Top Food & Drink — Top Grossing apps in Mexico 🇲🇽
As of July 2, 2026, Vivino: Drink The Right Wine is the #1 Food & Drink — Top Grossing app in Mexico on iOS.
#App / PublisherCategoryIntel
- 11

- 21

- 31

- 41

- 51

- 61

- 7

- 852

- 91

- 10

- 1120

- 123
Comida y bebida - 131
Comida y bebida - 145

- 156

- 16

- 1756

- 185

- 196
Essen und Trinken - 20NEW

- 2110

- 225

- 237—
- 245
Comida y bebida - 252

- 26NEW

- 2719

- 288

- 291

- 3016

- 3127

- 3236

- 3315
Comida y bebida - 3415

- 35NEW
Comida y bebida - 36NEW

- 3715

- 3815

- 3915

- 405

- 4158
Comida y bebida - 4216
Comida y bebida - 4311
Comida y bebida - 4410
Comida y bebida - 4512
Comida y bebida - 4612
Comida y bebida - 4712
Comida y bebida - 4812

- 49NEW
Comida y bebida - 50NEW

What changed
Movement between the previous day and July 2, 2026.
New entrants


Taste Ai#35


Risers
Starbucks secret menu!#99 → #41
CibouScan#73 → #17
Mob: Meal Planner and Recipes#60 → #8
Starbucks Secret Menu Plus#68 → #32
SOMM TV#58 → #31
Fallers
Honeydew: Capture Recipes#14 → #30
FODMAP - recetas de IA#26 → #42
Biotiful App: tu cocina fácil#18 → #33
Epicurious#19 → #34
ResX#22 → #37
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 July 2, 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.