# NPI Healthcare Provider Directory (specialty + location) (`hereditary_model/healthcare-provider-directory`) Actor Builds healthcare provider lists by specialty and location from the public NPI registry: name, NPI, specialty, address, phone, and affiliations. Medtech sales and network research ready. - **URL**: https://apify.com/hereditary\_model/healthcare-provider-directory.md - **Developed by:** [Aaron Marxsen](https://apify.com/hereditary_model) (community) - **Categories:** Lead generation, Business, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## NPI Registry Provider Lookup by Specialty and Location Build a clean list of healthcare providers by specialty and location, straight from the public NPPES NPI registry. For each provider you get a normalized record: NPI number, name, credential, specialty, license, full practice address, and phone. Ready for medtech sales, provider network research, and referral mapping. Public registry data only: reliable, stable, and honest about what it contains. Built for medtech sales teams, healthcare recruiters, and network researchers. ### Features - Look up providers in the NPI registry by specialty and location - Get NPI, name, credential, specialty, and license per provider - Get full practice address and phone - Forgiving specialty search that maps lay terms to NPI taxonomy - Individual and organization records, normalized into one schema - Pay per provider, no subscription ### Use cases - Build a targeted list of providers for medtech outreach - Map a provider network by specialty in a market - Research referral sources for a practice - Give a healthcare sales agent a provider lookup tool ### Input | Field | Type | Description | | --- | --- | --- | | `specialty` | string (required) | Specialty or taxonomy keyword, for example Cardiology | | `location` | string (required) | City and state, or just a state, for example Asheville, NC | | `maxProviders` | integer (default 200) | Max records to return, up to 1200 | ```json { "specialty": "Cardiology", "location": "Asheville, NC", "maxProviders": 200 } ```` ### Output One record per provider: ```json { "npi": 1234567890, "type": "individual", "name": "William Abernethy", "credential": "M.D.", "primarySpecialty": "Internal Medicine, Interventional Cardiology", "licenseState": "NC", "city": "ASHEVILLE", "state": "NC", "phone": "828-274-6000" } ``` ### Pricing: worked example Pay per event. You are charged `search-init` at $0.05 once and `provider-extracted` at $0.01 per provider record. Pulling 200 providers triggers 1 start ($0.05) and 200 provider events ($2.00). Total: $2.05. ### How to use 1. Open the actor and click Try for free. 2. Enter a specialty (for example Cardiology) and a location (city and state, or a state). 3. Set `maxProviders` to control list size and cost. 4. Click Start. 5. Download the provider list as CSV or JSON from the Storage tab. 6. Import into your CRM or network research tool. ### FAQ **How do I search the NPI registry by specialty?** Enter a specialty and a location. The actor maps common terms to NPI taxonomy (for example Cardiology to Cardiovascular Disease) and returns matching providers. **Does it include email addresses?** No. The NPI registry does not publish emails. Any tool that claims registry emails is inferring them elsewhere. **Can I pull a whole state?** Yes, up to 1200 records per query. Narrow by city for an exhaustive local pull. **Is this data public?** Yes. It comes from the public federal NPPES registry. **Can an AI agent run this?** Yes. It supports agentic payments, so a sales agent can build provider lists and pay per record. ### API and agents Run it from the [Apify API](https://docs.apify.com/api/v2) or let an AI agent call it. Supports agentic payments via x402 and Skyfire (pay per event, limited permissions, no Standby). ```bash curl -X POST "https://api.apify.com/v2/acts/hereditary_model~healthcare-provider-directory/runs?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "specialty": "Cardiology", "location": "Asheville, NC" }' ``` ### Related actors - [Email and Social Media Extractor](https://apify.com/hereditary_model/contact-details-extractor) - [ATS Job Postings Scraper](https://apify.com/hereditary_model/ats-job-postings-scraper) - [Domain Intelligence API](https://apify.com/hereditary_model/domain-intelligence) - [Local SEO Audit](https://apify.com/hereditary_model/local-seo-audit) - [Website to Markdown for RAG and LLMs](https://apify.com/hereditary_model/website-to-markdown) - [Broken Link Checker](https://apify.com/hereditary_model/broken-link-checker) - [Bandcamp Discography Scraper](https://apify.com/hereditary_model/bandcamp-discography-scraper) # Actor input Schema ## `specialty` (type: `string`): Provider specialty or taxonomy keyword (matched against NPI taxonomy descriptions). Example: Cardiology, Physical Therapist, Pediatrics. ## `location` (type: `string`): City and state, or just a state. Examples: Asheville, NC or NC. Used to filter providers by practice location. ## `maxProviders` (type: `integer`): Maximum provider records to return. Each record is one billable event. The public registry returns up to 1200 per query. ## Actor input object example ```json { "specialty": "Cardiology", "location": "Asheville, NC", "maxProviders": 200 } ``` # 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 = { "specialty": "Cardiology", "location": "Asheville, NC" }; // Run the Actor and wait for it to finish const run = await client.actor("hereditary_model/healthcare-provider-directory").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 = { "specialty": "Cardiology", "location": "Asheville, NC", } # Run the Actor and wait for it to finish run = client.actor("hereditary_model/healthcare-provider-directory").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 '{ "specialty": "Cardiology", "location": "Asheville, NC" }' | apify call hereditary_model/healthcare-provider-directory --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hereditary_model/healthcare-provider-directory", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NPI Healthcare Provider Directory (specialty + location)", "description": "Builds healthcare provider lists by specialty and location from the public NPI registry: name, NPI, specialty, address, phone, and affiliations. Medtech sales and network research ready.", "version": "0.1", "x-build-id": "PUDGw3BqQiSpFTIZG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hereditary_model~healthcare-provider-directory/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hereditary_model-healthcare-provider-directory", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hereditary_model~healthcare-provider-directory/runs": { "post": { "operationId": "runs-sync-hereditary_model-healthcare-provider-directory", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hereditary_model~healthcare-provider-directory/run-sync": { "post": { "operationId": "run-sync-hereditary_model-healthcare-provider-directory", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "specialty", "location" ], "properties": { "specialty": { "title": "Specialty", "type": "string", "description": "Provider specialty or taxonomy keyword (matched against NPI taxonomy descriptions). Example: Cardiology, Physical Therapist, Pediatrics." }, "location": { "title": "Location", "type": "string", "description": "City and state, or just a state. Examples: Asheville, NC or NC. Used to filter providers by practice location." }, "maxProviders": { "title": "Max providers", "minimum": 1, "maximum": 1200, "type": "integer", "description": "Maximum provider records to return. Each record is one billable event. The public registry returns up to 1200 per query.", "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 } } } } } } } } } } ```