# VETS-4212 Federal Contractor Veteran Hiring (`ryanclinton/vets-4212-contractor-data`) Actor Search federal contractor veteran employment data from DOL VETS-4212 annual reports with VEVRAA compliance scoring. - **URL**: https://apify.com/ryanclinton/vets-4212-contractor-data.md - **Developed by:** [ryan clinton](https://apify.com/ryanclinton) (community) - **Categories:** Other, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $30.00 / 1,000 result returneds 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 ## VETS-4212 Federal Contractor Veteran Hiring Search federal contractor veteran employment data from DOL VETS-4212 annual reports with VEVRAA compliance scoring. ### What does this actor do? This actor searches the DOL VETS-4212 dataset containing required veteran employment data from federal contractors and subcontractors. Under VEVRAA (Vietnam Era Veterans' Readjustment Assistance Act), federal contractors must annually report their veteran hiring data. Each record includes: - Total employees and total veterans - Veteran categories: disabled, active duty wartime, Armed Forces Service Medal, recently separated - New hire data: total new hires, veteran new hires, disabled veteran new hires - **VEVRAA compliance scoring** based on the federal benchmark (~5.4%) ### Input parameters | Parameter | Type | Description | |-----------|------|-------------| | `apiKey` | string | DOL API key (free at https://dataportal.dol.gov/registration) | | `dryRun` | boolean | Return sample data (default: true unless apiKey provided) | | `companyName` | string | Search by company name (partial match) | | `state` | string | Two-letter state abbreviation | | `naicsCode` | string | NAICS industry code prefix | | `minEmployees` | integer | Minimum employee count | | `minVeteranPercent` | number | Minimum veteran employment percentage | | `reportYear` | integer | Specific reporting year | | `maxResults` | integer | Max records (1–5000, default: 500) | ### Output format ```json { "records": [ { "companyName": "LOCKHEED MARTIN CORPORATION", "state": "TX", "totalEmployees": 116000, "totalVeterans": 27840, "veteranPercentage": 24.0, "disabledVeterans": 4640, "newHiresTotal": 15000, "newHiresVeterans": 3750, "veteranNewHireRate": 25.0, "complianceScore": 90, "complianceLevel": "Excellent", "complianceFactors": [ "Strong veteran representation: 24.0% (+25)", "Strong veteran hiring rate: 25.0% of new hires (+15)" ] } ], "summary": { "totalRecords": 3, "totalEmployees": 148850, "totalVeterans": 37569, "overallVeteranRate": 25.24, "topEmployers": [...] } } ```` ### Compliance scoring Scores based on VEVRAA veteran hiring benchmark (~5.4%): | Factor | Impact | |--------|--------| | Veteran rate >= 8% | +25 | | Veteran rate >= 5.4% (meets benchmark) | +15 | | Veteran rate 3–5.4% | +5 | | Veteran rate < 3% | -10 | | Zero veterans | -20 | | Veteran new hire rate >= 10% | +15 | | Veteran new hire rate >= 5.4% | +8 | | Disabled veteran rate >= 2% | +10 | **Levels:** Excellent (80+), Good (60–79), Fair (40–59), Needs Improvement (<40) ### Use cases - **OFCCP compliance**: Assess federal contractor veteran hiring performance - **Government contracting**: Screen contractors for VEVRAA compliance - **Veteran advocacy**: Analyze employer veteran hiring patterns - **HR benchmarking**: Compare veteran hiring rates across industries - **Due diligence**: Evaluate contractor compliance before partnerships ### Data source DOL Veterans' Employment and Training Service: - `VETS/4212` — Annual VETS-4212 federal contractor veteran employment reports # Actor input Schema ## `apiKey` (type: `string`): Your DOL Open Data Portal API key. Register free at https://dataportal.dol.gov/registration ## `dryRun` (type: `boolean`): Return sample data without calling the API. Default: true (unless apiKey provided) ## `companyName` (type: `string`): Search by company name (partial match) ## `state` (type: `string`): Two-letter state abbreviation ## `naicsCode` (type: `string`): Industry NAICS code prefix (e.g., '54' for professional services) ## `minEmployees` (type: `integer`): Only return contractors with at least this many employees ## `minVeteranPercent` (type: `number`): Only return contractors with at least this veteran employment percentage ## `reportYear` (type: `integer`): Filter by specific reporting year ## `maxResults` (type: `integer`): Maximum records to return (1-5000) ## Actor input object example ```json { "dryRun": true, "maxResults": 500 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("ryanclinton/vets-4212-contractor-data").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("ryanclinton/vets-4212-contractor-data").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 ryanclinton/vets-4212-contractor-data --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ryanclinton/vets-4212-contractor-data", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "VETS-4212 Federal Contractor Veteran Hiring", "description": "Search federal contractor veteran employment data from DOL VETS-4212 annual reports with VEVRAA compliance scoring.", "version": "0.1", "x-build-id": "NEloOj15gXl9mf85y" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ryanclinton~vets-4212-contractor-data/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ryanclinton-vets-4212-contractor-data", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ryanclinton~vets-4212-contractor-data/runs": { "post": { "operationId": "runs-sync-ryanclinton-vets-4212-contractor-data", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ryanclinton~vets-4212-contractor-data/run-sync": { "post": { "operationId": "run-sync-ryanclinton-vets-4212-contractor-data", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "apiKey": { "title": "DOL API Key", "type": "string", "description": "Your DOL Open Data Portal API key. Register free at https://dataportal.dol.gov/registration" }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "Return sample data without calling the API. Default: true (unless apiKey provided)", "default": true }, "companyName": { "title": "Company Name", "type": "string", "description": "Search by company name (partial match)" }, "state": { "title": "State", "type": "string", "description": "Two-letter state abbreviation" }, "naicsCode": { "title": "NAICS Code", "type": "string", "description": "Industry NAICS code prefix (e.g., '54' for professional services)" }, "minEmployees": { "title": "Minimum Employees", "type": "integer", "description": "Only return contractors with at least this many employees" }, "minVeteranPercent": { "title": "Minimum Veteran %", "type": "number", "description": "Only return contractors with at least this veteran employment percentage" }, "reportYear": { "title": "Report Year", "type": "integer", "description": "Filter by specific reporting year" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum records to return (1-5000)", "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 } } } } } } } } } } ```