# CMS Medicare Spending Scraper | MSPB Provider Data (`parseforge/cms-data-medicare-spending-scraper`) Actor

Export CMS Medicare Spending Per Beneficiary (MSPB) data at hospital, state and national level. Filter by US state. Pull facility ID, name, address, MSPB score and measurement period from the official data.cms.gov API. CSV, Excel, JSON or XML for healthcare research.

- **URL**: https://apify.com/parseforge/cms-data-medicare-spending-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Other, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $19.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 🏥 CMS Medicare Spending Scraper

> 🚀 **Export CMS Medicare spending data in seconds.** Pull Medicare Spending Per Beneficiary (MSPB) scores by hospital, state, or national level. CSV, Excel, JSON, or XML.

The CMS Medicare Spending Scraper pulls Medicare Spending Per Beneficiary (MSPB) data from the official data.cms.gov provider-data API. Records cover hospital-level, state-level, and national spending figures for the Medicare program.

CMS publishes MSPB scores annually for all hospitals participating in Medicare. The MSPB score measures how Medicares spending per patient at a given hospital compares to the national median. Coverage includes 4,600+ US hospitals and rolled-up state and national figures.

**Target Audience / Use Cases**

| Who | Why |
|---|---|
| Healthcare consultancies | Benchmark hospital efficiency |
| Health insurance carriers | Analyze provider cost patterns |
| Hospital admin | Compare against peers |
| Policy researchers | Study Medicare spending variation |
| Investors | Evaluate healthcare providers for M\&A |
| Journalists | Cover healthcare cost stories |

### 📋 What the CMS Medicare Spending Scraper does

- Queries the data.cms.gov provider-data API for Medicare spending datasets
- Supports four dataset choices: hospital, state, national, and by-claim
- Filters by state code
- Returns 14 fields per record
- Exports to CSV, Excel, JSON, or XML
- Direct source links to CMS pages

> 💡 **Why it matters:** Medicare is the largest US health insurer by far. MSPB scores reveal which hospitals deliver care efficiently and which spend disproportionately. Programmatic access enables benchmarking, policy research, and investment analysis at scale.

### 📊 Data fields

Each record includes: `address`, `citytown`, `end_date`, `facility_id`, `facility_name`, `measure_id`, `measure_name`, `score`, `scrapedAt`, `sourceUrl`, `start_date`, `state`, `zip_code`. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

> ⚠️ **Good to Know:** The MSPB-1 measure has a national mean of 1.00. Scores below 1.00 indicate the hospital spends less per Medicare patient than the national average. Use state filtering to compare hospitals within the same regulatory environment.

### 🚀 How to use

1. **Create a free account** at [Apify](https://console.apify.com/sign-up?fpr=vmoqkp) (includes $5 free credit)
2. Open the **CMS Medicare Spending Scraper** actor page and click **Try for free**
3. Enter your state code, dataset, and optional facility filter
4. Optionally set **maxItems** and other filters
5. Click **Start** and wait for the run to finish
6. Download your dataset as **CSV, Excel, JSON, or XML**

### 🔗 Recommended Actors

| Actor | What it does |
|---|---|
| [Medicare Hospital Compare Scraper](https://apify.com/parseforge/hospital-compare-medicare-scraper) | Hospital quality ratings |
| [CMS Physician Compare Scraper](https://apify.com/parseforge/cms-physician-compare-scraper) | Medicare-enrolled physicians |
| [Medicare Home Health Compare Scraper](https://apify.com/parseforge/home-health-compare-scraper) | Home health agencies |

> 💡 **Pro Tip:** Browse the complete [ParseForge collection](https://apify.com/parseforge) for more government data, business intelligence, and research scrapers.

**Disclaimer:** This tool accesses publicly available CMS Medicare spending data via the official data.cms.gov API. ParseForge is not affiliated with CMS or HHS. Users are responsible for compliance with applicable laws.

### 🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our [contact form](https://tally.so/r/BzdKgA) or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our [Discord](https://parseforge.co/discord). It's the best place to get support and suggest new actors.

# Actor input Schema

## `maxItems` (type: `integer`):

How many records to collect per run.

## `dataset` (type: `string`):

Which CMS Medicare Spending dataset to query

## `state` (type: `string`):

Two-letter US state code (e.g. CA, NY, TX)

## `facilityName` (type: `string`):

Partial match on facility name

## Actor input object example

```json
{
  "maxItems": 10,
  "dataset": "rrqw-56er"
}
```

# Actor output Schema

## `results` (type: `string`):

Scraped records

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxItems": 10,
    "dataset": "rrqw-56er"
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/cms-data-medicare-spending-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "maxItems": 10,
    "dataset": "rrqw-56er",
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/cms-data-medicare-spending-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxItems": 10,
  "dataset": "rrqw-56er"
}' |
apify call parseforge/cms-data-medicare-spending-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=parseforge/cms-data-medicare-spending-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1dTgQm4agCvlCB4jg/builds/pkRej0cIUB5zpgwNf/openapi.json
