# USAJOBS Scraper (`jungle_synthesizer/usajobs-scraper`) Actor Scrape federal job listings from USAJOBS.gov. Search by keyword, location, agency, salary, GS grade, work schedule, remote/telework, and hiring path. Extracts title, agency, department, location, salary, grade, open/close dates, and job URL. - **URL**: https://apify.com/jungle\_synthesizer/usajobs-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Scraper Scrape federal job listings from [USAJOBS.gov](https://www.usajobs.gov) — the official U.S. government employment portal. Search by keyword, location, agency, department, salary range, GS grade, work schedule, remote/telework status, and hiring path. ### What it does The actor queries the USAJOBS internal search API to retrieve structured job listing data. No authentication is required — the actor uses standard browser headers to access the same data the USAJOBS website shows in its search results. For each job posting, the actor extracts: - **Job identification**: Document ID, position ID, direct URL - **Position details**: Title, agency, department, sub-agency - **Location**: Primary duty location, number of duty locations - **Compensation**: Salary display string, minimum salary amount - **Work details**: Schedule type, appointment type (permanent/temporary/intern) - **Grade**: Pay grade system (GS, FV, ND), grade range - **Eligibility**: Comma-separated hiring paths (public, veterans, current federal employees, etc.) - **Occupational series**: OPM job category codes and names - **Dates**: Open date, close date, human-readable date display - **Benefits**: Relocation indicator ### Input | Field | Type | Description | |-------|------|-------------| | `keyword` | string | Job title, occupation, or keyword (required; e.g. "software engineer", "nurse") | | `location` | string | City, state, or "remote" to filter by duty location | | `agency` | string | Federal agency to filter (e.g. "Department of Defense") | | `department` | string | Department code to filter (e.g. "DD" for Defense) | | `remoteOnly` | boolean | Return only remote/telework positions | | `salaryMin` | integer | Minimum annual salary in USD | | `salaryMax` | integer | Maximum annual salary in USD | | `gradeBucket` | string | GS grade range filter (e.g. "GS13_15") | | `hiringPath` | string | Eligibility filter (e.g. "public", "fed-competitive", "vet") | | `sortField` | string | Sort by: OpenDate (default), CloseDate, Salary, JobTitle | | `sortDirection` | string | Desc (default) or Asc | | `maxItems` | integer | Maximum number of results (0 = all, default 15) | At least one of `keyword`, `location`, `agency`, or `department` is required. ### Output Each result is a flat JSON object. Example: ```json { "jobId": "871388500", "positionId": "DFAS-ML-12970137-26", "title": "TECHNICAL SOFTWARE ENGINEERING LEAD", "agency": "Defense Finance and Accounting Service", "department": "Department of Defense", "subAgency": "IT DIR OFFICE, ACCOUNTING SERVICES...", "location": "Indianapolis, Indiana", "locationCount": 3, "salaryDisplay": "Starting at $107,428 Per year (GS 13)", "salaryMin": 107428, "workSchedule": "Full-time", "workType": "Permanent", "jobGrade": "GS", "lowGrade": "13", "highGrade": "13", "hiringPaths": "fed-internal-search", "jobCategories": "2210 - Information Technology Management", "openDate": "", "closeDate": "2026-06-18T23:59:59.997Z", "dateDisplay": "Open 06/04/2026 to 06/18/2026", "relocation": "True", "jobUrl": "https://www.usajobs.gov/job/871388500", "scrapedAt": "2026-06-04T16:28:37.753Z" } ```` ### Notes - USAJOBS.gov is operated by the U.S. Office of Personnel Management (OPM). Data is public and freely accessible. - Results reflect open job announcements at scrape time. Closed announcements are not returned. - The `hiringPaths` field controls eligibility: "public" = any U.S. citizen; "fed-competitive" = current federal employee; "vet" = veterans' preference eligible. - GS grades 1-15 are the General Schedule; "ES" = Senior Executive Service; "FV" (FAA) and "ND" (Naval Sea Systems) are agency-specific pay systems. