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from $3.75 / 1,000 result items

CMS Open Data Scraper

Export healthcare datasets from the Centers for Medicare & Medicaid Services Open Data portal. Pull provider directories, hospital quality, drug spending, Medicare enrollment, and 3,000+ other CMS datasets with metadata and row-level data.

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from $3.75 / 1,000 result items

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ParseForge

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🏥 CMS Open Data Scraper

🚀 Export the U.S. Medicare and Medicaid data catalog in seconds. Search 5,000+ healthcare datasets by keyword, theme, or publisher, and pull the rows behind each one. No registration, no manual CSV wrangling.

The CMS Open Data Scraper exports the official Centers for Medicare & Medicaid Services open data catalog. Each catalog record returns 13 fields, including dataset identifier, title, description, publisher, contact, keyword and theme tags, modified date, access level, landing page, and download link. Switch to dataset mode and the same Actor returns the rows behind any catalog entry.

The catalog covers every public CMS dataset: hospital cost reports, Medicare Part B and Part D drug spending, provider directories, Medicaid enrollment, nursing-home compare, marketplace open enrollment, hospital quality indicators, and thousands more. Coverage spans every state, every Medicare Administrative Contractor region, and every measurement program CMS publishes.

🎯 Target Audience	💡 Primary Use Cases
Healthcare analysts, hospital finance teams, payer pricing teams, policy researchers, health-tech founders, journalists	Provider directory enrichment, drug-spend benchmarking, hospital cost analysis, quality-score lookups, payer comparison, claims research

📋 What the CMS Open Data Scraper does

Two run modes in a single Actor:

🗂️ Catalog mode. List every CMS dataset matching your search term, with metadata, tags, and the download link for each one.
📥 Dataset mode. Pull the rows behind a specific dataset slug straight into your dataset.
🏷️ Multi-dimensional filtering. Restrict by keyword, theme, publisher, access level, or last-modified date.
🔁 Always current. Every run fetches the live catalog state, so your downstream dataset reflects what CMS published today.

Each catalog record carries identifiers, descriptive metadata (title, description, contact), classification tags (keyword, theme), provenance (modified date, access level), and ready-to-use links (landing page, download URL).

💡 Why it matters: the CMS catalog is one of the richest open datasets in U.S. healthcare, but the listing surface is fragmented and the per-dataset download formats vary widely. This Actor gives you a single clean shape for both the catalog and the rows underneath it.

📊 Data fields

Each record includes: accessLevel, contactPoint, description, downloadUrl, identifier, keyword, landingPage, modified, publisher, rows, scrapedAt, theme, title. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
🌐 Open the Actor. Go to the CMS Open Data Scraper page on the Apify Store.
🎯 Set input. Choose catalog or dataset mode, type a search term, set maxItems.
🚀 Run it. Click Start and let the Actor collect your data.
📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the Centers for Medicare & Medicaid Services or the U.S. Department of Health and Human Services. All trademarks mentioned are the property of their respective owners. Only publicly available CMS open data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.

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