Top Food & Drink — Top Grossing apps in Indonesia 🇮🇩
As of June 5, 2026, Cookpad Recipes, homemade food is the #1 Food & Drink — Top Grossing app in Indonesia on iOS.
#App / PublisherCategoryIntel
- 1

- 238

- 31—
- 41

- 519
Comida y bebida - 627
咖啡人 · 每日咖啡記錄鹏 蒋
美食佳飲 - 73

- 8

- 9NEW

- 105

- 115

- 125

- 133

- 145

- 152

- 16NEW

- 176

- 186

- 195
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 - 205
Seeya宇华 高
- 215

- 225
Comida y bebida - 235

- 245

- 255

- 265

- 275

- 285

- 294

- 304

- 314

- 324

- 334

- 344

- 354
美食佳飲 - 364
Gastronomia e bebidas - 373

- 383
- 393

- 403

- 413
Comida y bebida - 423
Comida y bebida - 432

- 442
Gastronomia e bebidas - 452
Comida y bebida - 462

- 472—
- 482

- 493

- 503

What changed
Movement between the previous day and June 5, 2026.
New entrants
Risers
Pam Fitness & Food#40 → #2
咖啡人 · 每日咖啡記錄#33 → #6
KitchenCost - Costo de Recetas#24 → #5
Fallers
Official Cookidoo App#69 → #85
Calculation of recipes#60 → #71
BabyPlate: Starting Solids#68 → #77
Mob: Meal Planner and Recipes#11 → #17
Wine-Searcher#12 → #18
Methodology
Rankings are pulled daily from the iOS store charts for Indonesia. 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 Indonesia on iOS?
As of June 5, 2026, Cookpad Recipes, homemade food is the #1 Food & Drink — Top Grossing app in Indonesia on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS charts for Indonesia 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 Indonesia. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.