Apps competing for the same keywords
app_competitors is a $0.20 GET request on the Wuthering AI API. Find the apps that rank for the same App Store terms as yours. It answers complete JSON, and a call that fails is not charged.
Endpoint
GET /v1/app_competitors
Price per successful call
$0.20
Failed calls
Not charged
curl 'https://wutheringai.com/v1/app_competitors?app_id=…&token=YOUR_TOKEN'
What does app_competitors return, and when should you call it?
Return apps whose App Store keyword sets overlap with a given app.
App Store only. The seed app is returned as the first row, so drop it before analysing. Competition here is by revealed keyword overlap, not by category labelling.
Returns: app_id, title, developer, rating, and the count of intersecting keywords.
Use to find who is fighting for the same store traffic. Don't use for web competitors, which is wuthering_domain_competitors.
What parameters does app_competitors take?
app_competitors accepts 4 parameters, of which 1 is required. Array values are comma-separated on the query string.
| Parameter | Type | Required | Description |
|---|---|---|---|
| app_id | string | yes | Numeric Apple app id to find competitors for. |
| location_code | number | no | Numeric location code to scope results to. Defaults to 2840 (United States). Search volume and competition vary sharply by country, so set this when the question is about a specific market.Defaults to 2840 |
| language_code | string | no | ISO language code for results, for example 'en' or 'de'. Defaults to 'en'.Defaults to en |
| limit | number | no | Maximum rows to return (1 to 1000, default 50). Ask for the fewest that answer the question: every row is billed and spends the caller's context.Defaults to 50 |
Which playbooks call app_competitors?
1 of the research playbooks name app_competitors in their method. Each is free to read and says where in the sequence the call belongs.
Reference for app_competitors · last updated · published by Wuthering AI