Home / Alternatives to ВилкиНет Apps Like ВилкиНет for iPhone and iPad
by MAG-FUD SERVIS, OOO ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-11
Ranked alternatives Showing 301–320 of 1,000 ranked alternatives.
Anastasia Limonova
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Andrey Nesvetaev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nina Yarmolavichus
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Vladislav Pertsev
★ 3.7 3 ratings Food & Drink Free Data updated 2026-09-06
FABRIKA LOYALNOSTI LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PLAN-B, OOO
Order gourmet meals and drinks online
Browse a variety of dishes including Japanese, pan-Asian, pizza, appetizers, and desserts. Filter by seasonal items or classics. Place orders and apply 20% discount on first order. Receive special offers for birthdays and anniversaries.
★ 2.3 3 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-09
SHAURMA GROUP, TOO
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Maria Sumaneeva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-20
TEISTI KOFE, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-12
LABORATORIYA IKS, OOO
★ 3.0 4 ratings Food & Drink Free Data updated 2026-09-06
Anton Ardyshev
★ 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
Sophie Edis
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
APPS GRUPP, OOO
★ 3.7 3 ratings Food & Drink Free Data updated 2026-09-06
Delivery software, OOO
★ 2.3 3 ratings Food & Drink Free Data updated 2026-09-06
Polina Marakhinova
★ 4.0 4 ratings Food & Drink Free Data updated 2026-09-06
MARAT MUKHAMETDINOV
★ 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
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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