CMS Open Payments Scraper (Physician Payments) avatar

CMS Open Payments Scraper (Physician Payments)

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from $2.00 / 1,000 results

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CMS Open Payments Scraper (Physician Payments)

CMS Open Payments Scraper (Physician Payments)

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.

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from $2.00 / 1,000 results

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CMS Open Payments Scraper (Physician Payments)

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, with the recipient, paying company, amount, nature of payment and product all in one row

Apify Coverage Maintained Output

General, Research & Ownership
payment types
2019 to 2025
program years
JSON / CSV / Excel
output formats

What you get

Each record is one payment or transfer of value that a drug, biologic or medical device company (or a group purchasing organization) reported making to a physician, non-physician practitioner or teaching hospital. Search by physician name, NPI, paying company, state, program year or nature of payment, then export the full result set.

  • recipientName: full name of the physician or clinician who received the payment
  • recipientNpi: the recipient's 10-digit National Provider Identifier
  • recipientType: physician, non-physician practitioner or teaching hospital
  • recipientFirstName: recipient first name
  • recipientLastName: recipient last name
  • recipientSpecialty: the recipient's medical specialty taxonomy
  • recipientPrimaryType: primary provider type such as Medical Doctor or Nurse Practitioner
  • teachingHospitalName: teaching hospital name when the recipient is a hospital
  • recipientCity: recipient city
  • recipientState: recipient two-letter state code
  • recipientZip: recipient ZIP code
  • payingCompany: the drug or device manufacturer or GPO that made the payment
  • payingCompanyState: the paying company's state
  • payingCompanyCountry: the paying company's country
  • submittingCompany: the company that submitted the record to the program
  • amount: total amount of the payment in US dollars
  • valueOfInterest: value of the ownership or investment interest (ownership records)
  • paymentDate: date of the payment or transfer of value
  • numberOfPayments: how many payments the total covers
  • natureOfPayment: the category such as Consulting Fee, Food and Beverage, Travel and Lodging, Honoraria or Research
  • formOfPayment: the form such as cash, in-kind items and services or stock
  • termsOfInterest: description of the ownership terms (ownership records)
  • productType: whether the related product is a drug, biological, device or medical supply
  • productName: the name of the drug, biologic or device tied to the payment
  • productCategory: therapeutic area or product category
  • principalInvestigators: named principal investigators (research records)
  • programYear: the reporting year of the payment
  • paymentType: general, research or ownership
  • physicianOwnershipIndicator: whether the physician holds an ownership interest in the company
  • relatedProductIndicator: whether the payment is tied to a specific product
  • disputeStatus: whether the record was disputed for publication
  • paymentPublicationDate: the date the record was published
  • recordId: the unique program record identifier

You can pull everyday transfers of value (General payments), payments tied to research studies (Research payments), or physician ownership and investment interests (Ownership payments), for any program year from 2019 through 2025.

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.

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.

Need data from the same space? Here are other scrapers we build and maintain:

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This actor is built and maintained by 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.


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.