Home / Alternatives to АиФ Кухня Apps Like АиФ Кухня for iPhone and iPad
by Argumenty I Facty Ltd. ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-10
Ranked alternatives Showing 241–260 of 1,000 ranked alternatives.
Marina Kovaleva
Order food and drinks instantly
Order food from various cuisines including pizza, burgers, sushi, and more. Place orders for delivery to home or office. Receive free pizza with first order. Choose combo sets for discounted prices. Track delivery status and view menu options.
★ 5.0 5 ratings Food & Drink Free Data updated 2026-09-06
Vladislav Pertsev
★ 3.8 10 ratings Food & Drink Free Data updated 2026-09-06
TORII, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Vladimir Lavrenov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Pavel Trushnikov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MNE BY V KOSMOS, OOO,
★ 5.0 6 ratings Food & Drink Free Data updated 2026-09-06
Ivan Kataev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Maria Sumaneeva
★ 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
MNE BY V KOSMOS, OOO,
★ 5.0 6 ratings Food & Drink Free Data updated 2026-09-06
Tatiana Kataeva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Internet dostavka TOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Internet dostavka TOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Internet dostavka TOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sofia Novikova
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Igor Fuchkin
★ 0.0 0 ratings Food & Drink $0.99 Data updated 2026-09-11
OLEKSANDR SEMENIUK
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-06
PLAN-B, 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
Maxim Detin
★ 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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