# Data USA API (`moving_beacon-owner1/my-actor-87`) Actor Fetches US demographic, economic, employment, health, and poverty data (no API key), including population, income, jobs, health stats, and poverty metrics. - **URL**: https://apify.com/moving\_beacon-owner1/my-actor-87.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Developer tools, Other, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## Data USA API Actor Fetches US economic and demographic data from the [Data USA](https://datausa.io) public API — no API key required. ### What it does This actor queries the Data USA API to retrieve structured government-style statistics about the United States, including: | Category | Available Measures | |---|---| | **Demographics** | Population, Median Age | | **Economics** | Household Income, Property Value, Average Wage | | **Employment** | Total Employment, Number of Employees | | **Health** | Adult Obesity, Diabetes Prevalence, Uninsured Rate | | **Poverty** | Poverty Rate, Could Not See Doctor Due To Cost | Data can be drilled down by **Nation → State → County → Metro Area → Congressional District → Place**. ### Input Examples #### 1. National population over time ```json { "drilldowns": "Nation", "measures": ["Population"], "year": "", "outputFormat": "json" } ```` #### 2. State-level income & poverty ```json { "drilldowns": "State", "measures": ["Household Income", "Poverty Rate"], "year": "latest", "sortBy": "Household Income", "sortOrder": "desc", "limit": 50 } ``` #### 3. County health data with visual summary ```json { "drilldowns": "County", "measures": ["Adult Obesity", "Diabetes Prevalence"], "year": "latest", "limit": 100, "outputFormat": "visualSummary" } ``` #### 4. Custom API endpoint ```json { "customEndpoint": "https://datausa.io/api/data?drilldowns=State&measures=Population,Household Income&year=latest" } ``` ### Output Records are pushed to the **default dataset** and are enriched with: - Formatted strings (e.g., `$65,000`, `12.34%`, `331,449,281`) - Extraction timestamp and source tag #### Key-Value Store Outputs | Key | Description | |---|---| | `OUTPUT` | Run summary with status, metadata, sample records | | `METADATA` | Source info, API URL, timestamps | | `OUTPUT_CSV` | CSV export (when `outputFormat: "csv"`) | | `VISUAL_SUMMARY` | Statistics & top-5 rankings (when `outputFormat: "visualSummary"`) | #### Visual Summary includes - Record count & year range - Per-measure statistics: min, max, mean, median, sum, growth rate - Top 5 records by the primary measure # Actor input Schema ## `cube` (type: `string`): Tesseract cube name. Leave empty to auto-resolve from measures. Known cubes: acs\_yg\_total\_population\_5, acs\_yg\_income\_5, acs\_yg\_property\_value\_5, acs\_yg\_median\_age\_5, bls\_yg\_employment, chr\_health, pums\_yg\_poverty\_5. ## `drilldowns` (type: `string`): Geographic or categorical dimensions (comma-separated). Examples: Nation, State, County, Year, Metropolitan Statistical Area, Congressional District, Place. ## `measures` (type: `array`): Data measures to retrieve (comma-separated or select). The actor auto-resolves each measure to the correct cube. ## `year` (type: `string`): Filter by year (e.g. '2023'). Use 'latest' to sort newest-first without filtering. Leave empty for all years. ## `stateFilter` (type: `string`): Filter by state FIPS ID (e.g. '04000US06' for California). Leave empty for all. ## `filters` (type: `string`): Tesseract filter expression on measures (e.g. 'Population.gt.1000000'). Supports gt, gte, lt, lte, eq, neq. Combine with .and. or .or. ## `parents` (type: `boolean`): Include parent members in hierarchical dimensions (e.g. State for County drilldown). ## `sortBy` (type: `string`): Sort by a specific measure name. ## `sortOrder` (type: `string`): Ascending or descending. ## `limit` (type: `integer`): Max records to return. 0 = no limit. ## `outputFormat` (type: `string`): Choose output format. ## `customEndpoint` (type: `string`): Advanced: provide a full Tesseract API URL. Overrides all other params if set. Example: https://api.datausa.io/tesseract/data.jsonrecords?cube=acs\_yg\_total\_population\_5\&drilldowns=State,Year\&measures=Population ## Actor input object example ```json { "cube": "", "drilldowns": "Nation", "measures": [ "Population" ], "year": "", "stateFilter": "", "filters": "", "parents": false, "sortBy": "", "sortOrder": "desc", "limit": 100, "outputFormat": "json", "customEndpoint": "" } ``` # 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("moving_beacon-owner1/my-actor-87").