Top Food & Drink — Top Grossing apps in Indonesia 🇮🇩
As of May 29, 2026, Cookpad Recipes, homemade food is the #1 Food & Drink — Top Grossing app in Indonesia on iOS.
#App / PublisherCategoryIntel
- 1
- 23—
- 31
- 43
- 52
- 62
- 72
- 86
- 9NEW
- 10NEW—
- 111
- 126
- 134
- 146
Comida y bebida - 1535
- 1632
- 17NEW
- 1845
- 1928
Comida y bebida - 209
- 219
Gastronomia e bebidas - 229
- 238
- 248
- 25NEW—
- 26NEW
- 279
- 289
- 299
Еда и напитки - 309
- 319
- 329
- 339
- 349
- 359
- 369
- 379
Comida y bebida - 389
- 399
Eten en drinken - 409
- 419
- 428
- 4310
- 449
Gastronomia e bebidas - 459
- 469
- 479
- 489
Comida y bebida - 499
Comida y bebida - 509
Comida y bebida
What changed
Movement between the previous day and May 29, 2026.
New entrants
- Provecho
#9
Risers
- Pick Up Limes
#63 → #18
- WineRatings+ by Wine Spectator
#50 → #15
- Paprika Recipe Manager 3
#48 → #16
- Starbucks secret menu!
#47 → #19
- Yoomla・Recipe Keeper & Planner
#14 → #8
Fallers
ナディア-プロの料理家のレシピで毎日の献立がすぐ決まる#56 → #82
Mealime Meal Plans & Recipes#59 → #85
Gelato Maestro Pro: Receta#55 → #75
Zest: Meal Planner & Helper#72 → #84
Little Foodie: Start Solids#58 → #69
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 May 29, 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.