Tutorials, industry analysis, and best practices for ecommerce data extraction, API integration, and competitive intelligence.
Amazon seller feedback by marketplace: /amazon-seller-review takes one sellerId and one marketplaceId per call, so checking a seller across DE, FR, IT and ES costs 4 credits, and a 404 on one marketplace is billed like a real answer, not a failure. A tested Python script builds a per-marketplace feedback table and shows what a billed 404 for no storefront looks like next to three normal answers.
/amazon-seller-review only rejects a blank sellerId; every other bad value, from a Buy Box placeholder to Amazon's own ID, reaches the seller lookup as a billed 404. A client-side check against the real seller ID shape and Amazon's own first-party IDs catches those before they cost a credit, tested against a fake HTTP layer with the real helper modules.
/amazon-product-offers returns one row per offer, not one row per seller: a seller selling the same ASIN via FBA and FBM, or in two conditions, gets two rows. Dedupe offers on sellerId, deliveryDate, condition and fulfillmentType, then count the distinct sellerId values, to get the real seller count for a listing.
Build an Amazon negative feedback alert: one daily call to the seller feedback endpoint, a saved baseline of counts and recent entries, and an e-mail for every new 1- or 2-star rating with its text. Handles the five-entry limit, the API's 2-star split and failed checks; tested Python included.
Check if Amazon is a seller on a listing with one API call: Amazon's own offers come back with sellerId "Amazon", the Buy Box tells you whether it is winning, and the statistics history shows when Amazon last held it - with curl and Python.
Turn an Amazon seller ID such as A2I59UVTUWUFH0 into a name, feedback numbers and storefront links: where seller IDs appear in API responses, which IDs belong to Amazon itself, and a cached lookup that pays for each ID once.
One request returns a seller's feedback counts for the last 30, 90 and 365 days and lifetime, the star rating per period and up to five recent comments. How the positive, neutral and negative counts are defined, how to spot a seller whose rating is sliding, and how to vet every seller on a listing.
Join thousands of developers using SellerMagnet API for real-time Amazon product intelligence. Start extracting data in minutes.
150 free API credits • No credit card required • Cancel anytime
Manage your cookie preferences. Strictly necessary cookies are always enabled.
These cookies are essential for the website to function.
These cookies help us understand how visitors interact with our website.
These cookies are used to track visitors and display relevant ads.
Tell us about your project and we'll get back to you within 24 hours.