Home / Alternatives to Milwaukee Dining Apps Like Milwaukee Dining for iPhone and iPad Find restaurants in Milwaukee easily.
The app provides restaurant listings for Milwaukee, Wisconsin and surrounding areas. Listings include menus, photos, amenities, reservation capabilities, and GPS directions.
by Cuisine Development LLC ★ 2.5 2 ratings Food & Drink Free Data updated 2026-10-25
Milwaukee Dining screenshots Ranked alternatives Showing 781–800 of 1,000 ranked alternatives.
iRiS Software Systems Limited
★ 0.0 0 ratings Travel Free Data updated 2026-09-17
HOSPITALITY SOLUTIONS COMPANY FOR TRADE AND MARKETING
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ubsidi Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
WOOLOOMOOLOO GROUP LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Akeem Brown
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Chinsoft Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
BigHoller.com LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mehmet Ali Kara
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FRY BEE LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
tossdown Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ansir Mahmood
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Kristian Nicolo
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Reza Reza
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Laya Fateh Nejad
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nabeel Munit
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
ABID HUSSAIN CHOUDHRY
★ 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
kadir aslan
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nabeel Munit
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dazzling Web Planet Ltd
★ 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.
Previous Next