Home / Alternatives to Приложение Икра Apps Like Приложение Икра for iPhone and iPad
by AMGRAAL, OOO ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Приложение Икра screenshots Ranked alternatives Showing 1–20 of 1,000 ranked alternatives.
LABORATORIYA IKS, OOO
Order sushi, pizza, and burgers delivered
Order sushi, pizza, burgers, pasta, and Tom-Yam dishes for delivery within the city. Track order status and view menu items. Browse restaurant interior and atmosphere details. Place orders and manage delivery preferences.
★ 5.0 9 ratings Food & Drink Free Data updated 2026-09-06
Matvei Afanasiev
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Sophie Edis
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ekaterina Mazenina
★ 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
SUSHI-SET, OOO
★ 4.9 1,176 ratings Food & Drink Free Data updated 2026-09-18
Roman Ginovich
★ 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
Ivan Kataev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
AMGRAAL, OOO
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Oxana Lyumakh
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nina Yarmolavichus
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-16
MNE BY V KOSMOS, OOO,
★ 5.0 6 ratings Food & Drink Free Data updated 2026-09-06
Alekberova Zahra
★ 4.3 6 ratings Food & Drink Free Data updated 2026-09-06
Vladislav Pertsev
★ 3.7 3 ratings Food & Drink Free Data updated 2026-09-06
Pavel Trushnikov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-17
Sophie Edis
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dzhalibek Arslanov
★ 5.0 13 ratings Food & Drink Free Data updated 2026-09-14
Maria Sumaneeva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, 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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