# Company Hiring Signals (`ponderable_hydrometer/hiring-signals`) Actor Turn any list of companies into hiring-intent signals: open roles, departments hiring, recent posting velocity and a growth signal — pulled live from each company's ATS (Greenhouse, Lever, Ashby, SmartRecruiters, Workday, BambooHR, Personio). No proxies, no login. - **URL**: https://apify.com/ponderable\_hydrometer/hiring-signals.md - **Developed by:** [Ponderable Hydrometer](https://apify.com/ponderable_hydrometer) (community) - **Categories:** Automation, Lead generation, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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.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 Hiring Signals Turn a list of companies into **hiring-intent signals** — a compact, structured read on what each company is hiring for, right now, straight from its own careers system. A company that's hiring is a company that's growing and spending. This actor gives sales, lead-gen, recruiting and market-intelligence teams a fast, per-company signal instead of a raw jobs dump: how many roles are open, which departments are hiring, whether they're adding engineers or salespeople, how fresh the postings are, and an overall growth read. Data comes live from each company's ATS via public APIs (Greenhouse, Lever, Ashby, SmartRecruiters, Workday, BambooHR, Personio) — no proxies, no login, no LinkedIn/Indeed. ### Who it's for - **B2B sales & lead-gen** — hiring is a buying trigger (a company scaling its sales team needs sales tooling; one scaling engineering needs dev tools/cloud). - **Recruiters & staffing** — spot who's actively hiring and in which functions. - **Investors & market intel** — track headcount-growth signals across a portfolio or market. ### Output One row per company: ```json { "company": "stripe", "ats": "greenhouse", "status": "ok", "totalOpenRoles": 510, "postingsLast30Days": 118, "newestPostingDate": "2026-07-11T00:00:37.000Z", "remoteRoles": 102, "remoteShare": 0.2, "topDepartments": [{ "name": "Solutions Architecture", "count": 19 }], "topLocations": [{ "name": "Dublin", "count": 35 }], "categories": { "engineering": 153, "sales": 93, "marketing": 46, "product": 32, "design": 18, "operations": 78, "finance": 31, "people": 3, "executive": 16 }, "hiringEngineering": true, "hiringSales": true, "growthSignal": "high" } ```` `growthSignal` is `high` / `moderate` / `low` / `none`, based on recent posting velocity relative to size. `hiringEngineering` and `hiringSales` are quick booleans for filtering. Companies with no detectable public ATS come back with `status: "ats_not_found"` and zeroed metrics — still one clean row per company you asked about. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `companies` | array | — (required) | Company slugs or job-board URLs (a single value or a list) | | `atsHint` | string | `auto` | Force an ATS instead of auto-detecting | | `maxJobsPerCompany` | integer | `2000` | Cap on roles read per company when computing the signal | ### Notes & accuracy - **Recency by ATS.** `postingsLast30Days` and `newestPostingDate` use each ATS's posting timestamp. Some platforms (e.g. Greenhouse) expose a *last-updated* time rather than the original post date, which can make recent activity look higher — treat `growthSignal` as directional, not exact. Counts, departments, and category signals are precise. - **Workday dates.** To stay fast, this actor doesn't open each Workday posting, so Workday companies may report roles without dates (recency undercounted); totals and departments are unaffected. - **Coverage.** Only companies on the seven supported ATS platforms produce a signal. Pass a full board URL for the most reliable detection (required for Workday). - Built on public job-board APIs; you are responsible for using the output in line with your own legal and compliance requirements. # Actor input Schema ## `companies` (type: `array`): Companies to score for hiring intent — company slugs or job-board URLs. Detects the ATS automatically (Greenhouse, Lever, Ashby, SmartRecruiters, Workday, BambooHR, Personio). Examples: "stripe", "gopuff", "https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite". A single name or a list both work. ## `atsHint` (type: `string`): Force a specific ATS instead of auto-detecting. Leave on Auto-detect unless you know the board type. ## `maxJobsPerCompany` (type: `integer`): Cap on how many open roles are read per company when computing the signal. ## Actor input object example ```json { "companies": [ "stripe", "gopuff", "https://arc.bamboohr.com/careers" ], "atsHint": "auto", "maxJobsPerCompany": 2000 } ``` # 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", "gopuff", "https://arc.bamboohr.com/careers" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ponderable_hydrometer/hiring-signals").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", "gopuff", "https://arc.bamboohr.com/careers", ] } # Run the Actor and wait for it to finish run = client.actor("ponderable_hydrometer/hiring-signals").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", "gopuff", "https://arc.bamboohr.com/careers" ] }' | apify call ponderable_hydrometer/hiring-signals --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ponderable_hydrometer/hiring-signals", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Hiring Signals", "description": "Turn any list of companies into hiring-intent signals: open roles, departments hiring, recent posting velocity and a growth signal — pulled live from each company's ATS (Greenhouse, Lever, Ashby, SmartRecruiters, Workday, BambooHR, Personio). No proxies, no login.", "version": "0.1", "x-build-id": "uhgfAxgIO6MTnVSTb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ponderable_hydrometer~hiring-signals/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ponderable_hydrometer-hiring-signals", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ponderable_hydrometer~hiring-signals/runs": { "post": { "operationId": "runs-sync-ponderable_hydrometer-hiring-signals", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ponderable_hydrometer~hiring-signals/run-sync": { "post": { "operationId": "run-sync-ponderable_hydrometer-hiring-signals", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Companies to score for hiring intent — company slugs or job-board URLs. Detects the ATS automatically (Greenhouse, Lever, Ashby, SmartRecruiters, Workday, BambooHR, Personio). Examples: \"stripe\", \"gopuff\", \"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite\". A single name or a list both work.", "items": { "type": "string" } }, "atsHint": { "title": "ATS hint", "enum": [ "auto", "greenhouse", "lever", "ashby", "smartrecruiters", "workday", "bamboohr", "personio" ], "type": "string", "description": "Force a specific ATS instead of auto-detecting. Leave on Auto-detect unless you know the board type.", "default": "auto" }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 1, "type": "integer", "description": "Cap on how many open roles are read per company when computing the signal.", "default": 2000 } } }, "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 } } } } } } } } } } ```