Medicare Part D Prescriber Scraper (CMS)

Medicare Part D prescriber data scraper — pull official CMS prescriber drug data by state, specialty, and drug, with claim counts and total drug cost per prescriber.

Built for pharma sales & market access teams, med-device companies, and healthcare market intelligence analysts who need to know who is prescribing what, where, and how much. This CMS prescriber scraper reads the official CMS open data release — Medicare Part D Prescribers by Provider and Drug — so every row is sourced from a public, authoritative federal dataset.

No API key required. Filter by state and (optionally) provider type, prescriber name, organization, or a specific drug, and get back prescriber-level prescriber drug data: NPI, name, specialty, location, brand and generic drug names, total claims, and total drug cost. Pairs naturally with our US Healthcare Provider (NPI) Scraper — match on npi to enrich prescribers with full registry contact details.

What you get

Field	Description
npi	Prescriber's 10-digit National Provider Identifier
prescriberName	Prescriber's name (last, first)
specialty	Prescriber specialty / provider type as classified by CMS
city	Prescriber city
state	Prescriber state
brandName	Brand name of the prescribed drug
genericName	Generic (non-proprietary) name of the drug
totalClaims	Total Part D claims for that prescriber/drug
totalDrugCost	Total drug cost in USD for that prescriber/drug
year	Data year of the CMS Part D release

Input

Field	Type	Default	Description
state	string	—	Two-letter state code (e.g. "CA"). Strongly recommended to keep runs fast and relevant
providerType	string	—	Optional specialty filter (e.g. "Endocrinology")
lastName	string	—	Optional prescriber last name filter
organizationName	string	—	Optional org name filter (used only if lastName is empty)
drugName	string	—	Optional drug filter (brand tried first, e.g. "Ozempic", then generic)
maxItems	integer	500	Max prescriber/drug rows to return

Example input

{
  "state": "CA",
  "providerType": "Endocrinology",
  "drugName": "Ozempic",
  "maxItems": 500
}

Example run output

{
  "npi": "1356789012",
  "prescriberName": "Patel, Anita",
  "specialty": "Endocrinology",
  "city": "San Diego",
  "state": "CA",
  "brandName": "Ozempic",
  "genericName": "Semaglutide",
  "totalClaims": 412,
  "totalDrugCost": 387450.18,
  "year": 2023
}

Use cases

• Pharma sales & market access teams identifying and ranking high-volume prescribers for a target drug in a territory.
• Med-device companies mapping specialty prescribing patterns to find clinical decision-makers.
• Healthcare market intelligence analysts sizing drug uptake and competitive share by state and specialty.
• Commercial ops teams enriching prescriber lists (join on npi with the NPI scraper) for territory planning.

vs IQVIA and enterprise prescriber-data vendors

IQVIA and similar prescriber-intelligence vendors sell this kind of intel through enterprise contracts at enterprise prices. This Medicare Part D prescriber scraper pulls the official CMS Part D public dataset instead — pay per result, no contract, no minimum.

Honest caveat: the CMS data is the public Medicare Part D claims summary, not IQVIA's proprietary projected, audited, all-payer panel. It covers Medicare Part D only and is released on CMS's annual schedule. If you need all-payer projected volumes, that's a different (paid) product. If you need authoritative Medicare prescribing fact, this is it.

Pricing

Pay per result — billed only for the prescriber/drug rows returned, no subscription.

Keywords

Medicare Part D prescriber data, CMS prescriber scraper, prescriber drug data, CMS open data prescribers, prescriber by drug, Ozempic prescribers, prescriber volume data, pharma market access data, prescriber NPI claims, Medicare prescribing data