Top Food & Drink — Top Grossing apps in Indonesia 🇮🇩
As of June 26, 2026, Cookpad Recipes, homemade food is the #1 Food & Drink — Top Grossing app in Indonesia on iOS.
#App / PublisherCategoryIntel
- 1
- 214
- 3NEW
Comida y bebida - 42
- 52—
- 640
- 7
Seeya宇华 高
- 847
- 97
- 102
- 117
- 127
- 134
- 144
- 1510
- 1638
- 17NEW
Essen und Trinken - 181
- 199
- 209
- 219
- 229
- 2338
Gastronomia e bebidas - 2410
- 2510
Comida y bebida - 267
- 277
- 287
- 297
- 307
Gastronomia e bebidas - 317
- 326
- 336
- 346
- 3518
Comida y bebida - 367
Comida y bebida - 377
- 387
Comida y bebida - 397
Comida y bebida - 407—
- 417
- 427
- 437
- 447
- 457
- 467
- 477
- 487
咖啡人 · 每日咖啡記錄鹏 蒋
美食佳飲 - 497
- 507
What changed
Movement between the previous day and June 26, 2026.
New entrants
- Mavix.
#17
Risers
- Keto Diet App & Recipes
#55 → #8
- Scoolinary: Cook Online
#46 → #6
- Recipe Keeper & Saver - Recify
#54 → #16
- Cardápio Digital QR - Criar
#61 → #23
- taste.com.au recipes
#53 → #35
Fallers
Tovix.#68 → #84
- TasteMatch: Flavor pairing
#67 → #80
- Annabel Karmel Kids Recipes
#14 → #24
- KitchenCost - Costo de Recetas
#15 → #25
- 101 before one
#10 → #19
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 26, 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.