Home / Alternatives to Springfield Apps Like Springfield for iPhone and iPad
by CHICAR SRL ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 461–480 of 1,000 ranked alternatives.
COMUNICARE SRL (MOBILE)
★ 0.0 0 ratings Navigation Free Data updated 2026-09-06
Vincenzo Cassano
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Daniele Secondi
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
TNX srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
APPTEAM DI VANTAGGIATO ROCCO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Golosario e Golosaria Srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-09
The Millenium Srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Kartik Kartik
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DA.MA. SAS DI MANNINO FRANCESCO E C.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
CityByApp Inc.
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-08
riccardo branciamore
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
2night spa
Discover local venues, restaurants, and events.
The app helps users discover important evening and night venues, restaurants, and events nearby. It provides curated selections with reviews, user comments, photos, and continuously updated information for venues across Italy.
★ 3.0 4 ratings Food & Drink Free Data updated 2026-09-12
Bitebucket Srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Coobi s.r.l.s
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Feiwu Wen
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Firenze web division srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Yine Srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Yine Srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PIN APP SRL SEMPLIFICATA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DYLOG ITALIA SPA
★ 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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