Japan Chain Restaurant Nutrition & Allergen Data (Tabecal)

Official nutrition facts for ~78 Japanese restaurant, fast-food and convenience-store chains — ~19,000 menu items — straight from each chain's published tables, refreshed daily, with version history.

Use it to answer questions like "gyudon under 600 kcal with 20 g+ protein", "does this CoCo Ichibanya curry contain egg?", "which Starbucks drinks changed this month?", or "McDonald's stores within 1 km of Tokyo Station" — from an app, a spreadsheet, or an AI agent (this Actor works with Apify MCP, so Claude / ChatGPT / Cursor can call it as a tool).

What you get

Field	Meaning
kcal, protein_g, fat_g, carb_g, fiber_g, sugar_g	Energy and macronutrients as published
salt_g	Salt equivalent (食塩相当量), sodium_mg where published
price	JPY, tax included (6 chains publish prices)
item_key	Permanent id of item × size, for item_detail / allergen_lookup
valid_from	First day the current values were confirmed

null = the chain does not publish that field (no estimates are ever filled in).

Coverage: Yoshinoya, Sukiya, Matsuya, McDonald's, Mos Burger, KFC, Starbucks, Doutor, Komeda, Saizeriya, Gusto, Denny's, Royal Host, Sushiro, Kura Sushi, Hama Sushi, CoCo Ichibanya, Ootoya, Yayoiken, Marugame Seimen, 7-Eleven, FamilyMart, Lawson, nosh and more (run list_chains). Allergen tables (28 Japanese labelling allergens) for 38 chains. 28,000+ store locations (OpenStreetMap).

Operations

operation	Returns
search_items	Items matching words + nutrition limits (kcalMax, proteinMin, saltMax, allergenFree …), sorted (sort)
chain_items	Every current item of one chain
list_chains / chain_overview	Covered chains with coverage stats / one chain's categories and recent changes
item_detail	One item with version history, change events, allergens, sales attributes
recent_changes	New / discontinued / changed items since a date
allergen_lookup	Allergen statement for one item grouped as contains / may_contain / none
stores_nearby	Stores near lat/lon (sorted by distance) or by prefecture

Example input

{ "operation": "search_items", "query": "牛丼", "kcalMax": 600, "proteinMin": 20, "sort": "protein", "maxResults": 50 }

{ "operation": "allergen_lookup", "chain": "cocoichibanya", "itemName": "ポークカレー" }

Example output row

{ "item_key": "5a1c0e9d2b7f4a10", "chain": "吉野家", "chain_slug": "yoshinoya", "name": "牛丼", "size": "並盛", "kcal": 635, "protein_g": 20.0, "fat_g": 23.4, "carb_g": 89.0, "salt_g": 2.7, "price": null, "valid_from": "2026-08-16", "source": "tabecal.com" }

Pricing

Pay per event: a small fee per run plus a fee per returned row (see the Pricing tab). No subscription. Need thousands of calls a day or a full data dump (CSV / JSON / SQLite with full history)? Use the API directly: https://tabecal.com/api/.

Terms & attribution

• Values are the chains' own published figures. Verify with the chain before any medical or allergy decision.
• Display inside your app is fine; redistributing the data itself (dumps, re-selling as an API) is not.
• Please credit "Data: Tabecal (tabecal.com) / official published values". Store coordinates © OpenStreetMap contributors (ODbL).
• Chain names and trademarks belong to their owners; Tabecal is not affiliated with any chain.