# Company Career Pages Job Monitor (`knotted_tussock/company-career-pages-job-monitor`) Actor Monitor company career pages and ATS boards for new, removed, and changed jobs. Built for job seekers, recruiters, sales teams, and hiring-signal research. - **URL**: https://apify.com/knotted\_tussock/company-career-pages-job-monitor.md - **Developed by:** [Ralph T](https://apify.com/knotted_tussock) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 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 ## Company Career Pages Job Monitor Monitor company career pages and ATS boards for job postings, hiring signals, and changes. ### Use cases - Job seekers tracking target companies. - Recruiters and career coaches monitoring openings. - Sales teams using hiring as a buying-signal. - Market researchers tracking company growth by department/location. ### What it extracts - Job title, company, location, remote/hybrid hints, apply URL. - Matched keywords and lead/job score. - Change type: `new`, `unchanged`, or `changed` when previous records are provided. - Flags for internships, staffing/recruiter language, seniority, and remote signals. ### Quick start ```json { "careerUrls": [{ "url": "https://www.apify.com/careers" }], "keywords": ["engineer", "developer", "data", "ai"], "locations": ["remote"], "remoteOnly": false, "maxPages": 5 } ```` ### Notes This Actor is designed for public career pages and ATS boards. It does not log in, bypass paywalls, or submit applications. For high-volume LinkedIn/Indeed scraping, use dedicated Apify Store Actors; this tool focuses on company-owned career pages and change monitoring. # Actor input Schema ## `careerUrls` (type: `array`): Company career pages or ATS board URLs to scan. ## `keywords` (type: `array`): Required/boost keywords. If requireKeywordMatch is enabled, only matching jobs are exported. ## `locations` (type: `array`): Optional location words to include or boost, such as remote, United States, London, or New York. ## `excludeKeywords` (type: `array`): Jobs containing these words are filtered or heavily penalized. ## `requireKeywordMatch` (type: `boolean`): When enabled, only export jobs that match at least one keyword. ## `remoteOnly` (type: `boolean`): When enabled, only export jobs with remote/work-from-home signals. ## `previousJobs` (type: `array`): Optional prior job records from an earlier run. ## `maxPages` (type: `integer`): Maximum number of career/detail pages to scan. ## `maxJobsPerPage` (type: `integer`): Maximum candidate jobs to extract from each scanned page. ## `followJobLinks` (type: `boolean`): Follow likely job, career, opening, and ATS links found on the supplied pages. ## Actor input object example ```json { "careerUrls": [ { "url": "https://www.apify.com/careers" } ], "keywords": [ "engineer", "developer", "data", "ai" ], "locations": [ "remote" ], "excludeKeywords": [ "staffing agency", "recruiter" ], "requireKeywordMatch": false, "remoteOnly": false, "previousJobs": [], "maxPages": 10, "maxJobsPerPage": 100, "followJobLinks": true } ``` # Actor output Schema ## `results` (type: `string`): Extracted job records in the default dataset. ## `summary` (type: `string`): Summary JSON with pages scanned, jobs exported, and change 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 = { "careerUrls": [ { "url": "https://www.apify.com/careers" } ], "keywords": [ "engineer", "developer", "data", "ai" ], "locations": [ "remote" ], "excludeKeywords": [ "staffing agency", "recruiter" ] }; // Run the Actor and wait for it to finish const run = await client.actor("knotted_tussock/company-career-pages-job-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 = { "careerUrls": [{ "url": "https://www.apify.com/careers" }], "keywords": [ "engineer", "developer", "data", "ai", ], "locations": ["remote"], "excludeKeywords": [ "staffing agency", "recruiter", ], } # Run the Actor and wait for it to finish run = client.actor("knotted_tussock/company-career-pages-job-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 '{ "careerUrls": [ { "url": "https://www.apify.com/careers" } ], "keywords": [ "engineer", "developer", "data", "ai" ], "locations": [ "remote" ], "excludeKeywords": [ "staffing agency", "recruiter" ] }' | apify call knotted_tussock/company-career-pages-job-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=knotted_tussock/company-career-pages-job-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Career Pages Job Monitor", "description": "Monitor company career pages and ATS boards for new, removed, and changed jobs. Built for job seekers, recruiters, sales teams, and hiring-signal research.", "version": "0.1", "x-build-id": "WOLrYdBALsnBdqdGO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/knotted_tussock~company-career-pages-job-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-knotted_tussock-company-career-pages-job-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/knotted_tussock~company-career-pages-job-monitor/runs": { "post": { "operationId": "runs-sync-knotted_tussock-company-career-pages-job-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/knotted_tussock~company-career-pages-job-monitor/run-sync": { "post": { "operationId": "run-sync-knotted_tussock-company-career-pages-job-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", "required": [ "careerUrls" ], "properties": { "careerUrls": { "title": "Career page URLs", "type": "array", "description": "Company career pages or ATS board URLs to scan.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "keywords": { "title": "Keywords", "type": "array", "description": "Required/boost keywords. If requireKeywordMatch is enabled, only matching jobs are exported.", "items": { "type": "string" } }, "locations": { "title": "Location filters", "type": "array", "description": "Optional location words to include or boost, such as remote, United States, London, or New York.", "items": { "type": "string" } }, "excludeKeywords": { "title": "Exclude keywords", "type": "array", "description": "Jobs containing these words are filtered or heavily penalized.", "items": { "type": "string" } }, "requireKeywordMatch": { "title": "Require keyword match", "type": "boolean", "description": "When enabled, only export jobs that match at least one keyword.", "default": false }, "remoteOnly": { "title": "Remote jobs only", "type": "boolean", "description": "When enabled, only export jobs with remote/work-from-home signals.", "default": false }, "previousJobs": { "title": "Previous jobs for change detection", "type": "array", "description": "Optional prior job records from an earlier run.", "default": [] }, "maxPages": { "title": "Max pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of career/detail pages to scan.", "default": 10 }, "maxJobsPerPage": { "title": "Max jobs per page", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum candidate jobs to extract from each scanned page.", "default": 100 }, "followJobLinks": { "title": "Follow likely job/detail links", "type": "boolean", "description": "Follow likely job, career, opening, and ATS links found on the supplied pages.", "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 } } } } } } } } } } ```