# Career Value Analyzer - Job Outlook & Salary Data (`ntriqpro/job-market-intelligence`) Actor Research any job: see salary trends, demand outlook, and career growth potential before choosing your path. - **URL**: https://apify.com/ntriqpro/job-market-intelligence.md - **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community) - **Categories:** Business, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $50.00 / 1,000 job analyses 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 ## Job Market Intelligence — Career Value & Outlook Scorer **Research any job title for salary trends, demand outlook, and career growth potential before committing to a path.** This actor analyzes any US job title using O*NET and BLS public data, returning a structured 0–100 career value score with wage percentiles, demand signals, and growth projections. --- ### Why use this actor - **Real BLS wage data** — not scraped listings, but official employment statistics - **10-year outlook** — projected growth (%) and demand direction (rising/stable/declining) - **Career value score (0–100)** — composite of pay, demand, stability, and growth - **O*NET skills & tasks** — know what the job actually requires - **One call, one answer** — no stitching together 5 government APIs --- ### Input ```json { "jobTitle": "Software Developer" } ```` | Field | Type | Required | Description | |-------|------|----------|-------------| | `jobTitle` | string | ✅ | Job title to analyze (e.g., "Software Developer", "Registered Nurse", "Financial Analyst") | *** ### Output ```json { "jobTitle": "Software Developer", "careerValueScore": 84, "salary": { "median": 130160, "p10": 78790, "p25": 99600, "p75": 165430, "p90": 198100, "currency": "USD" }, "outlook": { "growthPercent": 17.9, "direction": "much_faster_than_average", "projectionPeriod": "2023-2033", "employment2023": 1692100, "employment2033": 1995450 }, "skills": ["Programming", "Systems analysis", "Critical thinking"], "tasks": ["Design and develop software", "Analyze user needs", "Test and maintain applications"], "sources": [ { "name": "US Bureau of Labor Statistics (BLS)", "url": "https://www.bls.gov/", "license": "Public Domain" }, { "name": "O*NET OnLine", "url": "https://www.onetonline.org/", "license": "CC-BY 4.0" } ] } ``` *** ### Pricing - **$0.05 per job analyzed** (Pay-Per-Event) - No subscription, no monthly fee. Pay only for what you analyze. *** ### Data Sources | Source | Use | License | |--------|-----|---------| | US Bureau of Labor Statistics (BLS) | Wage percentiles, employment, 10-year outlook | Public Domain (17 U.S.C. § 105) | | O\*NET OnLine | Skills, tasks, knowledge, work styles | CC-BY 4.0 | All data is publicly available US government or CC-licensed. *** ### Career Value Score Formula | Signal | Weight | Source | |--------|--------|--------| | Median salary (vs national median) | 30 | BLS OES | | Projected growth % (10-year) | 25 | BLS Employment Projections | | Employment size (stability proxy) | 20 | BLS OES | | Salary range (p90/p10) — upside | 15 | BLS OES | | Skill requirement clarity | 10 | O\*NET | Score 80+ = Excellent (strong pay + growth + stability) Score 60–79 = Good (one or two dimensions weaker) Score <60 = Caution (declining demand, low pay, or unstable) *** ### Use Cases - **Career coaches**: Brief clients with data, not opinion — "here's what the BLS actually projects for this role" - **Students & career switchers**: Compare 5 roles side-by-side before committing to a degree or bootcamp - **HR & recruiters**: Benchmark compensation bands against true market percentiles - **Policy & education researchers**: Analyze regional workforce gaps by occupation *** ### Disclaimer Data reflects US market only. Projections are point-in-time estimates from BLS — actual outcomes may vary. This actor does not provide individual career advice; consult a licensed professional for personal decisions. *** ### 🔗 Related Actors by ntriqpro Build a complete US economic & career intelligence stack: - [**us-labor-market-intelligence**](https://apify.com/ntriqpro/us-labor-market-intelligence) — State-level employment, wages, and labor health score - [**us-state-fiscal-health**](https://apify.com/ntriqpro/us-state-fiscal-health) — State fiscal stress indicators for regional job stability - [**company-due-diligence-intelligence**](https://apify.com/ntriqpro/company-due-diligence-intelligence) — Vet specific employers before accepting an offer ### ⭐ Love it? Leave a Review Your rating helps career coaches, students, and HR teams discover this actor. [Rate it here](https://apify.com/ntriqpro/job-market-intelligence/reviews). *** **Author:** NtriqPRO **License:** ISC **Last Updated:** 2026-04-19 # Actor input Schema ## `jobTitle` (type: `string`): Job title to analyze (e.g., 'Software Developer', 'Nurse', 'Accountant') ## Actor input object example ```json { "jobTitle": "Software Developer" } ``` # 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 = { "jobTitle": "Software Developer" }; // Run the Actor and wait for it to finish const run = await client.actor("ntriqpro/job-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 = { "jobTitle": "Software Developer" } # Run the Actor and wait for it to finish run = client.actor("ntriqpro/job-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 '{ "jobTitle": "Software Developer" }' | apify call ntriqpro/job-market-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ntriqpro/job-market-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Career Value Analyzer - Job Outlook & Salary Data", "description": "Research any job: see salary trends, demand outlook, and career growth potential before choosing your path.", "version": "1.0", "x-build-id": "AKPhUKZSirixEJIdm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ntriqpro~job-market-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ntriqpro-job-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ntriqpro~job-market-intelligence/runs": { "post": { "operationId": "runs-sync-ntriqpro-job-market-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ntriqpro~job-market-intelligence/run-sync": { "post": { "operationId": "run-sync-ntriqpro-job-market-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "jobTitle": { "title": "Job Title", "type": "string", "description": "Job title to analyze (e.g., 'Software Developer', 'Nurse', 'Accountant')" } } }, "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 } } } } } } } } } } ```