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Japan Medical Facilities (MHLW Open Data)

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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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Pay per usage

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JP Open Data

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21 days ago

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Lead generation

Automation

You can access the Japan Medical Facilities (MHLW Open Data) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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          "facilityTypes": {
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            "type": "array",
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            "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).",
            "default": 100
          },
          "datasetZipUrl": {
            "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.",
            "default": 5
          },
          "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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              "usage": {
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}

Japan Medical Facilities (MHLW Open Data) OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Japan Medical Facilities (MHLW Open Data) from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Japan Medical Facilities (MHLW Open Data) API in Python

Japan Medical Facilities (MHLW Open Data) API in JavaScript

Japan Medical Facilities (MHLW Open Data) API through CLI

Japan Medical Facilities (MHLW Open Data) API

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