item_prices

Pricing information for Starbucks menu items in Singapore

Data license: MIT · Data source: Starbucks Singapore · About: Made by jerrynsh.com

10 rows where effective_date = "2024-09-15" and store_id = 106

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: base_price, delivery_price, effective_date (date)

store_id 1

  • 106 · 10 ✖

effective_date 1

  • 2024-09-15 · 10 ✖
id ▼ item_id store_id base_price delivery_price effective_date
30089 Origami Anniversary Blend 2024 29521 106 106 1090 1140 2024-09-15
30090 VIA® Anniversary Blend 2024 29522 106 106 1690 1740 2024-09-15
30091 Anniversary Blend 2024 29523 106 106 1690 1740 2024-09-15
30092 Strawberry Burnt Cheesecake 29524 106 106 820 870 2024-09-15
30093 Apple Vanilla Chantilly Cream Cake 29525 106 106 820 870 2024-09-15
30094 Merlion Bearista Cookies 29526 106 106 2490 2540 2024-09-15
30095 Chicken, Omelette, Chicken Ham & Cheese Wafflewich 29527 106 106 690 740 2024-09-15
30096 Apple Pie Cream Frappuccino® (Less Sweet) 29528 106 106 840 890 2024-09-15
30097 Red Apple Frozen Tea (Less Sweet) 29529 106 106 840 890 2024-09-15
30098 Single-Origin Zambia 29530 106 106 1690 1740 2024-09-15

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE "item_prices" ("id" INTEGER NOT NULL PRIMARY KEY, "item_id" INTEGER NOT NULL, "store_id" INTEGER NOT NULL, "base_price" INTEGER NOT NULL, "delivery_price" INTEGER NOT NULL, "effective_date" DATE NOT NULL, FOREIGN KEY ("item_id") REFERENCES "menu_items" ("id"), FOREIGN KEY ("store_id") REFERENCES "stores" ("id"));
CREATE INDEX "price_item_id" ON "item_prices" ("item_id");
CREATE INDEX "price_store_id" ON "item_prices" ("store_id");
CREATE UNIQUE INDEX "price_item_id_store_id_effective_date" ON "item_prices" ("item_id", "store_id", "effective_date");