# US Labor Market Intelligence - BLS + DOL + World Bank (`ntriqpro/us-labor-market-intelligence`) Actor Aggregate BLS employment/wage/CPI data, DOL Wage & Hour violations, CDC worker health, World Bank labor indicators, and GDELT news. Returns labor health score 0-100. US public domain + CC-BY 4.0. - **URL**: https://apify.com/ntriqpro/us-labor-market-intelligence.md - **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $150.00 / 1,000 us labor market queries 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 ## US Labor Market Intelligence Actor Comprehensive US labor market data aggregation from 5 authoritative public sources: Bureau of Labor Statistics (BLS), Department of Labor (DOL), CDC NIOSH, World Bank, and GDELT. ### Features - **BLS Data**: Total nonfarm employment, average hourly earnings, unemployment rate, CPI-U - **DOL Wage & Hour**: Labor violations and enforcement actions (US-wide) - **CDC NIOSH**: Worker health and occupational safety indicators - **World Bank**: 5 employment indicators (unemployment, employment ratio, female participation, etc.) - **GDELT News**: 30-day labor/employment news sentiment analysis - **Labor Health Score**: Composite 0-100 metric (30% unemployment, 25% wage, 20% participation, 15% violations, 10% sentiment) ### Input Schema ```json { "state": "CA", // Two-letter state code (optional, default: US) "year": 2024, // Analysis year 2020-2024 (default: 2024) "industryCode": "" // 6-digit NAICS code (optional, for future use) } ```` ### Output Schema ```json { "query": { "state": "CA", "year": 2024, "timestamp": "2024-04-08T10:30:00Z" }, "bls": { "totalEmployment": 158234000, "avgHourlyEarnings": 35.21, "unemploymentRate": 4.1, "cpi": 313.5 }, "dol": { "violationCount": 12, "totalBackWagesUsd": 245000 }, "cdc": { "recordCount": 1240 }, "worldBank": { "Unemployment rate": 4.1, "Employment to population ratio": 60.4, "Female labor force participation": 56.7 }, "gdelt": { "newsCount30d": 1240, "avgTone": -1.2 }, "laborHealthScore": 72, "sources": [ { "name": "US Bureau of Labor Statistics (BLS)", "url": "https://www.bls.gov/", "license": "Public Domain (17 U.S.C. § 105)" }, { "name": "The World Bank", "url": "https://data.worldbank.org/", "license": "CC-BY 4.0" }, { "name": "The GDELT Project", "url": "https://www.gdeltproject.org/", "license": "CC-BY 4.0" } ], "disclaimer": "..." } ``` ### Data Sources #### 1. Bureau of Labor Statistics (BLS) - **Public Domain** (17 U.S.C. § 105) - Endpoint: `https://api.bls.gov/publicAPI/v2/timeseries/data/` - Key Series: - `CES0000000001` - Total Nonfarm Employment - `CES0500000003` - Average Hourly Earnings - `LNS14000000` - Unemployment Rate - `CUUR0000SA0` - Consumer Price Index (CPI-U) - Rate Limit: 25 requests/day without API key - Timeout: 15 seconds #### 2. Department of Labor (DOL) - **Public Domain** - Wage and Hour Division enforcement data - Gracefully skips if unavailable (fallback to World Bank) - Timeout: 10 seconds #### 3. CDC NIOSH - **Public Domain** - Occupational injury and illness data - Socrata API endpoint with 1000 requests/hour limit - Gracefully skips if unavailable - Timeout: 10 seconds #### 4. World Bank - **Creative Commons Attribution 4.0 (CC-BY 4.0)** - Endpoint: `https://api.worldbank.org/v2/country/US/indicator/{code}` - Indicators: - `SL_UEM_TOTL_ZS` - Unemployment rate (% of labor force) - `SL_EMP_TOTL_SP_ZS` - Employment to population ratio - `SL_GDP_PCAP_EM_KD` - GDP per employed person - `SL_TLF_0714_ZS` - Child labor (% of children ages 7-14) - `SL_TLF_CACT_FE_ZS` - Female labor force participation rate - No authentication required - 5 parallel requests, timeout: 15 seconds #### 5. GDELT Project - **Creative Commons Attribution 4.0 (CC-BY 4.0)** - Endpoint: `https://api.gdeltproject.org/api/v2/doc/doc` - Queries labor/employment/unemployment news articles (last 30 days) - Returns sentiment tone (-10 to +10) for each article - No authentication required - Timeout: 10 seconds ### Labor Health Score Calculation Composite metric combining 5 weighted indicators: ``` Score = 50 (baseline) + (Unemployment Score - 50) × 0.30 + // 30% weight (lower unemployment = higher score) (Wage Score - 50) × 0.25 + // 25% weight (higher wages = higher score) (Employment Ratio Score - 50) × 0.20 + // 20% weight (higher employment = higher score) (Female Participation Score - 50) × 0.10 + // 10% weight (News Tone Score - 50) × 0.15 // 15% weight (positive sentiment = higher score) ``` Range: 0-100 (50 = neutral baseline) ### Error Handling - **Individual API failure**: Graceful degradation (continue with remaining sources) - **All APIs fail**: Returns error notes in output with available data - **Timeout**: 10-15 second timeouts per API to prevent hanging - **No PPE charge on error** (only on successful query execution) ### Pricing (PPE) - **$0.15 USD** per query execution - Charged only on successful completion (`await Actor.charge({eventName: 'labor_query'})`) - Apify takes 20%, developer receives 80% ### Disclaimer ⚠️ **NOT employment, investment, or hiring advice.