Home / Alternatives to PizzaBoom | Ковров Apps Like PizzaBoom | Ковров for iPhone and iPad
by Anastasia Perminova ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PizzaBoom | Ковров screenshots Ranked alternatives Showing 1–20 of 1,000 ranked alternatives.
Roman Ginovich
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Maxim Chalapchy
Order sushi and pizza for delivery
Order food delivery including sushi, pizza, noodles, soups, salads, appetizers, and desserts. Browse an intuitive menu, add items to a cart, select delivery area and payment method. Apply promo codes for discounts.
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-17
Dzhalibek Arslanov
★ 5.0 13 ratings Food & Drink Free Data updated 2026-09-14
Alekberova Zahra
★ 4.3 6 ratings Food & Drink Free Data updated 2026-09-06
Oksana Sukhareva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Roman Ginovich
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Ivan Kataev
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Pavel Trushnikov
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Anton Ardyshev
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Anastasia Perminova
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ivan Kataev
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
DMITRIY SUKHAREV
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Tatiana Kataeva
★ 4.0 1 ratings Food & Drink Free Data updated 2026-09-06
Maria Sumaneeva
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-06
Oksana Sukhareva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Matvei Afanasiev
★ 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
Maria Sumaneeva
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Anastasia Perminova
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Pavel Trushnikov
★ 5.0 1 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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