Own Your Amazon Price Tracker Data

The best Amazon price tracker is the one you own

You can now directly access ASIN-level product tracker data directly from Amazon APIs. Unlike other product pricing tracking tools, Openbridge delivers product pricing data directly to a private cloud warehouse or data lake like Amazon Redshift, Google BigQuery, Snowflake, Databricks, Azure Data Lake, and Amazon Athena. You own the data.

There are no bots or screen scraping. Direct from Amazon’s API, pricing data unlocks new opportunities for your efforts with competitive intelligence, sales rank tracking, buy box insights, and more.

Direct, Authoritative Amazon Product Pricing Data

This rich, extensive ASIN-level product data comes directly from Amazon to your private cloud warehouse or data lake every hour. Here is a collection of key data elements included in the feeds:

1. ASIN & Seller ID: Identifies the product and the seller.
2. Lowest Prices: Includes details about the lowest prices for different conditions and fulfillment channels.
3. Sales Rank: Provides the sales ranking of the product in specific categories.
4. Price Details: Includes listing price, shipping cost, and points value.
5. Item Condition: Indicates the condition of the items (e.g., New, Used, Collectible).
6. Total Offer Count: The number of total offers available for the ASIN.
7. Number of Offers by Condition and Fulfillment Channel: Breakdown of offers based on their condition (e.g., New, Used) and fulfillment channel.
8. Buy Box Winner & Featured Merchant: Indicates if the seller is a Buy Box winner or a featured merchant.
9. Buy Box Prices: Details of prices for Buy Box eligible offers.
10. Buy Box Eligible Offers: Information about offers eligible for the Buy Box is critical as the Buy Box winner is often the default choice for customers.
11. Ships From: Location details from where the product is shipped.
12. Fulfillment by Amazon (FBA): Indicates whether Amazon fulfills the order.
13. Prime Information: Whether the offer is prime eligible and its type.
14. Seller Feedback Rating and Counts: This represents the percentage of positive feedback and the total number of feedback entries received by the seller.

Custom, Owned Amazon Product Pricing Tracker

Our code-free, automated, and unified delivery of product pricing data enables teams to utilize their preferred analytical tools, such as Google Data Studio, Tableau, Microsoft Power BI, Looker, or Amazon Quicksight, for various purposes, including machine learning, business intelligence, data modeling, and online analytical processing.

Power BI Amazon product pricing tracking chart

Here are all the different types of analysis you can undertake with direct access to product pricing data:

1. Price Analysis Over Time: Analyze how prices of products change over time. This can be done by tracking the price history of specific ASINs (Amazon Standard Identification Numbers) and identifying patterns or trends.
2. Competitive Analysis: Compare prices and conditions (new, used, etc.) different sellers offer for the same products. This helps in understanding Amazon's competitive landscape for various products.
3. Seller Performance Analysis: Evaluate sellers’ performance based on metrics like number of sales, the buying box winner frequency, and fulfillment method (Fulfilled by Amazon or not). This can help identify top-performing sellers in each category.
4. Product Condition Impact: Investigate how the condition of a product (new, used, refurbished, etc.) affects its price and saleability.
5. Fulfillment Method Analysis: Compare the performance of products fulfilled by Amazon versus those fulfilled by sellers directly in terms of sales volume, customer preference (Prime eligibility), and pricing.
6. Time Series Forecasting: Use historical data to forecast future price trends, sales, or demand for certain products or categories.
7. Geographical Analysis: If location data is available, analyze geographical trends in pricing and sales. Understand which products are popular in specific regions.
8. Customer Review Impact: If linked with customer review data, analyze how ratings and reviews impact the sales and pricing of products.
9. Inventory Management Insights: For sellers, understanding how inventory levels relate to prices and sales can help in efficient inventory management.
10. Market Gap Analysis: Identify potential market gaps by analyzing products with high demand but low competition or where current offerings are not meeting customer satisfaction.

Get Started Automating Amazon Product Pricing API Data— For Free.

Take control and own your data. Ditch the bots and screen scrapers for code-free automation access to Amazon API product pricing data. Openbridge integration is a code-free, fully automated API integration.

Sign up for a 30-day free trial of our Amazon Product Pricing Data code-free automation.