Home / Alternatives to LOVERS Apps Like LOVERS for iPhone and iPad
by Olecsii Chechel ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 41–60 of 1,000 ranked alternatives.
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-10
Ekaterina Mazenina
★ 4.6 13 ratings Food & Drink Free Data updated 2026-09-06
EDVIL KHOSPITALITI, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dmitry Ivanov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
too ab Restaurants, LLC.
Order food and delivery from 50 restaurants
Order food from 11 restaurants in Almaty and 2 in Astana. Receive 1,000 gift bonuses upon first use. Track delivery status and view restaurant menus. Redeem rewards for discounts or free items. Manage account settings and view order history.
★ 4.8 19 ratings Food & Drink Free Data updated 2026-09-06
Alekberova Zahra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anastasia Perminova
★ 4.4 5 ratings Food & Drink Free Data updated 2026-09-06
Maria Sumaneeva
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Khasiev Zaur Ilgarovich, IP
★ 5.0 8 ratings Food & Drink Free Data updated 2026-09-06
CHAIKHANA 1, OOO
★ 3.0 6 ratings Food & Drink Free Data updated 2026-09-08
Nazad V Budushchee, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DZHI EF SI, OOO
★ 2.8 5 ratings Food & Drink Free Data updated 2026-09-06
Ekaterina Mazenina
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
BUCHET LLC
★ 3.7 14 ratings Shopping Free Data updated 2026-09-06
Sophie Edis
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
LIKK PLYUS, OOO
★ 4.0 6 ratings Food & Drink Free Data updated 2026-09-06
Ivan Kataev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Pavel Trushnikov
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Niyama Holding
★ 3.4 10 ratings Food & Drink Free Data updated 2026-09-09
Oksana Sukhareva
★ 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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