Top Food & Drink — Top Grossing apps in Brazil 🇧🇷
As of May 21, 2026, BLW Brasil Alimentação Bebês is the #1 Food & Drink — Top Grossing app in Brazil on iOS.
#App / PublisherCategoryIntel
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- 52

- 6

- 73

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- 91

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- 11

- 125

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- 1517

- 16NEW

- 173

- 18NEW

- 19

- 2016

- 218
Comida y bebida - 22NEW—
- 233

- 2440—
- 25NEW

- 2610

- 275
Gastronomia e bebidas - 283

- 2928

- 30NEW

- 31
Gastronomia e bebidas - 326

- 33NEW

- 3416

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- 36NEW

- 3758

- 3848
Gastronomia e bebidas - 3912
クラシル - 毎日の献立に!レシピ動画で料理がおいしく作れるKurashiru, Inc
Gastronomia e bebidas - 4033

- 4135

- 4221

- 4320
Comida y bebida - 4414
Gastronomia e bebidas - 45NEW

- 4622
Gastronomia e bebidas - 4719
Gastronomia e bebidas - 4819
Gastronomia e bebidas - 4919—
- 5017
Comida y bebida
What changed
Movement between the previous day and May 21, 2026.
New entrants
Risers
Pick Up Limes#95 → #37
ADEGA#86 → #38
- Start Solids & Baby Recipes
#64 → #24
Keto Diet App & Recipes#76 → #41
Mixel - Cocktail Recipes#73 → #40
Fallers
Cardápio Digital QR - Criar#24 → #46
Recipe Keeper#21 → #42
Dieta para embarazadas, platos#23 → #43
Cook AI: Assistente de Cozinha#28 → #47
NutriPic: Contador Calorias IA#29 → #48
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 21, 2026, BLW Brasil Alimentação Bebês 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.