# CDC PLACES Local Chronic Disease Data Scraper (`compute-edge/cdc-places-scraper`) Actor Extract CDC PLACES local-area chronic disease prevalence estimates (county, census tract, ZCTA). Covers 36+ measures: diabetes, hypertension, obesity, cancer screening, mental health, smoking, and more. - **URL**: https://apify.com/compute-edge/cdc-places-scraper.md - **Developed by:** [Compute Edge](https://apify.com/compute-edge) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## CDC PLACES Local Chronic Disease Data Scraper Extract **CDC PLACES** (Population Level Analysis and Community Estimates) — local-area chronic disease prevalence estimates published by the U.S. Centers for Disease Control and Prevention. PLACES uses small-area BRFSS modeling to produce health estimates at the **county, census tract, and ZCTA** level. 36+ measures across diabetes, hypertension, obesity, cancer screening, mental health, smoking, dental health, sleep, physical activity, and preventive care utilization. This Actor wraps CDC's public Socrata API with clean JSON output for analytics, RAG, and public-health dashboards. ### Features - Geography selector — `county`, `censustract`, or `zcta`. - Filter by state abbreviation, county name, or measure ID. - Returns full record: prevalence, confidence intervals, population denominator, geolocation. - No API key required. - Pagination up to 100,000 records per run. ### Output fields | Field | Description | |---|---| | year | Survey year | | stateAbbr, stateDesc | State | | locationName, locationId | County / tract GEOID / ZCTA | | category, measure, shortName | Health topic | | dataValue, dataValueUnit, dataValueType | Estimate value + unit (% or count) | | lowConfidenceLimit, highConfidenceLimit | 95% CI bounds | | totalPopulation, totalPop18Plus | Denominator | | latitude, longitude | Centroid of geography | ### Tutorial — How to scrape CDC PLACES data 1. Click **Try for free**. 2. Choose **Geography**: `county` (default), `censustract`, or `zcta`. 3. (Optional) Set **State** (e.g., `TX`) and **County** (e.g., `Harris`). 4. (Optional) Set **Measure** to a CDC measure ID — examples: `OBESITY`, `DIABETES`, `BPHIGH`, `CASTHMA`, `CANCER`, `DEPRESSION`, `MHLTH`, `SLEEP`. 5. Set **Max Results** and **Run**. ### Pricing Per-result. Lightweight — Socrata responds fast and runs cost cents. ### Use cases - Healthcare market sizing — identify counties with high diabetes prevalence to target diabetes-care providers. - Insurer / Medicare Advantage geographic strategy. - Public-health and academic research dashboards. - ESG/SDOH analyses combining health and geography. ### FAQ **Q: Is this data fresh?** Updated annually by CDC. **Q: Are census tracts and ZCTAs available?** Yes — switch the Geography input. **Q: Why the confidence intervals?** PLACES are modeled estimates from BRFSS — CIs convey statistical uncertainty. ### Legal CDC PLACES data is public-domain U.S. Government data. This Actor uses CDC's official Socrata Open Data endpoints. Cite CDC PLACES in derived analyses. # Actor input Schema ## `geography` (type: `string`): Which PLACES geography to pull: 'county', 'censustract', or 'zcta'. ## `stateAbbr` (type: `string`): Filter by state abbreviation (e.g., 'CA', 'TX'). Leave blank for all states. ## `countyName` (type: `string`): Filter by county name (exact match). Leave blank for all. ## `measure` (type: `string`): Filter by measure short name (e.g., 'OBESITY', 'DIABETES', 'BPHIGH', 'CASTHMA'). Leave blank for all. ## `maxResults` (type: `integer`): Maximum number of records to return. ## Actor input object example ```json { "geography": "county", "stateAbbr": "", "countyName": "", "measure": "", "maxResults": 500 } ```` # Actor output Schema ## `dataset` (type: `string`): No description # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("compute-edge/cdc-places-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("compute-edge/cdc-places-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 '{}' | apify call compute-edge/cdc-places-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=compute-edge/cdc-places-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CDC PLACES Local Chronic Disease Data Scraper", "description": "Extract CDC PLACES local-area chronic disease prevalence estimates (county, census tract, ZCTA). Covers 36+ measures: diabetes, hypertension, obesity, cancer screening, mental health, smoking, and more.", "version": "0.1", "x-build-id": "ts1EsctiAG2NkooT3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/compute-edge~cdc-places-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-compute-edge-cdc-places-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/compute-edge~cdc-places-scraper/runs": { "post": { "operationId": "runs-sync-compute-edge-cdc-places-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/compute-edge~cdc-places-scraper/run-sync": { "post": { "operationId": "run-sync-compute-edge-cdc-places-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "geography": { "title": "Geography", "enum": [ "county", "censustract", "zcta" ], "type": "string", "description": "Which PLACES geography to pull: 'county', 'censustract', or 'zcta'.", "default": "county" }, "stateAbbr": { "title": "State (2-letter)", "type": "string", "description": "Filter by state abbreviation (e.g., 'CA', 'TX'). Leave blank for all states.", "default": "" }, "countyName": { "title": "County Name", "type": "string", "description": "Filter by county name (exact match). Leave blank for all.", "default": "" }, "measure": { "title": "Measure", "type": "string", "description": "Filter by measure short name (e.g., 'OBESITY', 'DIABETES', 'BPHIGH', 'CASTHMA'). Leave blank for all.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of records to return.", "default": 500 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```