Home / Alternatives to Shavella Apps Like Shavella for iPhone and iPad
by Dorina Rakova ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 261–280 of 1,000 ranked alternatives.
Pavel Trushnikov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DEVELOPMENT FEMILI, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-17
Stanislav Pe
★ 0.0 0 ratings Food & Drink Free Data updated 2026-10-31
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-23
MNE BY V KOSMOS, OOO,
★ 4.0 1 ratings Food & Drink Free Data updated 2026-09-06
Matvei Afanasiev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sergei Dorozhkin
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MNE BY V KOSMOS, OOO,
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Aleksandr Shishkin
★ 5.0 4 ratings Food & Drink Free Data updated 2026-09-24
Sophie Edis
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
Order food and drinks from our café
View the menu and place an online order. Choose a payment method. Save and review order history in the personal account. Order delivery of prepared dishes. Find the restaurant location and visit in person. Explore Kazakh cuisine offerings.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-10-01
PRESTO, OOO (Moscow)
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MNE BY V KOSMOS, OOO,
★ 5.0 4 ratings Food & Drink Free Data updated 2026-09-06
RETSEPT, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MNE BY V KOSMOS, OOO,
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
MNE BY V KOSMOS, OOO,
★ 3.9 8 ratings Food & Drink Free Data updated 2026-09-06
Emil Tairov
★ 3.3 3 ratings Food & Drink Free Data updated 2026-09-26
Anastasia Perminova
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-26
Maria Sumaneeva
★ 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
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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