# US Healthcare Provider Leads Scraper (NPI / NPPES) (`mangudai/us-healthcare-provider-leads`) Actor Build targeted US healthcare provider lead lists from the official NPPES NPI Registry. Search doctors, dentists, nurses, clinics and practices by specialty and location. Get name, specialty, practice address, phone, license and organization decision-maker contacts. No API key. - **URL**: https://apify.com/mangudai/us-healthcare-provider-leads.md - **Developed by:** [MangudΓ€i](https://apify.com/mangudai) (community) - **Categories:** Lead generation, Open source, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 results 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 ## US Healthcare Provider Leads Scraper (NPI / NPPES) Build targeted lead lists of US doctors, dentists, nurses, clinics and healthcare organizations straight from the official **NPPES NPI Registry**. Search by specialty and location, get clean rows with **name, specialty, practice address, phone, license, and organization decision-maker contacts**. No API key, no login. The data comes from the CMS National Plan and Provider Enumeration System (NPPES), the authoritative public registry of every US provider that has an NPI. NPI records are public information intended for billing and credentialing, so there is no HIPAA restriction on the identifiers or practice details this Actor returns. ### What you get One row per provider (NPI), including: - NPI number, entity type (individual or organization), status - Name and credential (individuals) or organization name - Primary specialty (taxonomy) and taxonomy code - Practice phone and fax - Practice address (street, city, state, ZIP) and mailing address - License number and license state - Authorized-official contact for organizations (name, title, phone), a real decision-maker for B2B outreach - Enumeration date, last update, and a link to the NPPES profile ### Example input ```json { "taxonomyDescription": "Dentist", "states": ["TX", "CA", "FL", "NY"], "enumerationType": "", "maxItems": 500 } ```` Search by ZIP instead of state: ```json { "taxonomyDescription": "Nurse Practitioner", "postalCodes": ["10001", "10016", "10019"], "maxItems": 300 } ``` Organizations only, to reach practice decision-makers: ```json { "taxonomyDescription": "Home Health", "states": ["OH"], "enumerationType": "NPI-2", "maxItems": 1000 } ``` ### Input fields - **taxonomyDescription**: provider specialty, matched as a prefix. Examples: Dentist, Nurse Practitioner, Chiropractor, Physical Therapist, Psychologist, Counselor, Internal Medicine, Pharmacy, Home Health. - **states**: list of two-letter US state codes. Each state is searched in turn. - **enumerationType**: `NPI-1` for individuals, `NPI-2` for organizations, or empty for both. - **maxItems**: cap on total records returned. - **cities**, **postalCodes**, **organizationName**, **firstName**, **lastName**: optional extra filters. ### How it works and its limits The Actor calls the public NPPES API (`npiregistry.cms.hhs.gov/api`). That API returns at most 1,200 records per unique query, so to build larger lists give it several locations (states, cities, or ZIP codes) and the Actor paginates and de-duplicates across all of them. A search with no matches simply returns fewer rows; it never fails. ### Common uses - Medical, dental and healthcare sales prospecting - Recruiting and staffing for clinical roles - Building provider directories and market maps - EHR, billing, insurance and SaaS lead generation - Territory and coverage analysis by specialty and geography ### Notes Source: NPPES NPI Registry (CMS), public data. This Actor is not affiliated with or endorsed by CMS. Use the data in line with applicable laws and each recipient's contact preferences. # Actor input Schema ## `taxonomyDescription` (type: `string`): Specialty as used by NPPES, matched as a prefix. Examples: Dentist, Nurse Practitioner, Chiropractor, Physical Therapist, Psychologist, Counselor, Internal Medicine, Pharmacy, Home Health. ## `states` (type: `array`): Two-letter US state codes to search. The Actor searches each state in turn. Leave empty if you search by city, postal code, or name instead. ## `enumerationType` (type: `string`): Individuals (doctors, dentists, nurses), organizations (clinics, practices, agencies), or both. ## `maxItems` (type: `integer`): Maximum number of provider records to return across all searches. ## `cities` (type: `array`): Optional city names. If set together with states, the Actor searches each city within each state. ## `postalCodes` (type: `array`): Optional 5-digit ZIP codes. When set, the search runs by ZIP instead of by state/city. ## `organizationName` (type: `string`): Match organizations whose name starts with this text. ## `firstName` (type: `string`): Match individual providers by first name. ## `lastName` (type: `string`): Match individual providers by last name. ## Actor input object example ```json { "taxonomyDescription": "Dentist", "states": [ "TX", "CA", "FL", "NY" ], "enumerationType": "", "maxItems": 200 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "taxonomyDescription": "Dentist", "states": [ "TX", "CA", "FL", "NY" ], "maxItems": 200 }; // Run the Actor and wait for it to finish const run = await client.actor("mangudai/us-healthcare-provider-leads").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "taxonomyDescription": "Dentist", "states": [ "TX", "CA", "FL", "NY", ], "maxItems": 200, } # Run the Actor and wait for it to finish run = client.actor("mangudai/us-healthcare-provider-leads").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "taxonomyDescription": "Dentist", "states": [ "TX", "CA", "FL", "NY" ], "maxItems": 200 }' | apify call mangudai/us-healthcare-provider-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mangudai/us-healthcare-provider-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Healthcare Provider Leads Scraper (NPI / NPPES)", "description": "Build targeted US healthcare provider lead lists from the official NPPES NPI Registry. Search doctors, dentists, nurses, clinics and practices by specialty and location. Get name, specialty, practice address, phone, license and organization decision-maker contacts. No API key.", "version": "0.0", "x-build-id": "Jf7KGk72igekrDSAE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mangudai~us-healthcare-provider-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mangudai-us-healthcare-provider-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mangudai~us-healthcare-provider-leads/runs": { "post": { "operationId": "runs-sync-mangudai-us-healthcare-provider-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mangudai~us-healthcare-provider-leads/run-sync": { "post": { "operationId": "run-sync-mangudai-us-healthcare-provider-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "taxonomyDescription": { "title": "Provider type / specialty", "type": "string", "description": "Specialty as used by NPPES, matched as a prefix. Examples: Dentist, Nurse Practitioner, Chiropractor, Physical Therapist, Psychologist, Counselor, Internal Medicine, Pharmacy, Home Health." }, "states": { "title": "US states", "type": "array", "description": "Two-letter US state codes to search. The Actor searches each state in turn. Leave empty if you search by city, postal code, or name instead.", "items": { "type": "string" } }, "enumerationType": { "title": "Provider type to return", "enum": [ "", "NPI-1", "NPI-2" ], "type": "string", "description": "Individuals (doctors, dentists, nurses), organizations (clinics, practices, agencies), or both.", "default": "" }, "maxItems": { "title": "Max results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of provider records to return across all searches." }, "cities": { "title": "Cities (optional)", "type": "array", "description": "Optional city names. If set together with states, the Actor searches each city within each state.", "items": { "type": "string" } }, "postalCodes": { "title": "Postal codes (optional)", "type": "array", "description": "Optional 5-digit ZIP codes. When set, the search runs by ZIP instead of by state/city.", "items": { "type": "string" } }, "organizationName": { "title": "Organization name (optional)", "type": "string", "description": "Match organizations whose name starts with this text." }, "firstName": { "title": "First name (optional)", "type": "string", "description": "Match individual providers by first name." }, "lastName": { "title": "Last name (optional)", "type": "string", "description": "Match individual providers by last name." } } }, "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 } } } } } } } } } } ```