Demand dynamics over time
dynamicsGet time series data showing how demand for a search phrase changes over time, including count and share of Yandex searches. Specify daily, weekly, or monthly periods to analyze seasonality and trends.
Instructions
Returns how demand for a phrase changed over time — a series of {date, count, share}, where share is the fraction of all Yandex searches. Use it for seasonality and trend. period sets the granularity (daily/weekly/monthly). fromDate/toDate bound the range as RFC3339 timestamps, and toDate must align to the period boundary.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| period | No | Granularity of the series. Default monthly. | |
| phrase | Yes | The search phrase to research. | |
| toDate | No | Range end (RFC3339), aligned to the period boundary. | |
| devices | No | Device filter: any of all, desktop, phone, tablet. Omit for all devices. | |
| fromDate | No | Range start (RFC3339), e.g. 2026-01-01T00:00:00Z. | |
| regionIds | No | Region ids to scope demand to, e.g. [213] (Moscow), [2] (St. Petersburg). Get ids from list_regions. Omit for all regions. |