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    "title": "Japan Medical Facilities (MHLW Open Data)",
    "description": "All Japanese hospitals, clinics, dental clinics, maternity homes and pharmacies from the official MHLW 医療情報ネット nationwide open data (e-Gov data portal). English field schema, medical departments included, prefecture filter, source attribution embedded in every record.",
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      "inputSchema": {
        "type": "object",
        "properties": {
          "facilityTypes": {
            "title": "Facility types",
            "type": "array",
            "description": "Optional, default [\"hospital\"]. Which facility registers to output (multi-select). The archive covers all of Japan: ~7,600 hospitals, ~105,000 medical clinics, ~68,000 dental clinics, ~2,000 maternity homes, ~62,000 pharmacies. Via API a single string or comma-separated string (\"hospital, clinic\") and Japanese names (病院, 薬局) are accepted too.",
            "items": {
              "type": "string",
              "enum": [
                "hospital",
                "clinic",
                "dental_clinic",
                "maternity_home",
                "pharmacy"
              ],
              "enumTitles": [
                "Hospitals (病院)",
                "Medical clinics (診療所)",
                "Dental clinics (歯科診療所)",
                "Maternity homes (助産所)",
                "Pharmacies (薬局)"
              ]
            },
            "default": [
              "hospital"
            ]
          },
          "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": "Optional. 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. Leave empty (the default) for all of Japan — the whole archive is downloaded either way; this only filters the output.",
            "default": ""
          },
          "includeDepartments": {
            "title": "Include medical departments",
            "type": "boolean",
            "description": "Optional, default true. If enabled, each hospital/clinic/dental record carries its deduplicated 診療科目 list (department code + Japanese name) joined from the paired speciality table in the SAME archive — no extra network requests.",
            "default": true
          },
          "maxItems": {
            "title": "Max items",
            "minimum": 1,
            "maximum": 200000,
            "type": "integer",
            "description": "Optional, default 100. Maximum number of records to output across all selected facility types, in the order given (1..200000 — a full nationwide clinic pull is ~105k).",
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          },
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            "title": "Dataset ZIP URL override",
            "type": "string",
            "description": "Advanced, normally EMPTY. The actor reads the e-Gov dataset page and picks the latest snapshot ZIP automatically. Pass an https URL here only to pin a specific snapshot (e.g. an older resource from https://data.e-gov.go.jp/data/dataset/iryou_teikyouseido_mhlw) — this also skips the dataset-page request."
          },
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            "title": "Max upstream requests per run",
            "minimum": 1,
            "maximum": 10,
            "type": "integer",
            "description": "Optional, default 5. Hard safety cap on upstream HTTP requests (politeness). A normal run needs at most 2: the dataset page + the ZIP download; the headroom only covers polite retries.",
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          },
          "proxyConfiguration": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Optional. Apify proxy settings. Default: NO proxy (direct connection works). The actor backs off exponentially on 429/5xx and fails visibly on a persistent block — it never attempts rate-limit evasion.",
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              "useApifyProxy": false
            }
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