Top Lifestyle apps in Spain 🇪🇸
As of June 3, 2026, Booksy for Customers is the #1 Lifestyle app in Spain on iOS.
iOSAndroid
#App / PublisherCategoryIntel
- 1
- 2
Estilo de vida - 31
- 41
- 5
- 6
- 7
- 8
- 9
Estilo de vida - 101
- 111
- 12
Estilo de vida - 1311
Estilo de vida - 141
- 153
- 166
- 171
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- 195
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- 223
Estilo de vida - 233
Stili e tendenze - 242
Estilo de vida - 252
- 2617
Estilo de vida - 273
Estilo de vida - 281
Estilo de vida - 291
- 309
Estilo de vida - 3116
Estilo de vida - 323
- 3318
Estilo de vida - 347
Estilo de vida - 354
Estilo de vida - 363
Estilo de vida - 3713
Estilo de vida - 38
- 394
- 407
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- 428
FitPro深圳市威尔健康管理科技有限公司
Estilo de vida - 4311
- 441
Estilo de vida - 4524
- 468
Estilo de vida - 4711
Estilo de vida - 484
Estilo de vida - 496
- 501
Style de vie
What changed
Movement between the previous day and June 3, 2026.
New entrants
- Gadis
#95
SeTracker2#100
Risers
myEYC - European Youth Card#100 → #72
- Arlo Secure: Home Security
#69 → #45
Vip District#82 → #60
- Movistar Prosegur Alarmas
#51 → #33
Spotahome: Apartments & rooms#74 → #56
Fallers
Cutmax: Tu Corte Ideal con IA#48 → #83
WedShoots#65 → #92
I Am Sober#66 → #86
Alarmy - Loud alarm clock#46 → #64
- Evo
#15 → #31
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 3, 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.