Home / Alternatives to Foogly Apps Like Foogly for iPhone and iPad Buy fresh produce and reduce waste
Buy fresh, im produce directly from local farmers. Browse available items, place orders, and pay through the or website. Local shops handle deliveries. Help reduce food waste and support sustainable agriculture.
by Kevin Speina ★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Ranked alternatives Showing 901–920 of 1,000 ranked alternatives.
Fena Arora
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Harin Kayalath
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Yong Dong Lee
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Doriano Merlo
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-10
ReCup GmbH
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-12
M D D R SOLUTIONS INC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-19
Meghraj Suthar
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Foodince Technology Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Hungrrr Tech Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-10-18
Engineering Dreams Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Hungrrr Dev Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Bojan Stefanovski
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Folloc Technologies Private Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Folloc Technologies Private Limited
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Folloc Technologies Private Limited
★ 0.0 0 ratings Business Free Data updated 2026-09-06
SALADHR TECHNOLOGY LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
KAM WING CHAN
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
RAH group sp. Z o.o.
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Cloverdilly Kids LLC
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Raafat Abdulfattah
★ 0.0 0 ratings Shopping 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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