** This Actor: - Provides historical data aggregation only - Does NOT recommend hiring, layoffs, or employment decisions - Does NOT forecast labor trends or wage changes - Does NOT constitute legal, HR, or financial advice - Data must be verified with original sources - Historical data does not predict future conditions For employment law questions, consult qualified legal counsel. ### Legal Attribution Data is redistributed under original license terms: - "Data source: US Bureau of Labor Statistics (BLS)" - "Data source: US Department of Labor" - "Data source: US Centers for Disease Control" - "Data source: The World Bank (CC BY 4.0)" - "Data source: The GDELT Project (CC BY 4.0)" ### Example Usage #### Local Testing ```bash npm install npm start ## Test input (stdin): { "state": "CA", "year": 2024 } ``` #### Cloud Deployment & Testing ```bash ## Push to Apify Cloud apify push ## Test from cloud (outputs to dataset) apify call us-labor-market-intelligence --input='{"state":"CA","year":2024}' ## View results apify dataset --clean ``` ### Performance - Parallel fetching of 5 APIs (Promise.allSettled) - Individual timeouts: 10-15 seconds per API - Expected runtime: 5-10 seconds - Dataset output: ~3-5 KB per execution ### Version History - **1.0.0** (2026-04-08): Initial release with 5-source aggregation, composite scoring, full disclaimers *** **Author:** NtriqPRO\ **License:** ISC\ **Updated:** 2026-04-08 # Actor input Schema ## `state` (type: `string`): Two-letter US state code or full name (e.g., 'CA' for California, 'NY' for New York). Optional. ## `year` (type: `integer`): Year for labor market analysis (2020-2024). Defaults to 2024. ## `industryCode` (type: `string`): 6-digit NAICS code for industry-specific analysis (e.g., '621111' for office-based general medicine). Leave blank for all industries. ## Actor input object example ```json { "state": "CA", "year": 2024 } ``` # Actor output Schema ## `results` (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 = { "state": "CA", "year": 2024 }; // Run the Actor and wait for it to finish const run = await client.actor("ntriqpro/us-labor-market-intelligence").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 = { "state": "CA", "year": 2024, } # Run the Actor and wait for it to finish run = client.actor("ntriqpro/us-labor-market-intelligence").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 '{ "state": "CA", "year": 2024 }' | apify call ntriqpro/us-labor-market-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ntriqpro/us-labor-market-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Labor Market Intelligence - BLS + DOL + World Bank", "description": "Aggregate BLS employment/wage/CPI data, DOL Wage & Hour violations, CDC worker health, World Bank labor indicators, and GDELT news. Returns labor health score 0-100. US public domain + CC-BY 4.0.", "version": "1.0", "x-build-id": "bJDzWyi4ymRKVT6eF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ntriqpro~us-labor-market-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ntriqpro-us-labor-market-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ntriqpro~us-labor-market-intelligence/runs": { "post": { "operationId": "runs-sync-ntriqpro-us-labor-market-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ntriqpro~us-labor-market-intelligence/run-sync": { "post": { "operationId": "run-sync-ntriqpro-us-labor-market-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "state": { "title": "US State (FIPS or Code)", "type": "string", "description": "Two-letter US state code or full name (e.g., 'CA' for California, 'NY' for New York). Optional." }, "year": { "title": "Analysis Year", "type": "integer", "description": "Year for labor market analysis (2020-2024). Defaults to 2024." }, "industryCode": { "title": "NAICS Industry Code (Optional)", "type": "string", "description": "6-digit NAICS code for industry-specific analysis (e.g., '621111' for office-based general medicine). Leave blank for all industries." } } }, "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 } } } } } } } } } } ```