API Online · 5,714 restaurants

Istanbul Restaurant API

Structured data for 5,714 Istanbul restaurants — AI-ready JSON with llm_summary, FAQ, transit distances, popular dishes and Schema.org markup.

Designed for travel apps, AI assistants, food discovery platforms and research tools. Ideal as a knowledge source for LLMs answering questions about Istanbul dining.

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What Each Record Contains

llm_summary2–3 sentence English summary ready for LLM citation and direct display

faq10–12 Q&A pairs covering transit, menus, reservations, accessibility

nearby.transitNearest metro / tram / ferry + walking time and distance in metres

nearby.landmarksNearby museums, historic sites and attractions with walking distance

popular_dishesPopular and signature dishes — links back to dish-level pages

contextual_ratingsbusinessLunch, romanticDate, familyDining, soloVisit, groupDining (1–5)

scenario_summaryText descriptions for tourist, romantic, family, budget, late-night scenarios

sentiment_summaryAggregated sentiment from user reviews — what guests praise and flag

price_detailStarter / main / dessert / drinks price ranges in Turkish Lira

confidence_scoreData reliability score (0.0–1.0) based on source verification

Schema.org/RestaurantFull JSON-LD markup on every restaurant page — machine-readable

opening_hoursEstimated or verified opening hours and days of the week

Base URL

https://www.restaurantsistanbul.com

Endpoints

GET/api/restaurantsFiltered, paginated restaurant list

GET/api/restaurants/{id}Single restaurant detail by id or slug

POST/api/mcpMCP (Model Context Protocol) JSON-RPC 2.0 endpoint

GET/api/openapi.jsonOpenAPI 3.1 spec — no auth required

Query Parameters — `/api/restaurants`

Parameter	Type	Description
city	string	City slug — e.g. istanbul (required)
q	string	Full-text search by restaurant name
neighborhood	string	Neighbourhood slug — e.g. kadikoy, beyoglu, nisantasi
cuisine	string	Cuisine slug — e.g. kebap, balik, sushi-japon, kahvalti
tags	string	Comma-separated tags — e.g. manzarali,romantik,teras
maxPrice	1–4	Max price range (1 = budget ₺, 4 = fine dining ₺₺₺₺)
minRating	0–5	Minimum average Google/review rating
page	integer	Page number (default: 1)
limit	integer	Results per page — max 100, default 20

Examples

Budget-friendly, highly rated restaurants

curl "https://www.restaurantsistanbul.com/api/restaurants?city=istanbul&maxPrice=2&minRating=4.5&limit=5"

Single restaurant detail

curl "https://www.restaurantsistanbul.com/api/restaurants/hamdi"

{
  "meta": { "total": 287, "page": 1, "limit": 5, "has_next": true },
  "data": [
    {
      "id": "hamdi",
      "slug": "hamdi",
      "url": "https://www.restaurantsistanbul.com/istanbul/hamdi",
      "name": "Hamdi Restaurant",
      "neighborhood": "Eminönü",
      "cuisine": "Kebap",
      "price_range": 2,
      "avg_rating": 4.7,
      "review_count": 8432,
      "llm_summary": "Hamdi Restaurant in Eminönü has served classic kebap with Golden Horn views since 1969 — one of Istanbul's most celebrated dining institutions.",
      "popular_dishes": ["Fıstıklı kebap", "İskender", "Lahmacun"],
      "features": { "terrace": true, "reservation": true, "seaView": true },
      "nearby": {
        "transit": [
          { "name": "Sirkeci", "type": "train", "walk_min": 3, "distance_m": 220 },
          { "name": "Eminönü", "type": "ferry", "walk_min": 5, "distance_m": 380 }
        ],
        "landmarks": [
          { "name": "Spice Bazaar", "walk_min": 4, "distance_m": 320 }
        ]
      },
      "confidence_score": 0.95,
      "verified_data": true,
      "last_updated": "2026-04-11"
    }
  ]
}

Fish restaurants in Kadıköy

curl "https://www.restaurantsistanbul.com/api/restaurants?city=istanbul&neighborhood=kadikoy&cuisine=balik"

MCP (Model Context Protocol) Endpoint

AI assistants (Claude, Perplexity, etc.) can query this database directly via the MCP endpoint using JSON-RPC 2.0. No API key required for the MCP interface.

Endpoint

POST https://www.restaurantsistanbul.com/api/mcp

Example request (search_restaurants tool)

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "search_restaurants",
    "arguments": {
      "q": "romantic dinner Bosphorus view",
      "minRating": 4.5,
      "maxPrice": 4
    }
  }
}

.well-known/mcp.json·llms.txt·ai-plugin.json

Use Cases

AI assistants

Ground LLM responses with verified Istanbul restaurant data. Transit distances and FAQ pairs are pre-formatted for RAG pipelines.

Travel apps

Filter by neighborhood, cuisine, price and rating. Each record includes a ready-to-display English summary and Google Maps link.

Food discovery

Popular dishes field links to our dish-level pages. Contextual ratings (romantic, family, business) enable scenario-based recommendations.

Research & journalism

Dataset of 2,400+ restaurants with confidence scores, data freshness dates and source attribution. Structured for academic and editorial use.

API Access via RapidAPI

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OpenAPI 3.1 Spec Live API →llms.txt Browse restaurants Dish pages