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `keyword` (type: `string`): Job title, occupation, or keyword to search for (e.g. "software engineer", "nurse", "analyst") ## `location` (type: `string`): City, state, or "remote" to filter by location ## `agency` (type: `string`): Federal agency code or name to filter (e.g. "Department of Defense") ## `department` (type: `string`): Department code to filter (e.g. "DD" for Department of Defense) ## `remoteOnly` (type: `boolean`): If true, only return remote/telework positions ## `salaryMin` (type: `integer`): Minimum annual salary in USD ## `salaryMax` (type: `integer`): Maximum annual salary in USD ## `gradeBucket` (type: `string`): Grade range filter (e.g. "GS13\_15" for senior grades) ## `hiringPath` (type: `string`): Who may apply (e.g. "public", "fed-competitive", "vet") ## `sortField` (type: `string`): Field to sort results by (e.g. "OpenDate", "CloseDate", "Salary", "JobTitle") ## `sortDirection` (type: `string`): Sort direction — ascending or descending ## `maxItems` (type: `integer`): Maximum number of job listings to scrape (0 = no limit) ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keyword": "software engineer", "sortField": "OpenDate", "sortDirection": "Desc", "maxItems": 10 } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keyword": "software engineer", "location": "", "agency": "", "department": "", "remoteOnly": false, "salaryMin": 0, "salaryMax": 0, "gradeBucket": "", "hiringPath": "", "sortField": "OpenDate", "sortDirection": "Desc", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keyword": "software engineer", "location": "", "agency": "", "department": "", "remoteOnly": False, "salaryMin": 0, "salaryMax": 0, "gradeBucket": "", "hiringPath": "", "sortField": "OpenDate", "sortDirection": "Desc", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "keyword": "software engineer", "location": "", "agency": "", "department": "", "remoteOnly": false, "salaryMin": 0, "salaryMax": 0, "gradeBucket": "", "hiringPath": "", "sortField": "OpenDate", "sortDirection": "Desc", "maxItems": 10 }' | apify call jungle_synthesizer/usajobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/usajobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USAJOBS Scraper", "description": "Scrape federal job listings from USAJOBS.gov. Search by keyword, location, agency, salary, GS grade, work schedule, remote/telework, and hiring path. Extracts title, agency, department, location, salary, grade, open/close dates, and job URL.", "version": "0.1", "x-build-id": "IxEUNBfHl263cAyFQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~usajobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~usajobs-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-usajobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~usajobs-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-usajobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keyword" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "keyword": { "title": "Search Keyword", "type": "string", "description": "Job title, occupation, or keyword to search for (e.g. \"software engineer\", \"nurse\", \"analyst\")" }, "location": { "title": "Location", "type": "string", "description": "City, state, or \"remote\" to filter by location" }, "agency": { "title": "Agency", "type": "string", "description": "Federal agency code or name to filter (e.g. \"Department of Defense\")" }, "department": { "title": "Department", "type": "string", "description": "Department code to filter (e.g. \"DD\" for Department of Defense)" }, "remoteOnly": { "title": "Remote Only", "type": "boolean", "description": "If true, only return remote/telework positions" }, "salaryMin": { "title": "Minimum Salary", "type": "integer", "description": "Minimum annual salary in USD" }, "salaryMax": { "title": "Maximum Salary", "type": "integer", "description": "Maximum annual salary in USD" }, "gradeBucket": { "title": "GS Grade Bucket", "type": "string", "description": "Grade range filter (e.g. \"GS13_15\" for senior grades)" }, "hiringPath": { "title": "Hiring Path", "type": "string", "description": "Who may apply (e.g. \"public\", \"fed-competitive\", \"vet\")" }, "sortField": { "title": "Sort Field", "enum": [ "OpenDate", "CloseDate", "Salary", "JobTitle" ], "type": "string", "description": "Field to sort results by (e.g. \"OpenDate\", \"CloseDate\", \"Salary\", \"JobTitle\")" }, "sortDirection": { "title": "Sort Direction", "enum": [ "Desc", "Asc" ], "type": "string", "description": "Sort direction — ascending or descending" }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of job listings to scrape (0 = no limit)", "default": 15 } } }, "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 } } } } } } } } } } ```