Seller Feedback
The Seller Feedback operation (SELLER_FEEDBACK) returns the customer feedback entries left for an Amazon seller: rating, comment text, rater and date. You identify the seller with either a seller_id or the seller profile url, and you can filter the entries by star rating and time range.
When to use
- Benchmark competitors: compare how often customers mention late delivery, damaged items or poor service.
- Monitor your own seller account: pull new negative feedback (
max_rating=2) on a schedule and route it to your support team. - Track service quality over time: compare the last 1, 3 and 12 months with
history_range. - Run sentiment analysis: feed the comment text (
body) into your own classification pipeline. - Vet suppliers or acquisition targets: review a seller's feedback history before you work with them. For many sellers at once, use the Bulk API (
seller_idsorurlspayload).
What the response includes
- Feedback entries: star rating, comment text, rater name and whether the seller replied (
result.seller_feedback[]). - Dates: the feedback date as display text and as a Unix timestamp in milliseconds (
date.raw,date.timestamp). - Rater profile: the rater's avatar URL and the relative path of their Amazon profile (
profile.avatar,profile.url). - Pagination: one object per requested page, with the next page number to request (
result.pagination).
Seller details, star distribution and the feedback summary are not part of this operation. Use the Seller Profile operation for those.
Credit cost
Each page costs 1 credit, so a request costs max_page - min_page + 1 credits (at most 5). See Credit Consumption.