Top Food & Drink — Top Grossing apps in Singapore 🇸🇬
As of June 18, 2026, Scoolinary: Cook Online is the #1 Food & Drink — Top Grossing app in Singapore on iOS.
#App / PublisherCategoryIntel
- 137

- 21

- 3

- 4NEW

- 53

- 657

- 73

- 81

- 93

- 104

- 115

- 129—
- 138

- 146

- 1514

- 166

- 1723
Comida y bebida - 187

- 1911

- 2011

- 218

- 22NEW

- 234
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 - 245

- 2510

- 26NEW
美食佳飲 - 27NEW

- 282

- 2913

- 30NEW
Cuisine et boissons - 3114

- 3214

- 33NEW

- 3412

- 3512
Comida y bebida - 3612
Comida y bebida - 3712

- 3810
美食佳飲 - 3917

- 40NEW
Eten en drinken - 4111

- 4211

- 4311

- 4411

- 4511
Comida y bebida - 4611

- 4711

- 4811

- 4910

- 509
Comida y bebida
What changed
Movement between the previous day and June 18, 2026.
New entrants




Yummix#30
Risers
Annabel Karmel Kids Recipes#63 → #6
Scoolinary: Cook Online#38 → #1
OLIO#40 → #17
Anova Oven#56 → #39
HalalChecker AI: Halal Scanner#29 → #15
Fallers
BabyPlate: Starting Solids#57 → #88
懒饭 - 美食视频菜谱#55 → #74
Eatr: Tasty Cooking Recipes#17 → #31
Osta: Save & Share Recipes#18 → #32
Love, Manuela#16 → #29
Methodology
Rankings are pulled daily from the iOS store charts for Singapore. 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 Singapore on iOS?
As of June 18, 2026, Scoolinary: Cook Online is the #1 Food & Drink — Top Grossing app in Singapore on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS charts for Singapore 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 Singapore. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.