Home / Alternatives to Яства | Москва Apps Like Яства | Москва for iPhone and iPad
by Alekberova Zahra ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-26
Яства | Москва screenshots Ranked alternatives Showing 321–340 of 1,000 ranked alternatives.
Adil Ladura
★ 3.0 1 ratings Food & Drink Free Data updated 2026-09-06
ORG DIKIDI
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
PRO.LOYALNOST, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-17
Marina Kovaleva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Olecsii Chechel
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nikita Alekseev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Olga Trushkina
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Garik Nazarian
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Andrei Medvedev
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-19
Bakytbek Dzhuraev
Order food and manage loyalty rewards
Browse a comprehensive menu with filtering options. Add favorite dishes to a cart and place orders anywhere in the city. Access loyalty program features to track points and redeem rewards. View popular items and manage order history.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Natalya Vladimirovna Kirichenko
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Egor Vasilev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
ACTONICA, OOO
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
DMITRIY SUKHAREV
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-16
AMGRAAL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nazad V Budushchee, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sophie Edis
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nazad V Budushchee, OOO
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-11
ORG DIKIDI
★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
Nazad V Budushchee, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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