Healthcare Intelligence Scraper

Aggregate healthcare provider data from the public NPI (National Provider Identifier) Registry. Search by specialty, location, or specific NPI numbers.

🎯 Features

• NPI Registry Access: Official CMS government database
• Specialty Search: 14+ medical specialties
• Location Filtering: State, city, ZIP code
• Provider Types: Individual and organization
• Contact Details: Phone, fax, addresses

📥 Input

{
    "searchType": "specialty",
    "specialties": ["cardiology", "pediatrics"],
    "location": { "state": "CA", "city": "Los Angeles" },
    "providerType": "individual",
    "maxResults": 1000
}

📤 Output

{
    "npi": "1234567890",
    "entityType": "Individual",
    "firstName": "John",
    "lastName": "Smith",
    "credential": "MD",
    "specialty": "Cardiology",
    "practiceAddress": {
        "address1": "123 Medical Center Dr",
        "city": "Los Angeles",
        "state": "CA",
        "postalCode": "90001"
    },
    "phone": "555-123-4567",
    "source": "NPI Registry",
    "scrapedAt": "2024-01-15T10:30:00Z"
}

🏥 Supported Specialties

Cardiology, Dermatology, Family Medicine, Internal Medicine, Neurology, Obstetrics, Oncology, Ophthalmology, Orthopedics, Pediatrics, Psychiatry, Radiology, Surgery, Urology

📊 Pricing

Suggested: $0.001 per provider

✅ Legal Compliance

Uses official NPI Registry public API from CMS.gov. All data is publicly available government information.

How to use Healthcare Intelligence Scraper

1. Open Healthcare Intelligence Scraper on Apify Store and click Try for free.
2. Fill in the input (the form is prefilled with a working example) and click Start.
3. Watch results appear in the Output tab, then download them as JSON, CSV, Excel or HTML, or read them through the API.
4. Optional: save the input as a task and add a schedule to run it automatically, or connect it to your tools with integrations and webhooks.

Use Healthcare Intelligence Scraper with AI agents (MCP)

Give Claude, ChatGPT, Cursor, VS Code or any MCP client this Actor as a tool through the hosted Apify MCP server. The agent sees the input fields with descriptions and example values, runs the Actor, and reads the results.

MCP server URL (this Actor only):

https://mcp.apify.com/?tools=technicaldost/healthcare-intelligence-scraper

Claude Code:

$claude mcp add --transport http apify "https://mcp.apify.com/?tools=technicaldost/healthcare-intelligence-scraper" --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Cursor, VS Code, Claude Desktop and other clients (mcp.json or the client's MCP settings):

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=technicaldost/healthcare-intelligence-scraper",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

Clients that support sign-in (such as Claude.ai connectors) can use the URL without a token and log in to Apify instead. Get your token in Apify Console → Settings → API & Integrations, or generate a ready config for your client at mcp.apify.com. In the agent the tool is named technicaldost--healthcare-intelligence-scraper; ask it, for example, to "run Healthcare Intelligence Scraper with {"state": "CA", "city": "Los Angeles", "specialty": "cardiology", "maxResults": 5}".

AI agents without an Apify account can also run and pay for this Actor per request with x402 agentic payments.

Run Healthcare Intelligence Scraper via API

Run the Actor and get its results in one call (replace YOUR_APIFY_TOKEN):

curl -X POST "https://api.apify.com/v2/acts/technicaldost~healthcare-intelligence-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"state": "CA", "city": "Los Angeles", "specialty": "cardiology", "maxResults": 5}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("technicaldost/healthcare-intelligence-scraper").call(run_input={"state": "CA", "city": "Los Angeles", "specialty": "cardiology", "maxResults": 5})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / TypeScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('technicaldost/healthcare-intelligence-scraper').call({"state": "CA", "city": "Los Angeles", "specialty": "cardiology", "maxResults": 5});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Long runs: start them with POST /v2/acts/technicaldost~healthcare-intelligence-scraper/runs and fetch the dataset when the run finishes, or receive a webhook.

Integrations

Healthcare Intelligence Scraper works with Make, Zapier, n8n, LangChain, Google Sheets, Slack, GitHub and webhooks. Schedule runs in Apify Console and send new results straight to your apps, spreadsheets or AI pipelines.

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FAQ

Can I use Healthcare Intelligence Scraper with AI agents like Claude or ChatGPT?

Yes. Connect the Apify MCP server with ?tools=technicaldost/healthcare-intelligence-scraper (see above) and the agent can run the Actor and read its results on its own.

Can I call Healthcare Intelligence Scraper from my own code?

Yes. Use the REST API, or the official Python and JavaScript clients shown above. Results are available as JSON, CSV, Excel, XML or HTML.

How do I run it on a schedule?

Save your input as a task in Apify Console and add a schedule (for example, daily). Use webhooks or integrations to send each run's results onward.

Is it legal to use this Actor?

It works with publicly available data. Make sure your use complies with the source website's terms and with data protection laws such as GDPR, especially for personal data.

Something doesn't work or I need a feature. What should I do?

Open an issue in the Issues tab on this Actor's page with an example input, and we'll look into it.