Home / Alternatives to Где Шаверма — Найди и Съешь Apps Like Где Шаверма — Найди и Съешь for iPhone and iPad Find nearby eateries with AR or map
Find nearby food establishments using augmented reality or maps. View ratings, reviews, and user comments. Access promotions, operating hours, pricing, and payment options. Explore curated restaurant guides and expert reviews.
by Dodo Brands International DMCC ★ 4.5 40 ratings Food & Drink Free Data updated 2026-09-11
Где Шаверма — Найди и Съешь screenshots Ranked alternatives Showing 181–200 of 1,000 ranked alternatives.
OLEG SUZHAEV
★ 0.0 0 ratings Business Free Data updated 2026-09-11
YUM EXPRESS
★ 3.4 5 ratings Food & Drink Free Data updated 2026-09-06
MEINBREIN, OOO
★ 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
Alekberova Zahra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-22
LLC LOCALHOST
★ 5.0 4 ratings Health & Fitness Free Data updated 2026-09-06
ORG DIKIDI
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
DEVELOPMENT FEMILI, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-17
Igor Shalamov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Roman Vakhrushev
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Alina Panteleeva
★ 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
LLC COREX
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
TORII, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
IVTS-IZHEVSK, OOO
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-15
Aleksandr Anishin
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Sophie Edis
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
PLAN-B, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-10-12
Matvei Afanasiev
★ 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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