# Ameli Health Directory · Practitioners by Specialty & City (`corent1robert/ameli-practitioners-scraper`) Actor Collect French health practitioners from the official Ameli directory. Filter by specialty, department, or city. Get names, phone numbers (mobile 06/07), addresses, sector — export-ready. No login needed. - **URL**: https://apify.com/corent1robert/ameli-practitioners-scraper.md - **Developed by:** [Corentin Robert](https://apify.com/corent1robert) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 ## Ameli Health Directory Scraper Collect French health practitioners from the **official Ameli Annuaire Santé** (`annuairesante.ameli.fr`) — names, phone numbers (including mobile 06/07), addresses, convention sector, and practice type. **60,000+ practitioners** across 30 medical specialties. Filter by specialty and location. Export-ready dataset, one row per practitioner. **No login required. No API key. Public data only.** --- ### What you get | Field | Description | | ------------------------ | --------------------------------------------------------------- | | `fullName` | Full name with civility (M / Mme) | | `raisonSociale` | Cabinet or group practice name | | `specialite` | Medical specialty | | `phone` | Phone number | | `phoneType` | `mobile` (06/07) or `landline` | | `voie` | Street address | | `codePostal` | Postal code | | `ville` | City | | `latitude` / `longitude` | GPS coordinates | | `secteur` | Convention sector: Secteur 1, Secteur 2, or Non conventionné | | `carteVitale` | Accepts Carte Vitale (`true` / `false`) | | `natureExercice` | Practice type: Libéral intégral, Libéral activité salarié, etc. | | `dateDebutExercice` | Start date of current practice | --- ### Quick start 1. Open the Actor and click **Start** 2. Pick a medical specialty from the dropdown (e.g. Médecin généraliste) 3. Choose a location — all of France, or a department (e.g. `75` for Paris, `69` for Lyon) 4. Optionally filter by mobile numbers only, independent practitioners, Carte Vitale, etc. 5. Click **Start** — results appear in the dataset in real time --- ### Input #### Specialty Select one or more specialties from the dropdown — généralistes, cardiologues, kinésithérapeutes, psychiatres, pédiatres, ORL, orthodontistes, orthoptistes, gériatres, and more. All specialties that return results in the Ameli directory are available. You can combine several specialties in one run — results are merged and deduplicated automatically. #### Location | Option | How to use | | ----------------- | ---------------------------------------------------------------------------------------------------- | | **All of France** | Default — covers all of metropolitan France | | **By department** | Enter one or more department codes: `75` (Paris), `69` (Lyon), `13` (Marseille), `971` (Guadeloupe)… | #### Filters | Filter | What it does | | ------------------------------ | ------------------------------------------------------------- | | Mobile numbers only (06/07) | Keep only practitioners reachable by mobile | | Has phone number | Keep only practitioners with any phone listed | | Independent practitioners only | Keep only fully self-employed (`Libéral intégral`) | | Accepts Carte Vitale | Keep only practitioners who accept the health card | | Max results | Cap the number of results — leave empty to collect everything | --- ### Example inputs **Généralistes with mobile numbers across France (Console):** ```json { "profession": "37", "locationMode": "all_france", "mobileOnly": true, "liberalOnly": true } ```` **Psychiatres in the South-West (Console):** ```json { "profession": "58", "locationMode": "department", "departments": ["33", "31", "34"] } ``` **Multiple specialties at once — API / JSON only:** ```json { "professions": ["8", "35", "58"], "locationMode": "department", "departments": ["75", "69"] } ``` *** ### Output sample ```json { "fullName": "M Jean DUPONT", "raisonSociale": "Cabinet Médical du Centre", "specialite": "Médecin généraliste", "phone": "0612345678", "phoneType": "mobile", "voie": "12 rue de la Paix", "codePostal": "75001", "ville": "Paris", "secteur": "Secteur 1", "carteVitale": true, "natureExercice": "Libéral intégral" } ``` *** ### Performance | Scope | Approx. results | Run time | | ------------------------- | --------------- | ------------ | | 1 department | 50–500 | < 30 seconds | | All France, 1 specialty | 1,000–70,000 | 2–5 minutes | | All France, 3 specialties | 10,000–150,000 | 8–15 minutes | *** ### Important notes - **Public data only** — sourced from `annuairesante.ameli.fr`, the official Assurance Maladie directory - **Coverage** — metropolitan France + DOM-TOM (Guadeloupe, Martinique, Guyane, Réunion, Mayotte) - **Phone availability** — not every practitioner has a phone number listed; use the phone filters to keep only contactable records - **Sector 2 / Non conventionné** — some practitioners charge above the standard rate; the `secteur` field identifies them - **GPS coordinates** — present for most practitioners; may be `null` for recently registered records *** ### Support Need a custom specialty, enrichment pipeline, or help with your data? Contact # Actor input Schema ## `profession` (type: `string`): Choose the specialty to collect. Select **All specialties** to export the full directory in one run. ## `locationMode` (type: `string`): **All of France** — full metropolitan coverage (slower, 5–10 min per specialty). **By department** — fastest for targeted prospecting. Enter