# Company Career Page & ATS Jobs API (`subimpact/ats-jobs-api`) Actor Get live job postings straight from company career pages — Greenhouse, Lever, Ashby, Workday, SmartRecruiters — normalized into one schema, with new-job monitoring for HR-tech, VCs, and AI agents. - **URL**: https://apify.com/subimpact/ats-jobs-api.md - **Developed by:** [subimpact](https://apify.com/subimpact) (community) - **Categories:** AI, Lead generation, Jobs - **Stats:** 4 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 job scrapeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Page & ATS Jobs API Get job postings **straight from the source** — company career pages and ATS boards — normalized into one clean schema. No LinkedIn/Indeed middlemen, no stale aggregator data. Built for HR-tech, talent intelligence, VC deal sourcing, and AI agents. ### Supported platforms | ATS | Example URL | Notes | |---|---|---| | **Greenhouse** | `https://boards.greenhouse.io/anthropic` | Thousands of tech companies | | **Ashby** | `https://jobs.ashbyhq.com/OpenAI` | Fast-growing startup standard | | **Workday** | `https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite` | Enterprise / Fortune 500 | | **Lever** | `https://jobs.lever.co/{company}` | Tech mid-market | | **SmartRecruiters** | `https://careers.smartrecruiters.com/BoschGroup` | Enterprise EU/US | Just paste the careers URL — the Actor detects the ATS automatically. ### Why career-page data beats job boards - **First-party and complete**: every opening the company publishes, days before aggregators pick it up - **Company-centric**: pass a list of target companies (competitors, portfolio companies, prospects) and get their full hiring picture - **Monitoring built in**: scheduled runs detect new postings — feed them to Slack, your CRM, or an AI agent via webhook ### Input | Field | Type | Default | Description | |---|---|---|---| | `companies` | array | *(required)* | Careers page URLs (or `{url, label}` objects) | | `includeDescription` | boolean | `false` | Fetch full job description text + HTML | | `maxJobsPerCompany` | integer | `0` | Cap jobs per company (0 = unlimited) | | `onlyNewJobs` | boolean | `false` | Monitoring mode: output only jobs not seen in previous runs | | `stateStoreName` | string | `ats-jobs-state` | Where seen-job state persists between runs | ### Output (one item per job) ```json { "company": "Anthropic", "ats": "greenhouse", "jobId": "5274711008", "title": "Account Executive, Nonprofits & Higher Education - APAC", "location": "Sydney, Australia", "department": "Sales", "employmentType": "Full-time", "workplaceType": null, "url": "https://job-boards.greenhouse.io/anthropic/jobs/5274711008", "applyUrl": "https://job-boards.greenhouse.io/anthropic/jobs/5274711008", "postedAt": "2026-06-15T00:00:00.000Z", "descriptionText": "...(if enabled)", "firstSeenAt": "2026-07-20T...", "isNew": true, "scrapedAt": "2026-07-20T..." } ```` ### Pricing (pay per event) - **Job scraped**: $0.004 per job returned - **Company monitored**: $0.02 per company processed (includes state tracking) A typical monitoring run — 50 companies, ~2,000 jobs — costs ~$9 first run, then near-zero until new postings appear (only new jobs are charged with monitoring mode on... see note below). > **Note**: with `onlyNewJobs: true`, only newly posted jobs are pushed and charged — recurring weekly runs stay cheap. ### Integrations - **API**: call via Apify API, get JSON/CSV/Excel - **Webhooks**: on run finish → push new jobs to Slack, Make, n8n, Zapier - **Schedules**: weekly/daily monitoring out of the box - **MCP**: works as a tool for AI agents via the Apify MCP server ### Use cases - Track competitor hiring (departments, locations, seniority) - Talent-intelligence and HR-tech data feeds - VC/investor signals: headcount growth, new offices, hiring freezes - Job-board backfill with first-party employer data - Sales triggers: companies hiring for a role = budget for adjacent tools # Actor input Schema ## `companies` (type: `array`): Careers page or ATS board URLs to scrape, e.g. https://boards.greenhouse.io/anthropic, https://jobs.ashbyhq.com/OpenAI, https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite ## `includeDescription` (type: `boolean`): Fetch full description text/HTML for each job. Slower and uses more requests, especially on Workday and Ashby. ## `maxJobsPerCompany` (type: `integer`): Cap the number of jobs collected per company. 0 = no limit. ## `onlyNewJobs` (type: `boolean`): Output only jobs not seen in previous runs (state persists across runs). Ideal for scheduled runs with a webhook to Slack/CRM. ## `stateStoreName` (type: `string`): Named key-value store used to remember previously seen jobs. ## Actor input object example ```json { "companies": [ "https://boards.greenhouse.io/anthropic", "https://jobs.ashbyhq.com/OpenAI" ], "includeDescription": false, "maxJobsPerCompany": 0, "onlyNewJobs": false, "stateStoreName": "ats-jobs-state" } ``` # Actor output Schema ## `jobs` (type: `string`): One dataset item per job posting: title, company, location, department, employment type, URLs, posted date, optional full description, and monitoring flags (isNew, firstSeenAt). # 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 = { "companies": [ "https://boards.greenhouse.io/anthropic", "https://jobs.ashbyhq.com/OpenAI" ] }; // Run the Actor and wait for it to finish const run = await client.actor("subimpact/ats-jobs-api").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 = { "companies": [ "https://boards.greenhouse.io/anthropic", "https://jobs.ashbyhq.com/OpenAI", ] } # Run the Actor and wait for it to finish run = client.actor("subimpact/ats-jobs-api").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 '{ "companies": [ "https://boards.greenhouse.io/anthropic", "https://jobs.ashbyhq.com/OpenAI" ] }' | apify call subimpact/ats-jobs-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=subimpact/ats-jobs-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Career Page & ATS Jobs API", "description": "Get live job postings straight from company career pages — Greenhouse, Lever, Ashby, Workday, SmartRecruiters — normalized into one schema, with new-job monitoring for HR-tech, VCs, and AI agents.", "version": "0.1", "x-build-id": "hL0cUb4pp6d1In4he" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/subimpact~ats-jobs-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-subimpact-ats-jobs-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/subimpact~ats-jobs-api/runs": { "post": { "operationId": "runs-sync-subimpact-ats-jobs-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/subimpact~ats-jobs-api/run-sync": { "post": { "operationId": "run-sync-subimpact-ats-jobs-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companies" ], "properties": { "companies": { "title": "Companies", "type": "array", "description": "Careers page or ATS board URLs to scrape, e.g. https://boards.greenhouse.io/anthropic, https://jobs.ashbyhq.com/OpenAI, https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite", "items": { "type": "string" } }, "includeDescription": { "title": "Include full job descriptions", "type": "boolean", "description": "Fetch full description text/HTML for each job. Slower and uses more requests, especially on Workday and Ashby.", "default": false }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 0, "type": "integer", "description": "Cap the number of jobs collected per company. 0 = no limit.", "default": 0 }, "onlyNewJobs": { "title": "Monitoring mode — only new jobs", "type": "boolean", "description": "Output only jobs not seen in previous runs (state persists across runs). Ideal for scheduled runs with a webhook to Slack/CRM.", "default": false }, "stateStoreName": { "title": "State store name", "type": "string", "description": "Named key-value store used to remember previously seen jobs.", "default": "ats-jobs-state" } } }, "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 } } } } } } } } } } ```