Top Travel & Local apps in Mexico 🇲🇽
As of June 18, 2026, Airbnb is the #1 Travel & Local app in Mexico on Android.
AndroidiOS
#App / PublisherCategoryIntel
- 1
Travel - 2
Travel - 3—
- 4
Travel - 5
Travel - 61
Travel - 71
Travel - 8
Viajes - 91
Travel - 101
Travel - 112
Travel - 12
Travel - 132—
- 141
Navigation - 151
Navigation - 162
Travel - 17—
- 187
Utilities - 191
Viajes - 201—
- 21
Travel - 222
- 23—
- 242Metro CDMX
Jesús Alfredo Hernández Alarcón
— - 251—
- 262—
- 274
- 28—
- 293
Travel - 303—
- 312—
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- 335—
- 34
Navigation - 352
Estilo de vida - 361
Viajes - 371
Travel - 383
Viajes - 391
Travel - 4011—
- 41—
- 423—
- 431—
- 441—
- 452
- 461—
- 477
Viajes - 485
Travel - 493

- 504—
What changed
Movement between the previous day and June 18, 2026.
New entrants
- Taxsi conductor
#185


Renfe#198
Risers
- uaxi va por ti
#178 → #127
- AllRide - Shared Rides
#166 → #130
- Citi: Sigue tu ruta en tiempo
#182 → #146
- Digital Compass - GPS Compass
#119 → #85
Royalton Resorts#197 → #167
Fallers
- México Invita
#106 → #169
- Tu Invitame
#150 → #191
- Mobile Phone Number Locator
#85 → #115
- Heavy ATV Quad Bike Offroad
#157 → #184
- Iberostar Hotels & Resorts
#123 → #148
Methodology
Rankings are pulled daily from the Android store charts for Mexico. 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 Travel & Local app in Mexico on Android?
As of June 18, 2026, Airbnb is the #1 Travel & Local app in Mexico on Android, based on the public Android chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the Android charts for Mexico 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 Android store charts for Mexico. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.