Top Food & Drink — Top Grossing apps in Mexico 🇲🇽
As of June 10, 2026, Vivino: Drink The Right Wine is the #1 Food & Drink — Top Grossing app in Mexico on iOS.
#App / PublisherCategoryIntel
- 1
- 25
- 3
- 4
- 53
Comida y bebida - 64
- 73
- 81
- 94
- 106
- 115
- 1250
- 13NEW
- 141
- 1515
- 16NEW
Gastronomia e bebidas - 17
- 18NEW
- 1940
- 205
- 217
- 221
- 2312
- 2412
Comida y bebida - 2511
Comida y bebida - 261
Comida y bebida - 279
- 289
- 2970
- 30NEW
Comida y bebida - 31NEW
- 32NEW
Comida y bebida - 33NEW
Cibi e bevande - 344
- 35NEW
- 3616
Cuisine et boissons - 37NEW
- 386
- 3917
- 4017
- 4117
- 4216
- 4316
- 4415
- 45NEW
Comida y bebida - 4615
Comida y bebida - 4716
Comida y bebida - 4815
- 4915—
- 5015
What changed
Movement between the previous day and June 10, 2026.
New entrants
Risers
- Paprika Recipe Manager 3
#99 → #29
- Youmeal: Recipe Keeper
#62 → #12
- Anova Culinary
#59 → #19
- FODMAP - recetas de IA
#63 → #47
- Pick Up Limes
#30 → #15
Fallers
- Oeni: #1 Wine Cellar Manager
#22 → #39
- Keto Diet App & Recipes
#23 → #40
- Wine Scanner by FINEWINE
#24 → #41
- Recette Air Fryer en Français
#20 → #36
- Pantrio: Save Recipes
#26 → #42
Methodology
Rankings are pulled daily from the iOS 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 Food & Drink — Top Grossing app in Mexico on iOS?
As of June 10, 2026, Vivino: Drink The Right Wine is the #1 Food & Drink — Top Grossing app in Mexico on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS 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 iOS store charts for Mexico. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.