# ClearanceJobs Scraper (`scrapewizard/clearancejobs-scraper`) Actor 🔐 ClearanceJobs scraper — cleared U.S. jobs into structured JSON/CSV. Filter by clearance, location, keywords, remote, and job type. Includes salary, description, skills, and travel when the site lists them. Built for recruiters and GovCon BD teams. - **URL**: https://apify.com/scrapewizard/clearancejobs-scraper.md - **Developed by:** [ScrapeWizard](https://apify.com/scrapewizard) (community) - **Categories:** Jobs, Developer tools, Social media - **Stats:** 1 total users, 0 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 ## ClearanceJobs Scraper - Security Cleared Job Listings Scrape security-cleared job listings from ClearanceJobs.com and export structured data in JSON/CSV. This actor is built for recruiters, talent intelligence teams, GovCon BD teams, and researchers who need filtered cleared-job data at scale. ### What this actor does - Searches ClearanceJobs listings by keyword - Supports filtering by: - clearance level - location (city/state) - remote only - job type - Paginates results until `maxResults` is reached - Optionally opens job detail pages to enrich records - Returns normalized structured output fields ### Input ```json { "keywords": "systems engineer", "location": "Virginia", "clearanceLevel": "TS/SCI", "remoteOnly": false, "maxResults": 50, "jobType": "Any", "fetchJobDetails": true } ```` #### Input fields - `keywords` (string, required): search query - `location` (string, optional): - City format: `"San Diego, CA"` maps to city filter - State format: `"Virginia"` or `"VA"` maps to state filter - `clearanceLevel` (enum, optional, default `Any`): - `Any`, `Secret`, `Top Secret`, `TS/SCI`, `TS/SCI Poly` - `remoteOnly` (boolean, default `false`): applies remote filter - `maxResults` (integer, default `50`, max `500`) - `jobType` (enum, default `Any`): - `Any`, `Full Time`, `Part Time`, `Contract`, `Internship` - `fetchJobDetails` (boolean, default `true`): - when enabled, actor fetches detail pages for salary, full description, travel, and other enriched fields ### Output Each dataset item contains: - `jobTitle` - `company` - `location` - `remoteAvailable` - `clearanceLevel` - `polygraphRequired` - `salary` - `jobType` - `postedDate` - `description` (truncated to 1000 chars) - `jobUrl` - `applyUrl` (empty if no stable public apply URL is available) - `requiredSkills` (heuristic extraction) - `travel` Example record: ```json { "jobTitle": "Systems Engineer", "company": "Example Company", "location": "Chantilly, VA (On-Site/Office)", "remoteAvailable": false, "clearanceLevel": "TS/SCI", "polygraphRequired": true, "salary": "$125,000 - $150,000", "jobType": "Employee", "postedDate": "2026-04-14T02:26:32-05:00", "description": "Truncated description text...", "jobUrl": "https://www.clearancejobs.com/jobs/1234567/systems-engineer", "applyUrl": "", "requiredSkills": ["kubernetes", "docker", "ci/cd"], "travel": "No Traveling" } ``` ### Pay Per Event (PPE) This actor emits these events: - `apify-actor-start` (once per run) - `result-scraped` (after each pushed job result) Configure pricing for these events in the actor monetization settings. ### Notes and limitations - Some listings do not expose salary, travel, or job type in a consistent way. Those fields may be empty. - `applyUrl` is often unavailable because many jobs use on-platform/email/login apply flows. - `Part Time` does not have a dedicated ClearanceJobs facet; actor runs without a strict type filter in that case. - Site structure can change over time. If extraction quality drops, update parsing rules. ### Local development Install and run: ```bash python3.11 -m venv .venv source .venv/bin/activate pip install -r requirements.txt PATH="$(pwd)/.venv/bin:$PATH" npx apify-cli run --input '{"keywords":"systems engineer","maxResults":10}' ``` ### Changelog guidance When updating this actor, prioritize: - parser stability - output quality normalization - clear input/output schema compatibility # Actor input Schema ## `keywords` (type: `string`): Job search keywords, e.g. software engineer or systems engineer. ## `location` (type: `string`): Optional. Use 'City, ST' (e.g. San Diego, CA) for a city filter, or a US state name / two-letter code (e.g. Virginia or VA) for state. ## `clearanceLevel` (type: `string`): Filter by minimum clearance facet on ClearanceJobs. TS/SCI Poly maps to TS/SCI + full-scope polygraph filter (approximate). ## `remoteOnly` (type: `boolean`): When true, only remote listings (ClearanceJobs remote=1). ## `maxResults` (type: `integer`): Maximum number of job records to scrape (1–500). ## `jobType` (type: `string`): Employment type filter. Part Time is not a separate facet on the site; that option searches without a type filter. ## `fetchJobDetails` (type: `boolean`): When true (default), one extra HTTP GET per job for salary, full description (up to 1000 chars), job type, travel, and refined posted date. Disable for faster runs with list-card fields only. ## Actor input object example ```json { "location": "Virginia", "clearanceLevel": "Any", "remoteOnly": false, "maxResults": 50, "jobType": "Any", "fetchJobDetails": true } ``` # 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 = { "location": "Virginia" }; // Run the Actor and wait for it to finish const run = await client.actor("scrapewizard/clearancejobs-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 = { "location": "Virginia" } # Run the Actor and wait for it to finish run = client.actor("scrapewizard/clearancejobs-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 '{ "location": "Virginia" }' | apify call scrapewizard/clearancejobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapewizard/clearancejobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ClearanceJobs Scraper", "description": "🔐 ClearanceJobs scraper — cleared U.S. jobs into structured JSON/CSV. Filter by clearance, location, keywords, remote, and job type. Includes salary, description, skills, and travel when the site lists them. Built for recruiters and GovCon BD teams.", "version": "0.0", "x-build-id": "nSyzLQnZx73UyBGGb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapewizard~clearancejobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapewizard-clearancejobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapewizard~clearancejobs-scraper/runs": { "post": { "operationId": "runs-sync-scrapewizard-clearancejobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapewizard~clearancejobs-scraper/run-sync": { "post": { "operationId": "run-sync-scrapewizard-clearancejobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "minLength": 2, "type": "string", "description": "Job search keywords, e.g. software engineer or systems engineer." }, "location": { "title": "Location", "type": "string", "description": "Optional. Use 'City, ST' (e.g. San Diego, CA) for a city filter, or a US state name / two-letter code (e.g. Virginia or VA) for state." }, "clearanceLevel": { "title": "Clearance level", "enum": [ "Any", "Secret", "Top Secret", "TS/SCI", "TS/SCI Poly" ], "type": "string", "description": "Filter by minimum clearance facet on ClearanceJobs. TS/SCI Poly maps to TS/SCI + full-scope polygraph filter (approximate).", "default": "Any" }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "When true, only remote listings (ClearanceJobs remote=1).", "default": false }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of job records to scrape (1–500).", "default": 50 }, "jobType": { "title": "Job type", "enum": [ "Any", "Full Time", "Part Time", "Contract", "Internship" ], "type": "string", "description": "Employment type filter. Part Time is not a separate facet on the site; that option searches without a type filter.", "default": "Any" }, "fetchJobDetails": { "title": "Fetch job detail pages", "type": "boolean", "description": "When true (default), one extra HTTP GET per job for salary, full description (up to 1000 chars), job type, travel, and refined posted date. Disable for faster runs with list-card fields only.", "default": true } } }, "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 } } } } } } } } } } ```