Top Lifestyle apps in Spain 🇪🇸
As of June 2, 2026, Booksy for Customers is the #1 Lifestyle app in Spain on iOS.
iOSAndroid
#App / PublisherCategoryIntel
- 13
- 2
Estilo de vida - 32
- 41
- 513
- 61
- 7
- 864
- 94
Estilo de vida - 102
- 111
- 125
Estilo de vida - 134
- 14
- 159
Estilo de vida - 164
- 176
- 182
- 194
- 201
Stili e tendenze - 211
- 227
- 233
- 2412
Estilo de vida - 254
Estilo de vida - 263
Estilo de vida - 273
Estilo de vida - 28
- 2915
- 3016
Estilo de vida - 314
Estilo de vida - 3223
- 3317
Estilo de vida - 342
FitPro深圳市威尔健康管理科技有限公司
Estilo de vida - 3514
- 361
Estilo de vida - 377
Estilo de vida - 387
- 391
Estilo de vida - 4018
- 417
Estilo de vida - 421
- 43NEW
Estilo de vida - 441
Estilo de vida - 455
Estilo de vida - 4613
- 4712
- 4823
Estilo de vida - 4910
Style de vie - 501
Estilo de vida
What changed
Movement between the previous day and June 2, 2026.
New entrants
Risers
- SafeNow®
#72 → #8
Movistar Prosegur Alarmas#85 → #51
Volkswagen#81 → #56
- Couple Joy - Relationship App
#55 → #32
- Liggo: Frases para Ligar IA
#50 → #33
Fallers
WedShoots#33 → #65
SaveFamily#42 → #68
Wello - Monitor do Coração#43 → #67
- Cutmax: Tu Corte Ideal con IA
#25 → #48
Whering: Your Digital Closet#54 → #76
Methodology
Rankings are pulled daily from the iOS store charts for Spain. We snapshot the top entries each day and compute day-over-day change relative to the prior snapshot. See our full methodology for data sources, refresh cadences, and quality filters.
Frequently asked questions
What is the #1 Lifestyle app in Spain on iOS?
As of June 2, 2026, Booksy for Customers is the #1 Lifestyle app in Spain on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS charts for Spain every day and computes day-over-day movement. The "Current" page always reflects the latest snapshot; dated archive pages preserve each day's top 50.
Where does Marlvel's ranking data come from?
Rankings are pulled from the public iOS store charts for Spain. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.