# customerFeedback_getBrowseNodeReviewTrends (https://sellersheetai.com/docs/mcp-api/tools/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

Access: **READ** · toolset amazon_sp · family 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

MCP tool call:

```json
{
  "name": "customerFeedback_getBrowseNodeReviewTrends",
  "arguments": {
    "store": "myStore-US",
    "browseNodeId": "<browseNodeId>"
  }
}
```

Tool API (early access — contact us):

```bash
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>"}'
```

## Arguments

| Name | Type | Required | Description |
|---|---|---|---|
| `store` | string | yes | the store ref `<store>-<CC>` (name-country, e.g. 'myStore-US') — one of get_user_context's store_refs, verbatim. |
| `browseNodeId` | string | yes | 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. |

## Result

- `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)}.