# CMS Open Payments Scraper (Physician Payments) (`scrapers_lat/cms-open-payments-scraper`) Actor
Scrape US CMS Open Payments records of industry payments to physicians and teaching hospitals. Get recipient name, NPI, specialty, paying company, amount, nature of payment, drug or device and program year. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/cms-open-payments-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $6.15 / 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
[](https://console.apify.com/actors/2ExszXoyhA2E7jet0/input)
## CMS Open Payments Scraper (Physician Payments)
> Extract US Open Payments records of drug and device company money paid to physicians, other clinicians and teaching hospitals. Every row carries the recipient with practice street address, NPI and CMS profile ID, the paying company with its payer ID, the amount, nature and form of payment, and the product with its drug NDC codes, plus study name and ClinicalTrials.gov ID on research payments
**📥 [Input](https://apify.com/scrapers_lat/cms-open-payments-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/cms-open-payments-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/cms-open-payments-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/cms-open-payments-scraper/examples)**
Practice address, NPI & profile ID full recipient detail
General, Research & Ownership 2019 to 2025
JSON / CSV / Excel output formats
### Use cases
- **Pharma and medtech compliance**: monitor and audit the payments your own company or your competitors reported, by product, physician or specialty, and reconcile them against internal records.
- **KOL and physician research**: find which key opinion leaders receive consulting fees, honoraria or research funding, from which companies, and how much, to map influence around a drug or device.
- **Investigative journalism and watchdog work**: quantify industry money flowing to named physicians and hospitals, spot outliers, and back reporting with structured, exportable data.
- **Academic and policy analysis**: build datasets on financial relationships between industry and medicine across states, specialties and years.
- **Due diligence and provider screening**: check the industry payment footprint of a specific physician by NPI before a partnership, hire or investment.
### How to use it
1. Pick a **Payment Type** (General, Research or Ownership) and a **Program Year**.
2. Add any filters you want: **NPI**, physician **first or last name**, **paying company** name (partial match works, for example Pfizer or Medtronic), **recipient state**, or **nature of payment** for General records.
3. Set **Max Items** to the number of records you want.
4. Run the actor and export the results as JSON, CSV or Excel, or pull them through the Apify API.
Leave all filters empty to pull the most recent records for the selected dataset.
### FAQ
**Where does this data come from?**
It comes from the US Open Payments program, the national disclosure system that requires drug and device companies to report payments and transfers of value they make to physicians, other covered clinicians and teaching hospitals. The records are public federal disclosures.
**Can I search by a specific doctor?**
Yes. Enter the physician's 10-digit NPI for an exact match, or use the first and last name filters. Every matching payment for the selected program year is returned.
**Can I find every payment a company made?**
Yes. Enter the company name in the paying company filter. Partial names work, so Stryker or Novartis will match all of that company's reported entities. Combine it with a state or nature of payment to narrow further.
**What is the difference between General, Research and Ownership payments?**
General payments are everyday transfers of value such as consulting fees, meals, travel and gifts. Research payments are tied to a research study or protocol. Ownership payments cover physician ownership and investment interests in a company.
**Which years are available?**
Program years 2019 through 2025 are all supported. Newer years are published each summer.
**How many records can I pull?**
As many as match your filters. Broad searches can contain hundreds of thousands of records, so use the filters and Max Items to keep result sets manageable.
**What formats can I export?**
JSON, CSV and Excel, plus direct access to the dataset through the Apify API.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Pfizer Physician Payments 2024 (CMS Open Payments)](https://apify.com/scrapers_lat/cms-open-payments-scraper/examples/cms-pfizer-general-payments-2024): Export 2024 CMS Open Payments general transfers of value made by Pfizer to US physicians, with amounts, dates and payment categories.
- [California Physician Consulting Fee Payments 2024](https://apify.com/scrapers_lat/cms-open-payments-scraper/examples/cms-consulting-fees-california-2024): Find 2024 consulting fee payments made to physicians in California, including paying company, physician name and dollar amount.
- [Medtronic Physician Payments 2023 (Medical Devices)](https://apify.com/scrapers_lat/cms-open-payments-scraper/examples/cms-medtronic-device-payments-2023): Export 2023 CMS Open Payments records from device maker Medtronic to US physicians, with amounts, dates and payment nature.
- [AbbVie Research Payments to Physicians 2024](https://apify.com/scrapers_lat/cms-open-payments-scraper/examples/cms-abbvie-research-payments-2024): Export 2024 research payments from AbbVie tied to clinical studies, with recipient, study name and payment amount.
- [Texas Physician Food and Beverage Payments 2024](https://apify.com/scrapers_lat/cms-open-payments-scraper/examples/cms-food-beverage-texas-2024): Find 2024 food and beverage transfers of value to physicians in Texas, with paying company, physician and amount per record.
