reviews, Best Sellers & Deals + More | E-Commerce Data | Real-Time API
SellerDirectories | UK Amazon Sellers Data | Trusted human researched UK Sellers Database | B2B Lead Direct Email Phone | 30K records
Amazon Data | Amazon Product Data | Amazon Reviews Data | Seller Performance, Product Rankings for Competitive Analysis
Grepsr| Buy Box Monitoring Data Service from Amazon | Global Coverage
Amazon Data API | Amazon Reviews Data | Global Coverage | 45M+ Products Collected | NLP Extraction & Search | Real Time Updates
Rainforest API | Amazon Product & Search Results Data
Shopify and Amazon China seller lists
Monetize data on Datarade Marketplace
Popular Use Cases for Amazon Sellers Data
Generally, Amazon sellers data is used by sellers to gain insights into their product performance compared to competitors, optimize pricing, plan demand, improve conversion rates, and refine marketing strategies. Here’s a closer look at three core use cases for this kind of database.
Main Attributes of Amazon Sellers Data
Here’s a table of the main attributes you might find on Amazon Sellers Datasets:
| Attribute | Description |
|---|---|
| Seller ID | Unique identifier for each Amazon seller |
| Seller Name | Name of the Amazon seller |
| Seller Location | Location of the seller’s business |
| Seller Rating | Rating or feedback score of the seller |
| Number of Ratings | Total number of ratings received by the seller |
| Product Category | Category of products sold by the seller |
| Product Count | Total number of products listed by the seller |
| Order Fulfillment | Method used by the seller to fulfill orders |
| Shipping Options | Shipping options provided by the seller |
| Return Policy | Seller’s policy regarding product returns |
| Product Reviews | Reviews and ratings of the seller’s products |
| Branding | Branding efforts and brand recognition of the seller |
Frequently Asked Questions
How is Amazon Seller Data Collected?
Amazon seller data is collected using a combination of advanced scraping techniques and public databases. To ensure high quality, the data undergoes rigorous verification processes, including email and phone validation. Our recommendation: Prioritize datasets that offer verified contact details and regular updates to keep your campaigns effective.
What Attributes are Included in Amazon Seller Data?
Amazon seller datasets typically include attributes such as full names, business addresses, seller IDs, product niches, seller reviews, and FBA (Fulfilled by Amazon) or non-FBA status. Some datasets may also provide LinkedIn URLs, email addresses, and phone numbers of decision-makers. Our recommendation: Look for datasets with attributes tailored to your specific marketing or sales goals to maximize value.
How Accurate and Reliable is Amazon Seller Data?
High-quality Amazon seller datasets boast accuracy rates of up to 99%, with regular updates ensuring the data remains current. Providers often use manual verification, machine learning algorithms, and real-time updates to maintain reliability. Our recommendation: Always inquire about the provider’s validation process and refresh frequency to ensure the data meets your standards for accuracy.
How is Amazon Seller Data Secured and Compliant?
Amazon seller data is collected from publicly available sources in compliance with data privacy regulations like GDPR. Secure delivery methods, such as encrypted APIs and SFTP, are used to protect the data during transfer. Providers also anonymize sensitive information when necessary. Our recommendation: Confirm the provider’s adherence to global data security and privacy standards to ensure ethical usage.
How is Amazon Seller Data Delivered?
Amazon seller data is typically delivered in formats like CSV, JSON, and XML, ensuring easy integration into CRM systems, analytics tools, and other platforms. Delivery methods include REST APIs, SFTP, and email, with options for real-time, daily, or custom schedules. Our recommendation: Choose a delivery format and frequency that aligns with your operational needs for seamless data integration.
How Much Does Amazon Seller Data Cost?
Pricing models for Amazon seller data vary based on the volume of data, coverage, and delivery frequency. Options include one-off purchases, monthly subscriptions, yearly licenses, and usage-based pricing. Many providers also offer free samples or trials to evaluate the data quality. Our recommendation: Take advantage of free data sample to assess the data’s value before committing to a plan that fits your budget.
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