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⇱ Medicare Part D Prescriber Scraper — NPI, drugs, claims · Apify

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Medicare Part D Prescriber Scraper (CMS)

Pricing

$5.00 / 1,000 result items

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Medicare Part D Prescriber Scraper (CMS)

Export Medicare Part D prescribers by state, specialty and drug from CMS open data: NPI, prescriber, specialty, brand/generic drug, total claims and drug cost. Pharma & med-device market intel, pay per result.

Pricing

$5.00 / 1,000 result items

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👁 ziv shay

ziv shay

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5 days ago

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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

FieldDescription
npiPrescriber's 10-digit National Provider Identifier
prescriberNamePrescriber's name (last, first)
specialtyPrescriber specialty / provider type as classified by CMS
cityPrescriber city
statePrescriber state
brandNameBrand name of the prescribed drug
genericNameGeneric (non-proprietary) name of the drug
totalClaimsTotal Part D claims for that prescriber/drug
totalDrugCostTotal drug cost in USD for that prescriber/drug
yearData year of the CMS Part D release

Input

FieldTypeDefaultDescription
statestring—Two-letter state code (e.g. "CA"). Strongly recommended to keep runs fast and relevant
providerTypestring—Optional specialty filter (e.g. "Endocrinology")
lastNamestring—Optional prescriber last name filter
organizationNamestring—Optional org name filter (used only if lastName is empty)
drugNamestring—Optional drug filter (brand tried first, e.g. "Ozempic", then generic)
maxItemsinteger500Max 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

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