# French Healthcare Facilities Finder (FINESS) (`fit_melon/french-healthcare-facilities-finder-finess`) Actor Find French healthcare & medico-social facilities from the official FINESS registry: EHPAD nursing homes, hospitals, pharmacies, SSIAD, medical labs. Filter by type & department. Returns FINESS number, address, phone, SIRET. Official open data - reliable, no scraping. - **URL**: https://apify.com/fit\_melon/french-healthcare-facilities-finder-finess.md - **Developed by:** [D N](https://apify.com/fit_melon) (community) - **Categories:** Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## French Healthcare Facilities Finder (FINESS) — EHPAD, Hospitals, Pharmacies **Free actor** — you only pay your own Apify platform usage (a few cents per thousand results). Find every French healthcare and medico-social facility from **FINESS**, the official national registry of health and social establishments (*Fichier National des Établissements Sanitaires et Sociaux*). Search **EHPAD (nursing homes / maisons de retraite), hospitals (CHU, centres hospitaliers), pharmacies (officines), home nursing services (SSIAD), medical biology laboratories, résidences autonomie** and any other FINESS category, filtered by French department. Each result includes the FINESS number, full address, phone number and **SIRET** — ready for CRM import, B2B lead generation in the French healthcare sector (*prospection B2B santé, annuaire établissements sanitaires et médico-sociaux*), market studies, or territory mapping. Data comes from the official open data re-exposure of the FINESS registry on **data.gouv.fr** (Licence Ouverte 2.0), queried live through the data.gouv tabular API — no scraping, no breakage. The actor resolves the source schema dynamically at each run, so it keeps working even if the upstream file structure evolves. ### Input | Field | Type | Description | |---|---|---| | `facilityTypes` | array | Presets: `ehpad` (500), `residence_autonomie` (202), `ssiad` (354), `hospital` (101, 355), `pharmacy` (620), `medical_laboratory` (611) | | `departments` | array | French department codes, e.g. `["59", "62"]`. Empty = all of France | | `customCategoryCodes` | array | Any raw FINESS category code (`categetab`), e.g. `124` for health centers | | `categoryLabelContains` | string | Substring match on the French category label, e.g. `crèche` | | `nameContains` | string | Substring match on the establishment name, e.g. `KORIAN` | | `maxResults` | integer | Cap on returned establishments (default 200) | ### Output One dataset item per establishment, with an explicit `status` (`found` / `not_found` / `error`): ```json { "status": "found", "finess": "590000000", "finessEj": "590000001", "name": "EHPAD LES JARDINS DU LION", "categoryCode": "500", "categoryLabel": "EHPAD", "address": "12 Rue de la Paix", "postalCode": "59000", "city": "LILLE", "department": "59", "phone": "0320000000", "siret": "12345678900012", "apeCode": "8710A", "openedAt": "1998-01-01", "source": "FINESS via data.gouv.fr (Licence Ouverte 2.0)" } ```` ### Use cases - **Healthcare B2B lead generation**: build call/mailing lists of EHPAD, clinics or pharmacies per department for medical devices, services, wellness providers or staffing agencies. - **Market and territory analysis**: count and map facilities by category and department for expansion studies. - **Data enrichment pipelines**: the returned SIRET plugs directly into company registries for legal and financial enrichment. - **Public health & research**: reproducible extracts of the official registry without wrestling with the raw headerless CSV files. ### Works great with Chain this actor with the rest of the French business data suite by the same developer: - **[French Company Data Enricher (SIREN)](https://apify.com/fit_melon/french-company-data-enricher-siren-dirigeants-sirene)** — feed it the `siret` of each facility to get legal form, executives, financials. - **[French Insolvency & Solvency Checker (BODACC)](https://apify.com/fit_melon/french-insolvency-checker-bodacc)** — check whether an operator is in insolvency proceedings before doing business. - **[French Collective Agreement Finder (IDCC)](https://apify.com/fit_melon/french-collective-agreement-finder-idcc)** — find the collective agreement of each facility from its SIRET. More actors: [fit\_melon on Apify Store](https://apify.com/fit_melon). ### Limitations & fair use - Source data is refreshed by the French administration roughly monthly; day-old changes may not appear yet. - The registry lists open establishments as maintained by the ANS and regional health agencies; occasional administrative lag is possible. - The actor sends polite, paginated requests to the public data.gouv API. Please keep `maxResults` reasonable for your actual need. - Data licence: [Licence Ouverte / Open Licence 