# Public Job Board Change Monitor (`eager_vitamin/my-actor`) Actor Monitor public career pages for job-level additions and removals without logging in or scraping private accounts. - **URL**: https://apify.com/eager\_vitamin/my-actor.md - **Developed by:** [Lau Kuan Ee](https://apify.com/eager_vitamin) (community) - **Categories:** Jobs - **Stats:** 1 total users, 0 monthly users, 0.0% 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 ## Public Job Board Change Monitor Actor Status: local MVP ready for Apify packaging review. This Apify-style actor extracts likely job listing links from public career pages and compares them against a previous job snapshot. It emits normalized job records plus `new`, `unchanged`, and `removed` change records. ### Safe Use Boundary - Public career pages and public job board result pages only. - No account login, private workspace access, CAPTCHA handling, MFA, or evasion. - No hidden API abuse or high-frequency polling. - Buyers are responsible for using it only where public monitoring is allowed. ### Input ```json { "pages": [ { "url": "https://example.com/jobs", "previous_jobs": [ { "title": "Data Engineer", "url": "https://example.com/jobs/data-engineer", "signature": "data-engineer|https://example.com/jobs/data-engineer" } ] } ] } ```` For offline demos or controlled tests, each page can include an `html` string. ### Output The local CLI returns a summary object: - `pages[].jobs`: current normalized job listings. - `pages[].changes`: change records with `change_type` of `new`, `unchanged`, or `removed`. - `pages[].stats`: link count and dedupe stats. The Apify-compatible `main.py` writes JSONL dataset records with `record_type` of `job` or `change`. ### Local Commands ```powershell C:\Users\lauku\.cache\codex-runtimes\codex-primary-runtime\dependencies\python\python.exe -m unittest discover -s tests -v C:\Users\lauku\.cache\codex-runtimes\codex-primary-runtime\dependencies\python\python.exe .\job_board_monitor.py --input .\samples\input.json --out .\samples\output.json C:\Users\lauku\.cache\codex-runtimes\codex-primary-runtime\dependencies\python\python.exe .\main.py ``` ### Differentiator Most basic job scrapers focus on one vendor or only dump listings. This actor is deliberately generic for public pages and change-oriented: it returns stable signatures and removed-listing detection so it can feed alerts, applicant tracking research, or market monitoring workflows without private account access. # Actor input Schema ## `pages` (type: `array`): Public career pages or job board result pages to inspect. Do not provide login-only or private URLs. ## Actor input object example ```json { "pages": [ { "url": "https://example.com/jobs" } ] } ``` # Actor output Schema ## `results` (type: `string`): Default dataset records produced by the actor. # 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 = { "pages": [ { "url": "https://example.com/jobs" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("eager_vitamin/my-actor").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 = { "pages": [{ "url": "https://example.com/jobs" }] } # Run the Actor and wait for it to finish run = client.actor("eager_vitamin/my-actor").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 '{ "pages": [ { "url": "https://example.com/jobs" } ] }' | apify call eager_vitamin/my-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=eager_vitamin/my-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Public Job Board Change Monitor", "description": "Monitor public career pages for job-level additions and removals without logging in or scraping private accounts.", "version": "0.0", "x-build-id": "RqUZbGQjH4xpvAZDS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/eager_vitamin~my-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-eager_vitamin-my-actor", "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/eager_vitamin~my-actor/runs": { "post": { "operationId": "runs-sync-eager_vitamin-my-actor", "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/eager_vitamin~my-actor/run-sync": { "post": { "operationId": "run-sync-eager_vitamin-my-actor", "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": [ "pages" ], "properties": { "pages": { "title": "Public job pages", "type": "array", "description": "Public career pages or job board result pages to inspect. Do not provide login-only or private URLs.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "title": "Page URL", "type": "string", "description": "Public career or job-board page URL." }, "html": { "title": "Optional HTML", "type": "string", "description": "Optional saved HTML for offline tests or controlled runs.", "editor": "textarea" }, "previous_jobs": { "title": "Previous jobs", "type": "array", "description": "Optional previous job records with title, url, and signature fields for change detection.", "editor": "json" } } } } } }, "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 } } } } } } } } } } ```