Home / Alternatives to Новиков.Еда Apps Like Новиков.Еда for iPhone and iPad
by Novikov Grupp OOO ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-14
Ranked alternatives Showing 801–820 of 1,000 ranked alternatives.
Matvei Afanasiev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Alekberova Zahra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anton Ardyshev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Oksana Sukhareva
★ 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
DMITRIY SUKHAREV
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DMITRIY SUKHAREV
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-25
Andriy Kharchenko
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Team F5 FZE
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Ievgen Chernyshov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-11
Alexander Shekhtman
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Vladimir Lavrenov
Order grilled dishes and drinks on delivery
Order shashlik, kebabs, shawerma, and burgers prepared with unique recipes. Choose between meat options like chicken, pork, or lamb. Select sides like grilled vegetables or mushrooms. Place orders for takeaway and enjoy meals without cooking.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Iulia Iarmolavichus
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Armen Melkonyan
★ 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
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-10
T-INZHINIRING, OOO
★ 0.0 0 ratings Entertainment Free Data updated 2026-09-06
Kamil Kalimullin
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Oleksandr Sokolov
★ 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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