2.0](https://www.etalab.gouv.fr/licence-ouverte-open-licence) — free reuse with attribution to the source. # Actor input Schema ## `facilityTypes` (type: `array`): Common facility types (FINESS categories). Combine with departments to target a region. For any other category, use 'Custom category codes' or 'Category label contains' below. ## `departments` (type: `array`): French department codes to filter on (e.g. 59, 75, 2A). Leave empty to search all of France (capped by Max results). ## `customCategoryCodes` (type: `array`): Advanced: raw FINESS category codes (categetab) to include, e.g. 124 for health centers. Combined with the presets above. ## `categoryLabelContains` (type: `string`): Advanced: filter on the French category label, e.g. 'crèche' or 'Foyer'. Case-sensitive, matches a substring. ## `nameContains` (type: `string`): Filter on the establishment name (raison sociale), e.g. 'KORIAN'. Case-sensitive, matches a substring. ## `maxResults` (type: `integer`): Maximum number of establishments to return. ## Actor input object example ```json { "facilityTypes": [ "ehpad" ], "departments": [ "59" ], "maxResults": 25 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "facilityTypes": [ "ehpad" ], "departments": [ "59" ], "maxResults": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("fit_melon/french-healthcare-facilities-finder-finess").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "facilityTypes": ["ehpad"], "departments": ["59"], "maxResults": 25, } # Run the Actor and wait for it to finish run = client.actor("fit_melon/french-healthcare-facilities-finder-finess").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "facilityTypes": [ "ehpad" ], "departments": [ "59" ], "maxResults": 25 }' | apify call fit_melon/french-healthcare-facilities-finder-finess --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fit_melon/french-healthcare-facilities-finder-finess", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "French Healthcare Facilities Finder (FINESS)", "description": "Find French healthcare & medico-social facilities from the official FINESS registry: EHPAD nursing homes, hospitals, pharmacies, SSIAD, medical labs. Filter by type & department. Returns FINESS number, address, phone, SIRET. Official open data - reliable, no scraping.", "version": "0.0", "x-build-id": "vMFTEAouO4Ebsvc8q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fit_melon~french-healthcare-facilities-finder-finess/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fit_melon-french-healthcare-facilities-finder-finess", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fit_melon~french-healthcare-facilities-finder-finess/runs": { "post": { "operationId": "runs-sync-fit_melon-french-healthcare-facilities-finder-finess", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fit_melon~french-healthcare-facilities-finder-finess/run-sync": { "post": { "operationId": "run-sync-fit_melon-french-healthcare-facilities-finder-finess", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "facilityTypes": { "title": "Facility types", "type": "array", "description": "Common facility types (FINESS categories). Combine with departments to target a region. For any other category, use 'Custom category codes' or 'Category label contains' below.", "items": { "type": "string", "enum": [ "ehpad", "residence_autonomie", "ssiad", "hospital", "pharmacy", "medical_laboratory" ], "enumTitles": [ "EHPAD — nursing homes (cat. 500)", "Résidences autonomie — senior residences (cat. 202)", "SSIAD — home nursing services (cat. 354)", "Hospitals — CHR/CHU + Centres Hospitaliers (cat. 101, 355)", "Pharmacies (cat. 620)", "Medical biology laboratories (cat. 611)" ] } }, "departments": { "title": "Departments", "type": "array", "description": "French department codes to filter on (e.g. 59, 75, 2A). Leave empty to search all of France (capped by Max results).", "items": { "type": "string" } }, "customCategoryCodes": { "title": "Custom category codes", "type": "array", "description": "Advanced: raw FINESS category codes (categetab) to include, e.g. 124 for health centers. Combined with the presets above.", "items": { "type": "string" } }, "categoryLabelContains": { "title": "Category label contains", "type": "string", "description": "Advanced: filter on the French category label, e.g. 'crèche' or 'Foyer'. Case-sensitive, matches a substring." }, "nameContains": { "title": "Facility name contains", "type": "string", "description": "Filter on the establishment name (raison sociale), e.g. 'KORIAN'. Case-sensitive, matches a substring." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of establishments to return.", "default": 200 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "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" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```