# USAJOBS Clearance & Defense Jobs Monitor (`scrapewizard/usajobs-scraper`) Actor Track USAJOBS listings with defense and clearance relevance using official API data. Filter by keywords, location, series, grade, remote, and posting age. Returns normalized job records with clearance signals, salary, apply URL, and freshness timestamps. - **URL**: https://apify.com/scrapewizard/usajobs-scraper.md - **Developed by:** [ScrapeWizard](https://apify.com/scrapewizard) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.20 / 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 ## USAJOBS Defense/Clearance Job Monitor Monitor USAJOBS postings with defense and clearance-focused filtering. Designed for recurring sourcing and compliance workflows. ### Features - Pulls jobs from official USAJOBS Search API. - Supports filters by keywords, location, series, grade range, and posting age. - Adds clearance-focused signals from job text. - Normalizes output fields for downstream alerting and analytics. - Includes stable IDs and timestamps (`positionId`, `lastSeenAt`) for delta tracking. ### Input example ```json { "keywords": "systems engineer", "location": "Washington, DC", "series": ["2210", "1550"], "gradeMin": 11, "gradeMax": 15, "remoteOnly": false, "clearanceOnly": true, "postedWithinDays": 14, "maxResults": 200, "includeExpired": false } ```` ### Authentication USAJOBS API requires these headers: - `Host: data.usajobs.gov` - `User-Agent: ` - `Authorization-Key: ` Set credentials via actor environment variables: - `USAJOBS_API_KEY` - `USAJOBS_USER_AGENT` You can also provide `usajobsApiKey` and `usajobsUserAgent` in actor input as overrides. ### Output fields - `positionId`, `jobTitle`, `department`, `agency` - `series`, `grade` - `salaryMin`, `salaryMax`, `salaryInterval` - `locations`, `remoteEligible` - `securityClearance`, `drugTestRequired` - `positionOpenDate`, `positionCloseDate` - `hiringPath`, `appointmentType`, `workSchedule` - `clearanceSignals`, `summary` - `applyUrl`, `sourceUrl`, `lastSeenAt`, `isExpired` ### PPE events This actor charges: - `apify-actor-start` once per run - `result-scraped` for each pushed record # Actor input Schema ## `keywords` (type: `string`): Free-text keyword filter. ## `location` (type: `string`): Location filter (e.g., Washington, DC). ## `series` (type: `array`): Occupational series codes, e.g. 2210 or 1550. ## `gradeMin` (type: `integer`): Minimum pay grade filter. ## `gradeMax` (type: `integer`): Maximum pay grade filter. ## `payPlan` (type: `array`): USAJOBS PositionScheduleTypeCode values. ## `department` (type: `array`): Organization codes or names. ## `remoteOnly` (type: `boolean`): When true, include only jobs marked remote eligible. ## `clearanceOnly` (type: `boolean`): When true, retain jobs with explicit clearance fields or clearance keyword signals. ## `clearanceKeywords` (type: `array`): Keyword list for clearance signal extraction. ## `postedWithinDays` (type: `integer`): Limit search to jobs posted in the last N days. ## `maxResults` (type: `integer`): Maximum number of result items to return (1-2000). ## `includeExpired` (type: `boolean`): When false, records whose close date has already passed are excluded. ## `usajobsApiKey` (type: `string`): Optional override for USAJOBS\_API\_KEY environment variable. ## `usajobsUserAgent` (type: `string`): Email used when requesting USAJOBS API access. Optional override for USAJOBS\_USER\_AGENT env var. ## Actor input object example ```json { "remoteOnly": false, "clearanceOnly": true, "postedWithinDays": 14, "maxResults": 200, "includeExpired": false } ``` # 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("scrapewizard/usajobs-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("scrapewizard/usajobs-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 scrapewizard/usajobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapewizard/usajobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USAJOBS Clearance & Defense Jobs Monitor", "description": "Track USAJOBS listings with defense and clearance relevance using official API data. Filter by keywords, location, series, grade, remote, and posting age. Returns normalized job records with clearance signals, salary, apply URL, and freshness timestamps.", "version": "0.0", "x-build-id": "cV8QePne4xLNYdpB8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapewizard~usajobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapewizard-usajobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapewizard~usajobs-scraper/runs": { "post": { "operationId": "runs-sync-scrapewizard-usajobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapewizard~usajobs-scraper/run-sync": { "post": { "operationId": "run-sync-scrapewizard-usajobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Keywords", "type": "string", "description": "Free-text keyword filter." }, "location": { "title": "Location", "type": "string", "description": "Location filter (e.g., Washington, DC)." }, "series": { "title": "Job series codes", "type": "array", "description": "Occupational series codes, e.g. 2210 or 1550.", "items": { "type": "string" } }, "gradeMin": { "title": "Minimum grade", "minimum": 1, "maximum": 15, "type": "integer", "description": "Minimum pay grade filter." }, "gradeMax": { "title": "Maximum grade", "minimum": 1, "maximum": 15, "type": "integer", "description": "Maximum pay grade filter." }, "payPlan": { "title": "Pay plan codes", "type": "array", "description": "USAJOBS PositionScheduleTypeCode values.", "items": { "type": "string" } }, "department": { "title": "Department filter", "type": "array", "description": "Organization codes or names.", "items": { "type": "string" } }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "When true, include only jobs marked remote eligible.", "default": false }, "clearanceOnly": { "title": "Clearance focused only", "type": "boolean", "description": "When true, retain jobs with explicit clearance fields or clearance keyword signals.", "default": true }, "clearanceKeywords": { "title": "Clearance keywords", "type": "array", "description": "Keyword list for clearance signal extraction.", "items": { "type": "string" } }, "postedWithinDays": { "title": "Posted within days", "minimum": 1, "maximum": 365, "type": "integer", "description": "Limit search to jobs posted in the last N days.", "default": 14 }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of result items to return (1-2000).", "default": 200 }, "includeExpired": { "title": "Include expired postings", "type": "boolean", "description": "When false, records whose close date has already passed are excluded.", "default": false }, "usajobsApiKey": { "title": "USAJOBS API key (optional override)", "type": "string", "description": "Optional override for USAJOBS_API_KEY environment variable." }, "usajobsUserAgent": { "title": "USAJOBS User-Agent email (optional override)", "type": "string", "description": "Email used when requesting USAJOBS API access. Optional override for USAJOBS_USER_AGENT env var." } } }, "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 } } } } } } } } } } ```