# Nppes Internal Medicine Leads Scraper (`gocreative.ai/nppes-internal-medicine-leads`) Actor Extract internal medicine physicians and hospitalist practices from the free CMS NPI Registry. Returns name, phone, address, credential, taxonomy, and NPI profile URL. Filter by state list and entity type. Ideal for pharmaceutical, medical device, and healthcare IT sales teams targeting internists. - **URL**: https://apify.com/gocreative.ai/nppes-internal-medicine-leads.md - **Developed by:** [GoCreative AI](https://apify.com/gocreative.ai) (community) - **Categories:** Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 1,000 leads 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Internal Medicine Physician Lead Finder ### 📊 Example output (real run) ![Sample output](https://api.apify.com/v2/key-value-stores/1ztQFHwG8acESTazI/records/nppes-internal-medicine-leads-sample) A real record from a live run — clean structured data, exported as CSV / JSON / Excel or via API. Extract internal medicine physicians and hospitalist practices from the free CMS NPI Registry. Returns name, phone, address, credential, taxonomy, and NPI profile URL. Filter by state list and entity type. Ideal for pharmaceutical, medical device, and healthcare IT sales teams targeting internists. --- ### What you get (real output fields) Every record includes: - `npi` - `entity_type` - `name` - `credential` - `organization_name` - `authorized_official_name` - `authorized_official_title` - `authorized_official_phone` - `phone` - `fax` - `address` - `address2` - `city` - `state` - `zip` - `taxonomy` - `taxonomy_code` - `license_state` - `status` - `enumeration_date` - `last_updated` - `npi_profile_url` #### Example record (real output, one live run) ```json { "npi": "1407202518", "entity_type": "Individual", "name": "JACOB AARON", "credential": "MD", "organization_name": "", "authorized_official_name": "", "authorized_official_title": "", "authorized_official_phone": "", "phone": "415-600-6000", "fax": "", "address": "3555 CESAR CHAVEZ", "address2": "", "city": "SAN FRANCISCO", "state": "CA", "zip": "941104403", "taxonomy": "Internal Medicine", "taxonomy_code": "207R00000X", "license_state": "MA", "status": "A", "enumeration_date": "2016-05-06", "last_updated": "2023-03-06", "npi_profile_url": "https://npiregistry.cms.hhs.gov/provider-view/1407202518" } ```` *** ### Use cases - **Sales & lead generation** — build a targeted, verifiable outreach list from a real public source. - **Market research** — measure coverage, count, and distribution for this category over time. - **CRM / enrichment pipeline** — feed structured rows straight into your CRM, Clay, or a data warehouse. - **Due diligence / verification** — every record traces back to its public source, so any lead can be checked by hand. *** ### How to use it 1. Run the actor (schedule it to catch new/changed records automatically). 2. Export results as **JSON, CSV, or Excel**, or pull via the Apify API/dataset. 3. Push straight into your CRM or outreach tool, or join it with our other lead/enrichment actors. ### Notes on data quality - Data is pulled directly from the public source described above — not aggregated or resold. - Fields the source left blank are returned as empty/null rather than guessed — no fabricated data. # Actor input Schema ## `states` (type: `string`): US state codes to scrape, comma-separated (e.g. CA,TX,FL). Leave empty for all 50 states + DC. ## `entityType` (type: `string`): NPI-1 returns individual physicians; NPI-2 returns group practices / organizations. ## `taxonomyDescription` (type: `string`): NPI taxonomy keyword to filter on. Default is 'Internal Medicine'. You can also try 'Hospitalist', 'Geriatric Medicine', etc. ## `maxPerState` (type: `integer`): Maximum number of providers to fetch per state. Max 5000. ## Actor input object example ```json { "states": "CA,TX,FL,NY,PA,IL,OH,GA,NC,MI", "entityType": "NPI-1", "taxonomyDescription": "Internal Medicine", "maxPerState": 500 } ``` # Actor output Schema # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("gocreative.ai/nppes-internal-medicine-leads").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 = {} # Run the Actor and wait for it to finish run = client.actor("gocreative.ai/nppes-internal-medicine-leads").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 '{}' | apify call gocreative.ai/nppes-internal-medicine-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gocreative.ai/nppes-internal-medicine-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nppes Internal Medicine Leads Scraper", "description": "Extract internal medicine physicians and hospitalist practices from the free CMS NPI Registry. Returns name, phone, address, credential, taxonomy, and NPI profile URL. Filter by state list and entity type. Ideal for pharmaceutical, medical device, and healthcare IT sales teams targeting internists.", "version": "0.1", "x-build-id": "fmy7q6R9E7wypvBtY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gocreative.ai~nppes-internal-medicine-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gocreative.ai-nppes-internal-medicine-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gocreative.ai~nppes-internal-medicine-leads/runs": { "post": { "operationId": "runs-sync-gocreative.ai-nppes-internal-medicine-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gocreative.ai~nppes-internal-medicine-leads/run-sync": { "post": { "operationId": "run-sync-gocreative.ai-nppes-internal-medicine-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "states": { "title": "States (comma-separated or list)", "type": "string", "description": "US state codes to scrape, comma-separated (e.g. CA,TX,FL). Leave empty for all 50 states + DC.", "default": "CA,TX,FL,NY,PA,IL,OH,GA,NC,MI" }, "entityType": { "title": "Entity Type", "enum": [ "NPI-1", "NPI-2" ], "type": "string", "description": "NPI-1 returns individual physicians; NPI-2 returns group practices / organizations.", "default": "NPI-1" }, "taxonomyDescription": { "title": "Taxonomy Description Keyword", "type": "string", "description": "NPI taxonomy keyword to filter on. Default is 'Internal Medicine'. You can also try 'Hospitalist', 'Geriatric Medicine', etc.", "default": "Internal Medicine" }, "maxPerState": { "title": "Max Results Per State", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of providers to fetch per state. Max 5000.", "default": 500 } } }, "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 } } } } } } } } } } ```