> ## Documentation Index
> Fetch the complete documentation index at: https://docs.alura.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Trending

> Rising and new products, shops and keywords on Etsy.

Trending finds products and shops whose estimated sales are growing, and new ones that already sell.

* `GET /v1/research/products/trending` and `GET /v1/research/shops/trending` take `type`:
  * `rising` (the default): ranked by `est_trend_3m`, the change in estimated sales between the last three completed months and the three before. An item needs a trend for the last completed month (its history reaches that month) and at least 30 estimated sales a month on average.
  * `new`: products listed, or shops opened, in the last 90 days, ranked by `est_monthly_avg`, with at least 10 estimated sales a month.
* Filter products with `category_id` and shops with `category`, plus the price and sales filters search has.
* Each item is the same summary search returns, plus `sales.est_trend_3m` and `sales.est_last_month`. The list's `summary.trend_window` names the six months compared, for example `{ "from": "2026-04", "to": "2026-09" }`.
* `GET /v1/research/keywords/trending` lists the keywords whose Etsy searches rose the most over the last three months, among keywords with at least 500 estimated Etsy searches a month. It covers English (`language=en`) for now. See [Keyword research](/guides/keyword-research).

`GET /v1/research/products/trending` and `GET /v1/research/shops/trending` each cost 10 API credits per page with results, like a search. In an AI assistant, the `get_trending` tool covers all three. Trending never fetches anything from Etsy.

## Coverage

Only items Alura has refreshed recently can qualify, because the trend needs sales history up to the last completed month. Alura refreshes more items over time, so trending covers more of Etsy as that grows. Until then, an item missing from trending is not proof that it isn't rising: check it directly with `GET /v1/research/products/{id}`, which reports `est_trend_3m` whenever its history allows.

The thresholds above can change as we learn what works; `trend_window` always tells you which months a result compares. How the trend is computed: [Sales trend](/methodology/sales-trend).


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