Home / Alternatives to D&B: discount and booking Apps Like D&B: discount and booking for iPhone and iPad
by D&B IT PRODUCT, SRL ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 201–220 of 1,000 ranked alternatives.
SETTI, TOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
5loyalty Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
TOWBE
★ 2.6 26 ratings Food & Drink Free Data updated 2026-09-06
1001260087 ONTARIO INC.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MunchEm, Inc
★ 2.6 12 ratings Food & Drink Free Data updated 2026-09-09
Cluby Oy
★ 4.8 6 ratings Food & Drink Free Data updated 2026-09-12
Utiliter d.o.o
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Godavari Wave Technologies Private Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Paul Mahfouz
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SELECTED GEEKS LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Tawla Portal LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Tawfiq Bahri
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Rajshree Shakya
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dinebd Limited
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Osmik Software, LLC
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Kamran Gasimov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Primecard, Inc.
Find restaurants and apply discounts
Find participating restaurants in South Florida and New York Metro areas. View discounts and locations. Search for specific cuisines or locations. Apply daily savings to meals. Navigate to restaurant addresses.
★ 3.0 21 ratings Food & Drink Free Data updated 2026-09-08
Moaz Kandar
★ 3.0 8 ratings Food & Drink Free Data updated 2026-09-06
MunchEm, Inc
★ 1.4 18 ratings Food & Drink Free Data updated 2026-09-06
Crafted Pints Brewing Company LLC
★ 5.0 1 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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