one or more department codes below. ## `departments` (type: `array`): Enter one or more French department codes — one per line. **Examples:** `75` (Paris), `69` (Lyon), `13` (Marseille), `971` (Guadeloupe). Corsica: `2A`, `2B`. DOM-TOM: `971`–`976`. ## `mobileOnly` (type: `boolean`): Keep only practitioners who have a mobile phone number (starting with 06 or 07). Ideal for SMS outreach or direct contact. ## `hasPhone` (type: `boolean`): Keep only practitioners who have any phone number listed in the directory — mobile or landline. ## `liberalOnly` (type: `boolean`): Keep only practitioners with status `Libéral intégral` — those working exclusively in their own private practice. Excludes hospital-based and mixed salaried/private practitioners. ## `acceptsCarteVitale` (type: `boolean`): Keep only practitioners who accept the French health insurance card (Carte Vitale). ## `maxResults` (type: `integer`): Stop collecting after this many practitioners. Leave empty (or remove this field) to collect everything. **Tip:** Set to `100` to test your configuration before a large run. ## Actor input object example ```json { "profession": "37", "locationMode": "all_france", "departments": [ "75" ], "mobileOnly": false, "hasPhone": false, "liberalOnly": false, "acceptsCarteVitale": false, "maxResults": 500 } ``` # Actor output Schema ## `dataset` (type: `string`): All collected practitioners — one row per practitioner. ## `runLog` (type: `string`): Live progress log: phases, counts, and duration. # 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 = { "profession": "37", "departments": [ "75" ] }; // Run the Actor and wait for it to finish const run = await client.actor("corent1robert/ameli-practitioners-scraper").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 = { "profession": "37", "departments": ["75"], } # Run the Actor and wait for it to finish run = client.actor("corent1robert/ameli-practitioners-scraper").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 '{ "profession": "37", "departments": [ "75" ] }' | apify call corent1robert/ameli-practitioners-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=corent1robert/ameli-practitioners-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ameli Health Directory · Practitioners by Specialty & City", "description": "Collect French health practitioners from the official Ameli directory. Filter by specialty, department, or city. Get names, phone numbers (mobile 06/07), addresses, sector — export-ready. No login needed.", "version": "1.2", "x-build-id": "SIKCh6gJoeyVDi3zT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/corent1robert~ameli-practitioners-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-corent1robert-ameli-practitioners-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/corent1robert~ameli-practitioners-scraper/runs": { "post": { "operationId": "runs-sync-corent1robert-ameli-practitioners-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/corent1robert~ameli-practitioners-scraper/run-sync": { "post": { "operationId": "run-sync-corent1robert-ameli-practitioners-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "profession": { "title": "Medical specialty", "enum": [ "ALL", "37", "20", "21", "35", "32", "58", "51", "62", "66", "52", "61", "8", "22", "28", "54", "60", "27", "48", "57", "64", "24", "50", "17", "14", "15", "47", "67", "69", "46", "53", "29", "68", "11", "55", "74", "75", "72", "9" ], "type": "string", "description": "Choose the specialty to collect. Select **All specialties** to export the full directory in one run.", "default": "37" }, "locationMode": { "title": "Location mode", "enum": [ "all_france", "department" ], "type": "string", "description": "**All of France** — full metropolitan coverage (slower, 5–10 min per specialty).\n\n**By department** — fastest for targeted prospecting. Enter one or more department codes below.", "default": "all_france" }, "departments": { "title": "Department code(s)", "type": "array", "description": "Enter one or more French department codes — one per line.\n\n**Examples:** `75` (Paris), `69` (Lyon), `13` (Marseille), `971` (Guadeloupe).\n\nCorsica: `2A`, `2B`. DOM-TOM: `971`–`976`.", "items": { "type": "string" } }, "mobileOnly": { "title": "Mobile numbers only (06 / 07)", "type": "boolean", "description": "Keep only practitioners who have a mobile phone number (starting with 06 or 07). Ideal for SMS outreach or direct contact.", "default": false }, "hasPhone": { "title": "Has phone number (any)", "type": "boolean", "description": "Keep only practitioners who have any phone number listed in the directory — mobile or landline.", "default": false }, "liberalOnly": { "title": "Independent practitioners only", "type": "boolean", "description": "Keep only practitioners with status `Libéral intégral` — those working exclusively in their own private practice. Excludes hospital-based and mixed salaried/private practitioners.", "default": false }, "acceptsCarteVitale": { "title": "Accepts Carte Vitale", "type": "boolean", "description": "Keep only practitioners who accept the French health insurance card (Carte Vitale).", "default": false }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Stop collecting after this many practitioners. Leave empty (or remove this field) to collect everything.\n\n**Tip:** Set to `100` to test your configuration before a large run." } } }, "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 } } } } } } } } } } ```