# Medicare Doctors & Clinicians Scraper - NPI & Specialty (`scrapers_lat/medicare-doctors-clinicians-scraper`) Actor
Find US Medicare-enrolled doctors and clinicians with NPI, credential, medical school, specialties, group practice, full address and phone. Filter by specialty, state, city, ZIP, name, credential, school or NPI. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/medicare-doctors-clinicians-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $17.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Doctors & Clinicians Scraper - Medicare NPI, Specialty & Phone
> Build targeted lists of US Medicare-enrolled doctors and clinicians with NPI, name, credential, medical school, graduation year, primary and secondary specialties, group practice affiliation, full practice address and published phone number. Filter by specialty, state, city, ZIP, name, credential, school, group or NPI and export clean structured data for outreach, recruiting, research and market analysis.
**📥 [Input](https://apify.com/scrapers_lat/medicare-doctors-clinicians-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/medicare-doctors-clinicians-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/medicare-doctors-clinicians-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/medicare-doctors-clinicians-scraper/examples)**
Name, NPI & credential with medical school & specialties
Practice phone & address plus group affiliation
JSON / CSV / Excel output formats
### What you get
Each clinician record includes:
- **Identity**: NPI, first / middle / last name, suffix, gender, credential (MD, DO, NP, PA and more)
- **Background**: medical school and graduation year
- **Specialties**: primary specialty plus every secondary specialty
- **Practice**: group / practice name, group PAC ID, number of providers in the group, telehealth flag
- **Contact**: full practice address (line 1, line 2, city, state, ZIP) and published phone number
- **Medicare**: accepts-assignment flag, individual PAC ID and enrollment ID
- A profile URL and the timestamp the record was read
### Who is it for
| Use case | Who benefits |
|---|---|
| Sales and outreach | Medical device, pharma and SaaS teams building targeted clinician lists |
| Recruiting | Healthcare recruiters sourcing doctors and clinicians by specialty and location |
| Market research | Analysts mapping provider supply, specialties and group practices by region |
| Data enrichment | Teams appending NPI, specialty, group affiliation and phone to existing records |
### How to use it
1. Add one or more **specialties** (for example DERMATOLOGY, CARDIOLOGY, NURSE PRACTITIONER) and **states**.
2. Optionally narrow by **city**, **ZIP**, **name**, **credential**, **medical school**, **group name**, **NPI** or **graduation year**, and turn on **only clinicians with a phone number**.
3. Set **Max Clinicians To Scrape** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**No result, no charge?**
Correct. You are billed only per real clinician record returned. A run that matches nothing costs you nothing.
**How do I search a specialty?**
Use the exact Medicare specialty label in the specialties field, for example INTERNAL MEDICINE, FAMILY PRACTICE, PSYCHIATRY, PHYSICIAN ASSISTANT. You can list several specialties and several states in one run.
**Do records include a phone number?**
Most do. Turn on "only clinicians with a phone number" to keep just the records that have a published practice phone.
**Can I look up specific clinicians?**
Yes. Put their 10-digit NPIs in the NPI numbers field to fetch those clinicians directly.
**How fresh is the data?**
Records are read live at run time, so each row reflects the source at the moment of the run (see observedAt).
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
- [NPPES NPI Healthcare Provider Data Scraper](https://apify.com/scrapers_lat/nppes-npi-scraper)
- [CMS Open Payments Scraper](https://apify.com/scrapers_lat/cms-open-payments-scraper)
- [Google Maps Business Leads & Contacts Scraper](https://apify.com/scrapers_lat/google-maps-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
***
> This actor is an independent tool and has no affiliation with the US Centers for Medicare & Medicaid Services. It only accesses publicly available provider data. Use the results in accordance with the source's terms.
# Actor input Schema
## `specialties` (type: `array`):
Filter by primary specialty. One run can scan several. Use the exact Medicare specialty label, for example DERMATOLOGY, CARDIOLOGY, INTERNAL MEDICINE, FAMILY PRACTICE, PSYCHIATRY, NURSE PRACTITIONER, PHYSICIAN ASSISTANT.
## `states` (type: `array`):
Filter by 2-letter US state code, for example CA, NY, TX. One run can scan several.
## `cities` (type: `array`):
Optional. Filter by practice city, for example SAN FRANCISCO, MIAMI.
## `zipCodes` (type: `array`):
Optional. Filter by practice ZIP code (5 or 9 digit).
## `lastName` (type: `string`):
Optional. Keep only clinicians whose last name starts with this text.
## `firstName` (type: `string`):
Optional. Keep only clinicians whose first name starts with this text.
## `credentials` (type: `array`):
Optional. Filter by credential, for example MD, DO, NP, PA.
## `medicalSchool` (type: `string`):
Optional. Keep only clinicians whose medical school name contains this text, for example HARVARD or STANFORD.
## `groupName` (type: `string`):
Optional. Keep only clinicians whose group or practice name contains this text.
## `npiNumbers` (type: `array`):
Optional. Look up specific clinicians by their 10-digit NPI.
## `graduatedAfterYear` (type: `integer`):
Optional. Keep only clinicians who graduated in or after this year.
## `onlyWithPhone` (type: `boolean`):
When on, skip records that have no published practice phone number.
## `maxProviders` (type: `integer`):
Maximum number of clinicians to collect.
## Actor input object example
```json
{
"specialties": [
"DERMATOLOGY"
],
"states": [
"CA"
],
"onlyWithPhone": false,
"maxProviders": 10
}
```
# 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 = {
"specialties": [
"DERMATOLOGY"
],
"states": [
"CA"
],
"maxProviders": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/medicare-doctors-clinicians-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 = {
"specialties": ["DERMATOLOGY"],
"states": ["CA"],
"maxProviders": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/medicare-doctors-clinicians-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 '{
"specialties": [
"DERMATOLOGY"
],
"states": [
"CA"
],
"maxProviders": 10
}' |
apify call scrapers_lat/medicare-doctors-clinicians-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/medicare-doctors-clinicians-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/qaJchXdnutMz4Ngqo/builds/UbwHz00Tln5Uu4Pcu/openapi.json