We extract provider records, Medicare fee schedules, hospital quality ratings, and policy transmittals from CMS.gov. Delivered as clean JSON, CSV, or Parquet to your warehouse on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Provider Directory objects from cms.gov. All fields typed and schema-versioned.
"npi": "1023456789", "first_name": "John", "last_name": "Doe", "specialty": "Cardiology", "primary_address": "123 Health St, Boston, MA", "medicare_enrollment_status": "Active"
| # | npi | first_name | last_name | organization_name | specialty | primary_address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Care Compare (Hospitals) objects from cms.gov. All fields typed and schema-versioned.
"facility_id": "220086", "facility_name": "General Hospital", "state": "MA", "overall_rating": 4, "safety_score": "Above Average", "ownership_type": "Voluntary non-profit"
| # | facility_id | facility_name | state | overall_rating | safety_score | patient_experience_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fee Schedules objects from cms.gov. All fields typed and schema-versioned.
"hcpcs_code": "99213", "short_description": "Office/outpatient visit est", "mac_locality": "01102", "non_facility_fee": 92.45, "facility_fee": 65.2, "rvu_work": 1.3
| # | hcpcs_code | modifier | short_description | mac_locality | non_facility_fee | facility_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Drug Pricing (ASP) objects from cms.gov. All fields typed and schema-versioned.
"hcpcs_code": "J0131", "drug_name": "Acetaminophen injection", "payment_limit": 4.25, "billing_unit": "10 mg", "effective_date": "2024-01-01", "quarter": "Q1"
| # | hcpcs_code | short_description | ndc | drug_name | dosage | payment_limit |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Policy Transmittals objects from cms.gov. All fields typed and schema-versioned.
"transmittal_number": "R12345CP", "issue_date": "2023-11-02", "cr_number": "CR13456", "subject": "Annual Update to Fee Schedule", "manual_type": "Claims Processing", "pdf_url": "https://cms.gov/downloads/R12345CP.pdf"
| # | transmittal_number | issue_date | effective_date | implementation_date | cr_number | subject |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our CMS.gov scraper handles complex government data portals, legacy ASP.NET session states, bulk CSV archive processing, and PDF table extraction to deliver clean, warehouse-ready healthcare records.
Extract NPI, specialty, and contact details across the entire national registry. Maintain accurate provider networks.
Capture hospital ratings, readmission rates, and patient experience scores from the Care Compare databases.
Extract CPT, HCPCS, and RVU values directly from complex CMS pricing tools and multi-gigabyte CSV dumps.
Monitor Average Sales Price files and NDC mappings updated quarterly to track pharmaceutical reimbursement rates.
Track transmittals, Local Coverage Determinations, and National Coverage Determinations across all Medicare Administrative Contractors.
Extract text and tables from CMS policy PDFs and manuals automatically using layout-aware document parsers.
Navigate complex government search portals requiring session state, viewstate tokens, and sequential form submissions.
Maintain versioned histories of fee schedules and quality metrics over time to track longitudinal changes.
Run weekly directory updates or monthly pricing refreshes on your exact cadence with hash-based change detection.
Brief in. Clean data out.
Provide target datasets, provider criteria, or fee schedule localities. We design the extraction schema together.
We configure Scrapy crawlers, ASP.NET session handlers, and PDF parsers tailored for cms.gov architecture.
Schema validation, null-rate checks, and data type formatting before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or warehouse on agreed cadence.
CMS.gov relies on legacy web frameworks and massive file archives. Here is how we build resilient extraction pipelines for public sector data.
CMS.gov relies heavily on legacy ASP.NET forms. We manage ViewState, EventValidation, and session cookies to programmatically query provider and pricing databases without manual intervention.
CMS frequently publishes data as massive ZIP files containing dozens of relational CSVs. Our pipeline downloads, decompresses, joins, and normalises these files into queryable warehouse records.
Many coverage determinations and transmittals only exist as PDFs. We use OCR and layout-aware parsers to extract tables, effective dates, and policy text into structured JSON.
For the 7 million record NPI registry, full re-scrapes are inefficient. We maintain a hash index of last-seen values and only push diffs, reducing downstream processing load.
Government site structures change without warning. We alert on null-rate spikes, schema drift, and coverage drops, fixing selectors before your downstream applications fail.
Health plans and digital health startups maintain accurate provider directories and credentialing databases.
Revenue cycle management software ingests the latest Medicare fee schedules and RVU values for accurate claims.
Consultancies and researchers analyse Care Compare metrics to benchmark facility performance and safety.
Market access teams track Average Sales Price updates and NDC crosswalks for competitive intelligence.
Compliance officers monitor transmittals and coverage determinations to ensure billing practices align with CMS rules.
ML teams use structured provider and clinical quality datasets to train healthcare recommendation and triage models.
"CMS.gov holds the foundational datasets for American healthcare pricing and provider networks, but accessing it programmatically requires navigating legacy systems."
Most engineering teams underestimate the friction of government data portals. Extracting CMS data requires managing ASP.NET session states, parsing complex multi-gigabyte CSV archives, and extracting tables from unstructured PDFs. DataFlirt absorbs this complexity, delivering clean healthcare records directly to your warehouse.
Everything supported by our cms.gov scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles complex ASP.NET session states and interaction flows.
Dedicated pipeline stages for downloading, decompressing, and parsing complex PDFs and bulk CSV archives.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About cms.gov scraping, legality, and pipeline operations.
Ask us directly →CMS.gov provides public government data. Scraping publicly available information is generally permissible. We strictly target public directories, fee schedules, and quality metrics, avoiding any authenticated portals or protected health information (PHI).
CMS relies on ASP.NET forms with ViewState tokens. Our Playwright integration manages these session tokens automatically, allowing programmatic queries across provider and pricing databases.
Yes. We utilise layout-aware PDF parsers to extract tables, effective dates, and policy text from transmittals and coverage determinations, converting them into structured JSON.
We align our pipelines with CMS publication schedules. Fee schedules are typically updated quarterly, while provider directories can be synced weekly or monthly based on your requirements.
Yes. Our infrastructure automatically downloads, decompresses, and normalises bulk data files, delivering only the clean, structured records to your data warehouse.
Absolutely. We provide a sample run of up to 1,000 provider records or a specific fee schedule extract to validate schema fit and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off provider directory dump or a continuous fee schedule monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.
