Top Food & Drink — Top Grossing apps in Netherlands 🇳🇱
As of June 12, 2026, Vivino: Drink The Right Wine is the #1 Food & Drink — Top Grossing app in Netherlands on iOS.
#App / PublisherCategoryIntel
- 11

- 21
Eten en drinken - 3

- 41

- 51

- 6

- 7

- 81

- 92

- 10NEW

- 111

- 1218

- 135

- 144
Eten en drinken - 1534

- 163
Eten en drinken - 178

- 18NEW
Eten en drinken - 199

- 20
Eten en drinken - 211

- 224
Essen und Trinken - 2346

- 2410

- 2564

- 26NEW

- 2710
Comida y bebida - 28NEW

- 295

- 3033
Gastronomia e bebidas - 312

- 3217

- 3317

- 3430

- 359

- 36

- 3718

- 3817

- 3933
Gastronomia e bebidas - 4038

- 414

- 4253

- 4320

- 4410

- 45NEW

- 467

- 4720
Comida y bebida - 4846

- 4920
Comida y bebida - 504

What changed
Movement between the previous day and June 12, 2026.
New entrants
Risers
Pestle: Recipe Manager#89 → #25
Keto Diet App & Recipes#95 → #42
Osta: Save & Share Recipes#69 → #23
SOMM TV#94 → #48
Anova Culinary#78 → #40
Fallers
Menú Semanal Planificador#47 → #73
SO VEGAN: Healthy Recipes#48 → #74
Zest: Meal Planner & Helper#51 → #77
Cocktails by Steve#52 → #78
- Viniou – Wine Cellar App
#44 → #69
Methodology
Rankings are pulled daily from the iOS store charts for Netherlands. 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 Netherlands on iOS?
As of June 12, 2026, Vivino: Drink The Right Wine is the #1 Food & Drink — Top Grossing app in Netherlands on iOS, based on the public iOS chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the iOS charts for Netherlands 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 Netherlands. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.