# Public Hiring Signal Monitor (`geneius/public-hiring-signal-monitor`) Actor Turn public job-board, ATS, or career-site job records into account-priority signals, department growth, seniority, and sales-trigger actions. - **URL**: https://apify.com/geneius/public-hiring-signal-monitor.md - **Developed by:** [Gene](https://apify.com/geneius) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Public Hiring Signal Monitor Turn public job-board, ATS, and career-site records into **account-priority signals, department growth, seniority, and sales-trigger actions**. This Actor is built for sales teams, RevOps, recruiters, agencies, and account-based marketing workflows that already collect public job records and need to know what those jobs imply. ### What You Learn - Which department a new role belongs to - Whether a role is senior, executive, manager, mid-level, or entry-level - Whether hiring suggests GTM expansion, leadership change, or general account activity - Which accounts deserve follow-up - What action to take in a sales or recruiting workflow ### Use Cases - Weekly hiring-change alerts for target accounts - Sales-trigger enrichment from public ATS data - RevOps account scoring - Recruiting-market monitoring - Agency account research and prospect prioritization ### Input Provide job records inline or pass an Apify `datasetId` from another job scraper. ```json { "defaultCompany": "Northstar CRM", "jobs": [ { "companyName": "Northstar CRM", "title": "Senior Account Executive", "description": "Help us scale revenue in a new region.", "location": "Remote" } ], "maxJobs": 100 } ```` ### Output Each dataset item is one analyzed hiring signal: ```json { "status": "succeeded", "recordIndex": 1, "billingEventName": "hiring-signal-analyzed", "companyName": "Northstar CRM", "jobTitle": "Senior Account Executive", "department": "sales", "seniority": "senior", "signalType": "expansion_signal", "priorityScore": 95, "remoteHint": true, "accountAction": "Flag Northstar CRM as expanding; enrich the account and monitor adjacent roles this week." } ``` The run also writes a `SUMMARY` key-value-store record with department and signal counts. ### Pricing Default monetization model: pay per event. Recommended chargeable event: - Event name: `hiring-signal-analyzed` - Event meaning: one successfully analyzed public job record - Store price: `$0.025` per analyzed job signal - Pricing activation: scheduled for `2026-05-26T21:05:10Z` Successful rows are pushed only after the charge path allows the event. Run a paid smoke after the scheduled activation time before promoting the listing. ### Limitations - This MVP analyzes job records; it does not scrape LinkedIn, Indeed, or ATS pages directly. - It is intentionally positioned around public job datasets and account-priority signals, not credential-heavy scraping. - Source schemas vary. The Actor recognizes common fields such as `title`, `jobTitle`, `companyName`, `description`, `location`, and `url`. ### Automation And Agent Use - Run a public job scraper first, then pass its dataset ID to this Actor. - Schedule weekly account monitoring for target-account lists. - Send high-priority hiring signals to Slack, a CRM, or a spreadsheet. - Use `department`, `seniority`, `signalType`, and `priorityScore` in downstream account scoring. ### Local Development ```bash python3 -m pip install -r requirements.txt apify run --purge --input-file examples/smoke-input.json ``` # Actor input Schema ## `defaultCompany` (type: `string`): Fallback company/account name when a job record does not include one. ## `jobs` (type: `array`): Optional job records from public job boards, ATS pages, or career-site scrapers. ## `datasetId` (type: `string`): Optional Apify dataset ID containing job records from another Actor. ## `maxJobs` (type: `integer`): Safety cap for analyzed jobs in one run. ## `datasetItemLimit` (type: `integer`): Maximum number of records to load from the source dataset. ## `failOnInvalidRecord` (type: `boolean`): When enabled, the Actor fails on the first invalid job record instead of returning partial error records. ## Actor input object example ```json { "defaultCompany": "Northstar CRM", "jobs": [ { "companyName": "Northstar CRM", "title": "Senior Account Executive", "description": "Help us scale revenue in a new region.", "location": "Remote" } ], "maxJobs": 100, "datasetItemLimit": 100, "failOnInvalidRecord": false } ``` # Actor output Schema ## `results` (type: `string`): Dataset items with one row per public job record, including department, seniority, signal type, priority score, and account action. ## `summary` (type: `string`): Run-level summary with analyzed job count, failures, charge event name, and department/signal counts. # 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 = { "defaultCompany": "Northstar CRM", "jobs": [ { "companyName": "Northstar CRM", "title": "Senior Account Executive", "description": "Help us scale revenue in a new region.", "location": "Remote" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("geneius/public-hiring-signal-monitor").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 = { "defaultCompany": "Northstar CRM", "jobs": [{ "companyName": "Northstar CRM", "title": "Senior Account Executive", "description": "Help us scale revenue in a new region.", "location": "Remote", }], } # Run the Actor and wait for it to finish run = client.actor("geneius/public-hiring-signal-monitor").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 '{ "defaultCompany": "Northstar CRM", "jobs": [ { "companyName": "Northstar CRM", "title": "Senior Account Executive", "description": "Help us scale revenue in a new region.", "location": "Remote" } ] }' | apify call geneius/public-hiring-signal-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=geneius/public-hiring-signal-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Public Hiring Signal Monitor", "description": "Turn public job-board, ATS, or career-site job records into account-priority signals, department growth, seniority, and sales-trigger actions.", "version": "0.1", "x-build-id": "kQyAKeuZqMsGlUuff" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/geneius~public-hiring-signal-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-geneius-public-hiring-signal-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/geneius~public-hiring-signal-monitor/runs": { "post": { "operationId": "runs-sync-geneius-public-hiring-signal-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/geneius~public-hiring-signal-monitor/run-sync": { "post": { "operationId": "run-sync-geneius-public-hiring-signal-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "defaultCompany": { "title": "Default company", "type": "string", "description": "Fallback company/account name when a job record does not include one." }, "jobs": { "title": "Inline job records", "minItems": 1, "type": "array", "description": "Optional job records from public job boards, ATS pages, or career-site scrapers." }, "datasetId": { "title": "Source dataset ID", "minLength": 1, "type": "string", "description": "Optional Apify dataset ID containing job records from another Actor." }, "maxJobs": { "title": "Maximum jobs", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Safety cap for analyzed jobs in one run.", "default": 100 }, "datasetItemLimit": { "title": "Dataset item limit", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of records to load from the source dataset.", "default": 100 }, "failOnInvalidRecord": { "title": "Fail on invalid record", "type": "boolean", "description": "When enabled, the Actor fails on the first invalid job record instead of returning partial error records.", "default": false } } }, "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 } } } } } } } } } } ```