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 341–360 of 1,000 ranked alternatives.
Abdul Basith Khan
★ 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
Amjad Mohammad
★ 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
SLERP LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
BigHoller.com LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
BigHoller.com LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
BigHoller.com LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
BigHoller.com LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
BigHoller.com LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
BigHoller.com LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
FRANCISCO RAFAEL ARCE GARCIA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ginilab Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-28
Suraj Chaudhari
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
BigHoller.com LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-30
BigHoller.com LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
BigHoller.com LLC
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-06
BigHoller.com LLC
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-06
Southcrest Hotel (Redditch) Limited
★ 5.0 1 ratings Travel Free Data updated 2026-09-28
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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