Home / Alternatives to кафе Лофт 2023 | Новоуральск Apps Like кафе Лофт 2023 | Новоуральск for iPhone and iPad
by SABI LINK, OOO ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 1–20 of 1,000 ranked alternatives.
Pavel Trushnikov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-17
FUDSOUL, OOO
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-18
DMITRIY SUKHAREV
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-13
Roman Ginovich
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anton Ardyshev
★ 4.3 6 ratings Food & Drink Free Data updated 2026-09-06
MNE BY V KOSMOS, OOO,
★ 4.8 52 ratings Food & Drink Free Data updated 2026-09-20
Anastasia Limonova
★ 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
Vladimir Coi
★ 4.1 122 ratings Food & Drink Free Data updated 2026-09-12
Anastasia Perminova
★ 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
Anton Ardyshev
Order meals and track your delivery
View menu and place online orders. Choose payment method. Save and view order history in account. Earn and accumulate bonuses. Receive notifications about promotions and discounts. Track order status and delivery details.
★ 4.0 14 ratings Food & Drink Free Data updated 2026-09-06
Anastasia Perminova
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Maria Sumaneeva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-13
Pavel Trushnikov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-18
Vladislav Pertsev
★ 4.0 2 ratings Food & Drink Free Data updated 2026-09-06
Oksana Sukhareva
★ 3.0 2 ratings Food & Drink Free Data updated 2026-09-06
Amayak Mkoyan
★ 4.6 50 ratings Food & Drink Free Data updated 2026-09-13
Anastasia Perminova
★ 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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