{
  "openapi": "3.0.1",
  "info": {
    "title": "Tabelog Scraper — Japan Restaurants (English schema)",
    "description": "Tabelog scraper for Japan restaurant data: rating, review count, bookmark count, budgets, address, phone and hours by prefecture, area and genre — clean English schema. No review text or reviewer data. Unofficial; not affiliated with Kakaku.com Inc.",
    "version": "0.1",
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  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "required": [
          "prefecture"
        ],
        "properties": {
          "prefecture": {
            "title": "Prefecture",
            "enum": [
              "Hokkaido",
              "Aomori",
              "Iwate",
              "Miyagi",
              "Akita",
              "Yamagata",
              "Fukushima",
              "Ibaraki",
              "Tochigi",
              "Gunma",
              "Saitama",
              "Chiba",
              "Tokyo",
              "Kanagawa",
              "Niigata",
              "Toyama",
              "Ishikawa",
              "Fukui",
              "Yamanashi",
              "Nagano",
              "Gifu",
              "Shizuoka",
              "Aichi",
              "Mie",
              "Shiga",
              "Kyoto",
              "Osaka",
              "Hyogo",
              "Nara",
              "Wakayama",
              "Tottori",
              "Shimane",
              "Okayama",
              "Hiroshima",
              "Yamaguchi",
              "Tokushima",
              "Kagawa",
              "Ehime",
              "Kochi",
              "Fukuoka",
              "Saga",
              "Nagasaki",
              "Kumamoto",
              "Oita",
              "Miyazaki",
              "Kagoshima",
              "Okinawa"
            ],
            "type": "string",
            "description": "REQUIRED. Choose one of the 47 prefectures by its English name (e.g. \"Tokyo\", \"Osaka\", \"Kyoto\"). Via API/CLI pass the English name exactly as listed (e.g. \"Tokyo\", not \"東京都\" / \"13\" / \"tokyo-to\" — the platform validates the list before the run starts and rejects anything else with the list of valid values). Cities are NOT prefectures: use \"Kanagawa\" for Yokohama, \"Aichi\" for Nagoya, \"Osaka\" for Osaka-shi. tabelog listings are prefecture-scoped; narrow further with area / genre.",
            "default": "Tokyo"
          },
          "area": {
            "title": "Area / neighbourhood",
            "type": "string",
            "description": "Optional. Leave EMPTY to scrape the whole prefecture (recommended for a first run). To narrow to a neighbourhood: (1) copy a tabelog area code from any tabelog.com listing URL — \"A1304\" (district block 新宿・代々木・大久保), \"A130401\" (sub-area 新宿, parent derived automatically), \"C13104\" (municipality 新宿区) or a full path \"A1304/A130401/R5184\" (station) — this works for EVERY prefecture and neighbourhood in Japan; or (2) for Tokyo use a built-in name: shinjuku, shibuya, ikebukuro, yoyogi, shinjuku-gyoen, okubo, shin-okubo (Japanese 新宿 / 渋谷 / 池袋 also work). Do NOT put a city or prefecture name here (e.g. \"Osaka\", \"Yokohama\") — that is not an area and the run stops with an explanation."
          },
          "genre": {
            "title": "Genre",
            "type": "string",
            "description": "Optional. Leave empty for all genres. A tabelog genre slug exactly as it appears in listing URLs (https://tabelog.com/tokyo/rstLst/ramen/ -> \"ramen\"): ramen, sushi, izakaya, cafe, yakiniku, italian, french, chinese, curry, sweets, yakitori, tonkatsu, tempura, unagi, soba, udon, okonomiyaki, steak, burger, pizza, bar, washoku, seafood, korean, thai, indian, nabe, japanese, lunch … Aliases: bbq→yakiniku, coffee→cafe, noodles→ramen, hotpot→nabe; Japanese labels (ラーメン, 寿司 …) are accepted. A slug that does not exist on tabelog stops the run with HTTP 404 and an explanation — never silent wrong data."
          },
          "minRating": {
            "title": "Minimum rating",
            "minimum": 0,
            "maximum": 5,
            "type": "number",
            "description": "Optional. Keep only restaurants whose tabelog rating is at least this value (0–5 scale, e.g. 3.5). Unrated restaurants (\"-\") are excluded when set. Applied client-side to the listing rating, so a high threshold needs a larger maxApiRequests to fill maxItems."
          },
          "detailFetch": {
            "title": "Fetch detail pages",
            "type": "boolean",
            "description": "Optional, default false. When true, each record costs one extra upstream request and adds the published business info: street address, phone, kana reading, business hours, closed days, coordinates. When false, the actor emits listing data only (name, genres, rating, review count, bookmark count, budgets, nearest station, URL) — 20 records per request, fastest and cheapest.",
            "default": false
          },
          "maxItems": {
            "title": "Max records",
            "minimum": 1,
            "maximum": 1000,
            "type": "integer",
            "description": "Optional, default 10. Stop after this many restaurant records (1..1000). Each listing page yields up to 20 records; with detailFetch each record also needs one detail request, so raise maxApiRequests accordingly.",
            "default": 10
          },
          "maxApiRequests": {
            "title": "Max upstream requests",
            "minimum": 1,
            "maximum": 60,
            "type": "integer",
            "description": "Optional, default 15. Hard budget of HTTP requests to tabelog.com for this run (1 per listing page of 20 restaurants + 1 per detail page). Requests are strictly serial with >= 1.2 s spacing. When the budget runs out the run still SUCCEEDS with the records collected so far and complete=false in RUN_SUMMARY (not an error).",
            "default": 15
          },
          "proxyConfiguration": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Apify proxy settings. Required: tabelog.com blocks Apify datacenter IP ranges (HTTP 403, verified 2026-09-02 — the same site answers 200 from other networks), so the default uses Apify RESIDENTIAL proxies (country JP). Proxy bandwidth is billed as Apify platform usage. Never used for rotation/evasion — a single serial session is kept per run.",
            "default": {
              "useApifyProxy": true,
              "apifyProxyGroups": [
                "RESIDENTIAL"
              ],
              "apifyProxyCountry": "JP"
            }
          }
        }
      },
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                "type": "string"
              },
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              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
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                  "computeUnits": {
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              },
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              "defaultKeyValueStoreId": {
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                  "DATASET_READS": {
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