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("moving_beacon-owner1/my-actor-87").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 moving_beacon-owner1/my-actor-87 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/my-actor-87", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Data USA API", "description": "Fetches US demographic, economic, employment, health, and poverty data (no API key), including population, income, jobs, health stats, and poverty metrics.", "version": "0.0", "x-build-id": "OqAYzyvMV5mOTmNDR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~my-actor-87/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-my-actor-87", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~my-actor-87/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-my-actor-87", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~my-actor-87/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-my-actor-87", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "measures" ], "properties": { "cube": { "title": "Cube (Dataset)", "type": "string", "description": "Tesseract cube name. Leave empty to auto-resolve from measures. Known cubes: acs_yg_total_population_5, acs_yg_income_5, acs_yg_property_value_5, acs_yg_median_age_5, bls_yg_employment, chr_health, pums_yg_poverty_5.", "default": "" }, "drilldowns": { "title": "Drilldowns", "type": "string", "description": "Geographic or categorical dimensions (comma-separated). Examples: Nation, State, County, Year, Metropolitan Statistical Area, Congressional District, Place.", "default": "Nation" }, "measures": { "title": "Measures", "type": "array", "description": "Data measures to retrieve (comma-separated or select). The actor auto-resolves each measure to the correct cube.", "items": { "type": "string", "enum": [ "Population", "Household Income", "Property Value", "Median Age", "Average Wage", "Total Employment", "Number of Employees", "Poverty Rate", "Uninsured", "Uninsured Rate", "Adult Obesity", "Diabetes Prevalence", "Could Not See Doctor Due To Cost" ] }, "default": [ "Population" ] }, "year": { "title": "Year Filter", "type": "string", "description": "Filter by year (e.g. '2023'). Use 'latest' to sort newest-first without filtering. Leave empty for all years.", "default": "" }, "stateFilter": { "title": "State Filter (FIPS code)", "type": "string", "description": "Filter by state FIPS ID (e.g. '04000US06' for California). Leave empty for all.", "default": "" }, "filters": { "title": "Measure Filters", "type": "string", "description": "Tesseract filter expression on measures (e.g. 'Population.gt.1000000'). Supports gt, gte, lt, lte, eq, neq. Combine with .and. or .or.", "default": "" }, "parents": { "title": "Include Parent Geographies", "type": "boolean", "description": "Include parent members in hierarchical dimensions (e.g. State for County drilldown).", "default": false }, "sortBy": { "title": "Sort By", "type": "string", "description": "Sort by a specific measure name.", "default": "" }, "sortOrder": { "title": "Sort Order", "enum": [ "asc", "desc" ], "type": "string", "description": "Ascending or descending.", "default": "desc" }, "limit": { "title": "Result Limit", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Max records to return. 0 = no limit.", "default": 100 }, "outputFormat": { "title": "Output Format", "enum": [ "json", "csv", "visualSummary" ], "type": "string", "description": "Choose output format.", "default": "json" }, "customEndpoint": { "title": "Custom Tesseract URL", "type": "string", "description": "Advanced: provide a full Tesseract API URL. Overrides all other params if set. Example: https://api.datausa.io/tesseract/data.jsonrecords?cube=acs_yg_total_population_5&drilldowns=State,Year&measures=Population", "default": "" } } }, "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 } } } } } } } } } } ```