- [Physician Ownership and Investment Interests 2024](https://apify.com/scrapers_lat/cms-open-payments-scraper/examples/cms-physician-ownership-interests-2024): Export 2024 CMS physician ownership and investment interest disclosures, with company, physician and value of the interest.
- [New York Physician Travel and Lodging Payments 2024](https://apify.com/scrapers_lat/cms-open-payments-scraper/examples/cms-travel-lodging-newyork-2024): Find 2024 travel and lodging payments to physicians in New York, with paying company, physician name and dollar amount.
- [Physician Royalty and License Payments 2024](https://apify.com/scrapers_lat/cms-open-payments-scraper/examples/cms-royalty-license-payments-2024): Export 2024 royalty and license payments to physicians, with paying company, recipient and amount for each record.
- [Johnson & Johnson Physician Payments 2024](https://apify.com/scrapers_lat/cms-open-payments-scraper/examples/cms-johnson-johnson-payments-2024): Export 2024 CMS Open Payments records from Johnson & Johnson companies to US physicians, with amounts and payment categories.
- [Florida Physician Speaker Program Payments 2024](https://apify.com/scrapers_lat/cms-open-payments-scraper/examples/cms-speaker-program-florida-2024): Find 2024 medical education speaker payments to physicians in Florida, with paying company, physician name and amount.
### 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
Need data from the same space? Here are other scrapers we build and maintain:
- [NPPES NPI Healthcare Provider Data Scraper](https://apify.com/scrapers_lat/nppes-npi-scraper): Extract US healthcare provider records from the NPPES NPI Registry with NPI number, name, specialty, license and practice address.
- [USAspending Federal Award Scraper](https://apify.com/scrapers_lat/usaspending-awards-scraper): Scrape US federal prime awards from USAspending.gov with recipient, UEI, award amount and awarding agency.
- [openFDA Drug Adverse Events Scraper](https://apify.com/scrapers_lat/openfda-drug-events-scraper): Extract FDA drug adverse event reports with drug, reaction, patient outcome and reporting details.
- [openFDA Device Adverse Events Scraper](https://apify.com/scrapers_lat/openfda-device-events-scraper): Extract FDA medical device adverse event reports with device, manufacturer, event type and outcome.
- [SEC EDGAR Filings Scraper](https://apify.com/scrapers_lat/sec-edgar-filings-scraper): Scrape company filings from SEC EDGAR with form type, filing date, company name and document links.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, 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 Centers for Medicare and Medicaid Services or the Open Payments program. It accesses only the payment records that CMS publishes as public federal disclosures under the Physician Payments Sunshine Act. This data is intentionally public, and individual physician names appear because federal law requires these financial relationships to be disclosed. The records are personal information about real people. Use this data lawfully and responsibly: respect the Open Payments terms of use, applicable privacy and anti-spam laws, and GDPR-style data-protection principles where they apply. Do not use it to harass any physician or for any purpose prohibited by law.
# Actor input Schema
## `maxPayments` (type: `integer`):
Maximum number of payment records to collect across all pages. Optional. Add filters below to narrow very large result sets.
## `paymentType` (type: `string`):
Which Open Payments dataset to search. General covers everyday transfers of value (consulting, food, travel, gifts). Research covers payments tied to research studies. Ownership covers physician ownership and investment interests.
## `programYear` (type: `string`):
The calendar year the payments were reported for.
## `npi` (type: `string`):
Filter to a single recipient by their 10-digit National Provider Identifier (NPI). Exact match.
## `physicianFirstName` (type: `string`):
Filter by recipient first name. Exact match, case-insensitive.
## `physicianLastName` (type: `string`):
Filter by recipient last name. Exact match, case-insensitive.
## `companyName` (type: `string`):
Filter by the paying company (drug or device manufacturer or group purchasing organization). Partial match, for example Pfizer, Medtronic, Stryker.
## `state` (type: `string`):
Two-letter US state or territory code of the recipient, for example CA, NY, TX, PR.
## `natureOfPayment` (type: `string`):
Filter General payments by the category of the transfer of value. Applies to General payments only.
## Actor input object example
```json
{
"maxPayments": 50,
"paymentType": "general",
"programYear": "2024",
"state": "",
"natureOfPayment": ""
}
```
# 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 = {
"maxPayments": 50
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/cms-open-payments-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 = { "maxPayments": 50 }
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/cms-open-payments-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 '{
"maxPayments": 50
}' |
apify call scrapers_lat/cms-open-payments-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/cms-open-payments-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/2ExszXoyhA2E7jet0/builds/KYr3ZZsHDOX8sXhND/openapi.json