Home / Alternatives to 日本料理 加賀屋 Apps Like 日本料理 加賀屋 for iPhone and iPad
by KAGAYA RESTAURANT SYSTEM, K.K. ★ 0.0 0 ratings Food & Drink Free Data updated 2026-11-03
Ranked alternatives Showing 121–140 of 373 ranked alternatives.
RM Co., Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-12
GMO DIGITALLAB CO.,LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-09
Rina Nakano
★ 4.9 10 ratings Food & Drink Free Data updated 2026-09-06
YOSUKO, Y.K.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Tomohiro Itagaki
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SAPPORO LION LIMITED.
★ 4.8 6 ratings Food & Drink Free Data updated 2026-09-12
C INC, K.K.
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-09
TONIN, K.K.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-24
naoki wakata
★ 2.7 6 ratings Food & Drink Free Data updated 2026-09-06
MYCREDO CO.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
YUUSUKE SASOU
★ 4.0 5 ratings Food & Drink Free Data updated 2026-09-06
力 彭
Cook Japanese meals with substitute ingredients
Learn to cook Japanese home-style dishes using substitute ingredients when local materials are unavailable. Access user-submitted recipes with local adaptations. View step-by-step instructions from Japanese culinary expert Akiko Watanabe.
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-08
SHIBATASHOTEN Co., Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-10
MONOGATARI CORPORATION, THE
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MONOGATARI CORPORATION, THE
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SAKAI K.K. (Atsugi)
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Kenichi Sugawara
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-15
MUSE, K.K.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
HIROKI ONDA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
GREEN HOUSE FOODS CO., 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.
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