customerFeedback_getBrowseNodeReviewTrends
Month-by-month occurrence trends (past 6 months, newest first) of a browse node's top review topics — the category baseline for customerFeedback_getItemReviewTrends (US, UK, FR, IT
readAmazon Seller (SP-API)sp.customerFeedback_2024-06-01
, DE, ES, JP only). Call after customerFeedback_getBrowseNodeReviewTopics (both sortBy values); then customerFeedback_getBrowseNodeReturnTopics. Amazon SP-API · getBrowseNodeReviewTrends · GET /customerFeedback/2024-06-01/browseNodes/{browseNodeId}/reviews/trends
Call it
In an AI client (MCP)
{
"name": "customerFeedback_getBrowseNodeReviewTrends",
"arguments": {
"store": "myStore-US",
"browseNodeId": "<browseNodeId>"
}
}From code (Tool API)
curl -X POST https://api.sellersheetai.com/api/v1/tools/customerFeedback_getBrowseNodeReviewTrends \
-H "Authorization: Bearer $SELLERSHEET_API_KEY" \
-H "Content-Type: application/json" \
-d '{"store":"myStore-US","browseNodeId":"<browseNodeId>"}'Early access — the Tool API is open on request, contact us.
Arguments
| Name | Type | Description |
|---|---|---|
storerequired | string | the store ref `<store>-<CC>` (name-country, e.g. 'myStore-US') — one of get_user_context's store_refs, verbatim. |
browseNodeIdrequired | string | Browse node ID from customerFeedback_getItemBrowseNode. |
summarize | boolean | true returns the slim shape (~98 % smaller, ~55 KB → ~1 KB: flat cat_pct lists, allProducts only, no topTwentyFivePercentProducts or dateRange) — use it in AI workflows; default false returns Amazon's raw payload.Default: false |
Result
Every tool answers {notification, data, human_action}; data carries:
data.reviewTrends— the Amazon payload; the topics sit one level down under a second reviewTrends key (data.reviewTrends.reviewTrends) in both shapes.data.reviewTrends.Raw— {browseNodeId, displayName, marketplaceId, countryCode, dateRange: {startDate, endDate}, reviewTrends: {positiveTopics: [TrendTopic], negativeTopics: [TrendTopic]}}, TrendTopic = {topic, trendMetrics: [Period]}, one Period per month, newest first = {dateRange, browseNodeMetrics: {occurrencePercentage: {allProducts, topTwentyFivePercentProducts}}} (category-level — no asinMetrics). Slim: {positiveTopics: [SlimTrend], negativeTopics: [SlimTrend]}, SlimTrend = {topic, cat_pct: [float] (the category's monthly allProducts occurrencePercentage, newest first)}.