Home / Alternatives to Places App – Eat & Drink Apps Like Places App – Eat & Drink for iPhone and iPad Order food and drinks instantly
Save time by accessing food and options with one tap. Earn cashback, view exclusive promotions, and accumulate rewards and loyalty bonuses. Track orders, locate nearby restaurants, and redeem discounts directly through the .
by KMA Tech Holding Limited ★ 5.0 7 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 481–500 of 1,000 ranked alternatives.
ABDUR R ZAKIR
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DAWOOD BOBRA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DAWOOD BOBRA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
David Zajac
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Abdul Basith Khan
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
CAMPBELL GREG ROBERT
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
AAMIR SHAHZAD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Zubair Ahmed Miah
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Aziz Bahera
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FOOD HUB GROUP LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FOOD HUB GROUP LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FOOD HUB GROUP LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FOOD HUB GROUP LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mutab Alanzi
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
NIU MEDIA ADZHENSI, UKRAINA, PP
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Happy Fork LLC
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Atesplore Pte Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Extreme fitness llc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SUDO GATE LTD
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Kashin Inc
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-21
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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