Top Food & Drink — Top Grossing apps in Brazil 🇧🇷
As of May 31, 2026, Vivino: Drink The Right Wine is the #1 Food & Drink — Top Grossing app in Brazil on iOS.
#App / PublisherCategoryIntel
- 1
- 2
- 3
- 42
- 5
- 62
- 7
- 84
- 91
- 102
- 112
- 127
- 131
- 143
- 152
- 16NEW
- 173
- 189
Gastronomia e bebidas - 1938
- 20NEW—
- 214
- 226
Gastronomia e bebidas - 23
- 243—
- 2510
- 2616
- 2716
Gastronomia e bebidas - 2836
- 2913
Comida y bebida - 3013
Gastronomia e bebidas - 3113
Comida y bebida - 32NEW
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- 34NEW
- 35NEW
Gastronomia e bebidas - 361
Gastronomia e bebidas - 3714
Gastronomia e bebidas - 3816
Comida y bebida - 3917
- 4016
- 4152
- 4216
- 431
- 4438
Gastronomia e bebidas - 4543
Comida y bebida - 4617
- 4717
- 4817
- 4917
- 5016
Gastronomia e bebidas
What changed
Movement between the previous day and May 31, 2026.
New entrants
- Oh She Glows
#34
Risers
- Crouton: Recipe Manager
#93 → #41
- Gluten Morgen
#88 → #45
- Anova Culinary
#57 → #19
- Wino: Identifique Vinhos
#82 → #44
- Cookpad Recipes
#64 → #28
Fallers
- SOMM TV
#29 → #46
- Green Kitchen
#30 → #47
- CellarEye: Wine Tracker
#31 → #48
- World of Mouth
#32 → #49
- Meal Planner
#35 → #52
Methodology
Rankings are pulled daily from the iOS store charts for Brazil. 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 Brazil on iOS?
As of May 31, 2026, Vivino: Drink The Right Wine is the #1 Food & Drink — Top Grossing app in Brazil on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS charts for Brazil 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 Brazil. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.