# Medtronic payments to US physicians

**Use case:** 

Which US physicians Medtronic paid in 2025, how much and in how many transactions, sorted by amount.

## Input

```json
{
  "payerName": "Medtronic",
  "programYear": "2025",
  "maxItems": 500,
  "recipientType": "all"
}
```

## Output

```json
{
  "recipientName": {
    "label": "Recipient name",
    "format": "string"
  },
  "payerName": {
    "label": "Payer name",
    "format": "string"
  },
  "totalAmountUsd": {
    "label": "Total amount usd",
    "format": "number"
  },
  "transactionCount": {
    "label": "Transaction count",
    "format": "integer"
  },
  "averagePaymentUsd": {
    "label": "Average payment usd",
    "format": "number"
  },
  "recipientType": {
    "label": "Recipient type",
    "format": "string"
  },
  "npi": {
    "label": "Npi",
    "format": "string"
  },
  "programYear": {
    "label": "Program year",
    "format": "string"
  },
  "openPaymentsUrl": {
    "label": "Open payments url",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The CMS Open Payments Scraper - Physician Payments Actor is ready to run with the inputs already set for "Medtronic payments to US physicians". [Sign up or log in](https://console.apify.com/create-task-from-example/EmFp6QHJPMKj2vOhN) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Medtronic payments to US physicians" task

The CMS Open Payments Scraper - Physician Payments Actor will start running based on the input automatically. You can also change all the input fields, like paying company, program year, and more, to match your specific use case.

### 3. Receive the "Medtronic payments to US physicians" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as recipient name, payer name, total amount usd, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Medtronic payments to US physicians" task via API](https://apify.com/dataio/cms-open-payments-physicians.md).

## About this Actor

This example demonstrates how to use [CMS Open Payments Scraper - Physician Payments](https://apify.com/dataio/cms-open-payments-physicians.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dataio/cms-open-payments-physicians.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/dataio/cms-open-payments-physicians.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).