One app's featuring history and impact
sensortower_featured_historyRetrieve an app's App Store featuring history: mode=creatives lists each placement with position and download attribution; mode=impacts aggregates occurrences and downloads by country or type.
Instructions
mode=creatives lists every featuring the app received, with position and download attribution. mode=impacts aggregates occurrences and downloads by country or type; its *_series arrays carry NO dates (index 0 is start_date, one element per day), so set series=true to have them zipped back onto real dates. Invalid filters here return a 200 with empty arrays rather than a 422, so an empty result may just mean a bad filter.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| os | No | Store to query. This endpoint has no unified variant. | ios |
| mode | No | creatives | |
| limit | No | Keep at most this many rows. | |
| types | No | ||
| app_id | Yes | ||
| fields | No | Comma-separated allowlist of output fields. Strongly recommended: SensorTower rows are wide. | |
| format | No | Output encoding. csv is markedly cheaper in tokens for wide, flat results. | |
| series | No | mode=impacts: expand the daily series (needs start_date). | |
| dry_run | No | Print the URL that would be called (token redacted) and charge 0 requests. | |
| nonzero | No | With series=true, drop days where both values are 0. | |
| end_date | No | ||
| breakdown | No | mode=impacts only. | country |
| countries | No | ||
| start_date | No |