# ATS Hiring-Signal Tracker (Greenhouse + Lever) (`scrapemint/ats-hiring-signal-tracker`) Actor Give it target companies and it resolves each on Greenhouse and Lever, returning the live hiring signal: open-role count, departments hiring, locations, senior roles, and recent postings. Account intelligence for sales and competitive intel. Keyless. - **URL**: https://apify.com/scrapemint/ats-hiring-signal-tracker.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 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 ## ATS Hiring-Signal Tracker (Greenhouse + Lever) Account intelligence, not lead discovery. Give it a list of **target companies** and it resolves each on Greenhouse and Lever (the public job board APIs) and returns the live hiring signal: open-role count, which **departments are hiring**, locations, senior-role count, the newest posting, and roles posted in the last 30 days. "Is this account hiring, and for what?" A company spinning up a new team is a buying trigger, so this is built for sales and competitive intelligence on named accounts, not for building a cold list from scratch. ### Who buys this - **B2B sales teams** using hiring as a buying signal on their pipeline. - **Competitive intelligence** tracking what rivals are staffing up. - **Recruiters and staffing** monitoring named accounts. ### How it works 1. For each company you pass, it tries Greenhouse and Lever using the company's ATS token (slugified from the name, or passed explicitly). 2. It reads the open roles and aggregates them: count, departments, locations, senior roles, and recent postings. 3. Each company is scored and tiered, then pushed as one row. ### Output One row per company: ```json { "company": "Stripe", "status": "found", "atsPlatform": "greenhouse", "atsToken": "stripe", "tier": "hot_account", "openRoles": 491, "seniorRoles": 180, "lastActivityDate": "2026-06-26", "departments": [{ "name": "Engineering", "count": 210 }, { "name": "Sales", "count": 70 }], "topLocations": ["San Francisco, CA", "Remote", "Dublin"], "hiringSignal": ["Engineering", "Sales", "Product & Design"], "sampleRoles": ["Account Executive, AI Sales", "..."] } ```` ### Tiers and pricing Pay per resolved company. Companies not found on any ATS are returned but never charged. The first 5 `hot_account` per run are free. | Tier | Meaning | Price | | --- | --- | --- | | `quiet_account` | On an ATS, no open roles right now | $0.03 | | `active_account` | Open roles, with the department and location breakdown | $0.08 | | `hot_account` | At or above the hot threshold of open roles | $0.15 | | `not_found` | Not on Greenhouse or Lever | free | ### Input | Field | Default | Notes | | --- | --- | --- | | `companies` | `[]` | Names or ATS tokens. Use `greenhouse:token` / `lever:token` for an exact match. | | `hotMinRoles` | `10` | Open-role threshold for the hot\_account tier. | | `maxCompanies` | `200` | Cap companies checked per run. | | `concurrency` | `5` | Companies resolved in parallel. | ### Notes - The ATS token defaults to a slug of the company name; for best coverage pass the exact token from the careers URL (e.g. `boards.greenhouse.io/TOKEN` or `jobs.lever.co/TOKEN`). - Only companies on Greenhouse or Lever are covered (a large share of tech, not every company). Others return `not_found` and are not charged. - Respect each platform's terms. # Actor input Schema ## `companies` (type: `array`): Company names or ATS tokens to check. A name is slugified to guess the token; for an exact match pass 'greenhouse:token' or 'lever:token' (the token is the slug in the careers URL, e.g. boards.greenhouse.io/TOKEN). ## `hotMinRoles` (type: `integer`): A company with at least this many open roles and a posting in the last 30 days is tiered hot\_account. ## `maxCompanies` (type: `integer`): Cap how many companies are checked per run. ## `concurrency` (type: `integer`): Companies resolved in parallel. ## Actor input object example ```json { "companies": [ "Stripe", "Ramp", "Notion", "greenhouse:airbnb" ], "hotMinRoles": 10, "maxCompanies": 200, "concurrency": 5 } ``` # 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": [ "Stripe", "Ramp", "Notion", "greenhouse:airbnb" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/ats-hiring-signal-tracker").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": [ "Stripe", "Ramp", "Notion", "greenhouse:airbnb", ] } # Run the Actor and wait for it to finish run = client.actor("scrapemint/ats-hiring-signal-tracker").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": [ "Stripe", "Ramp", "Notion", "greenhouse:airbnb" ] }' | apify call scrapemint/ats-hiring-signal-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/ats-hiring-signal-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ATS Hiring-Signal Tracker (Greenhouse + Lever)", "description": "Give it target companies and it resolves each on Greenhouse and Lever, returning the live hiring signal: open-role count, departments hiring, locations, senior roles, and recent postings. Account intelligence for sales and competitive intel. Keyless.", "version": "0.1", "x-build-id": "dhDBMvUw7RfZKXYHv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~ats-hiring-signal-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-ats-hiring-signal-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~ats-hiring-signal-tracker/runs": { "post": { "operationId": "runs-sync-scrapemint-ats-hiring-signal-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~ats-hiring-signal-tracker/run-sync": { "post": { "operationId": "run-sync-scrapemint-ats-hiring-signal-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Target companies", "type": "array", "description": "Company names or ATS tokens to check. A name is slugified to guess the token; for an exact match pass 'greenhouse:token' or 'lever:token' (the token is the slug in the careers URL, e.g. boards.greenhouse.io/TOKEN).", "default": [], "items": { "type": "string" } }, "hotMinRoles": { "title": "Hot account threshold (open roles)", "minimum": 1, "type": "integer", "description": "A company with at least this many open roles and a posting in the last 30 days is tiered hot_account.", "default": 10 }, "maxCompanies": { "title": "Max companies", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Cap how many companies are checked per run.", "default": 200 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 15, "type": "integer", "description": "Companies resolved in parallel.", "default": 5 } } }, "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 } } } } } } } } } } ```