# Hiring Signals → Notion — Who's Hiring & Which Teams Grow (`nexgendata/hiring-signals-notion`) Actor - **URL**: https://apify.com/nexgendata/hiring-signals-notion.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 company scorecards 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 ## Hiring Signals → Notion — Track Who's Hiring & Which Teams Are Growing **Feed it a list of companies. Get back a hiring-signal scorecard for each — and (optionally) a ready-to-use Notion database, built in the same run.** Hiring is the most honest signal a company sends. A wave of new engineering reqs means a product push. A sudden run of sales and BD roles means a go-to-market expansion. New offices in a new city means geographic growth. This Actor reads a company's **live, public job board** and turns it into a one-line read on where that company is putting its money — then drops it straight into your Notion workspace if you want it there. Built for **recruiters, sales/BD teams, competitive-intel analysts, and investors** who want to know who's growing *before* it's obvious. --- ### What you get per company Each scorecard contains: | Field | What it tells you | |---|---| | `company` / `company_slug` | The company and its resolved Greenhouse board | | `open_roles_count` | Total live open roles right now | | `departments` | Every hiring team with an open-role count (ranked) | | `notable_roles` | A handful of representative open titles | | `locations` | Where they're hiring, top locations ranked | | `hiring_velocity_note` | Plain English — e.g. *"expanding eng (28) + sales (11) — 64 open roles total"* | | `source` | Direct link to the live job board | | `data_source` | Always the public Greenhouse job-board API | | `as_of_timestamp` | When the snapshot was taken (UTC) | ### 📊 Sample Output [![Hiring Signals to Notion sample output — live hiring-signal scorecards for Stripe, Anthropic, Airbnb, Figma, Reddit, GitLab, Asana and Discord showing open-role counts, top hiring department, and a plain-English hiring-velocity note from public Greenhouse job boards](https://api.apify.com/v2/key-value-stores/8gLgXMBveEI1tTz1z/records/hiring-signals-notion-sample)](https://apify.com/nexgendata/hiring-signals-notion?fpr=2ayu9b) Real scorecards returned by a live run across **8 companies** — every value below comes straight from the public Greenhouse job-board API at run time: | Company | Open roles | Top hiring department | Hiring-velocity note | |---|---|---|---| | Stripe | 506 | 1150 Solutions Architecture (23) | expanding eng (181) + ops (108) + sales (59) — 506 open roles total | | Anthropic | 378 | Sales (74) | expanding eng (220) + sales (68) + ops (38) — 378 open roles total | | Airbnb | 222 | Software Engineering (67) | expanding eng (87) + sales (44) + ops (38) — 222 open roles total | | Figma | 171 | Sales (64) | expanding sales (75) + eng (48) + ops (18) — 171 open roles total | | Reddit | 146 | Large Customer Sales (26) | expanding eng (82) + sales (36) + product (4) — 146 open roles total | | GitLab | 138 | EMEA - Commercial (14) | expanding eng (49) + sales (42) + ops (18) — 138 open roles total | | Asana | 133 | Product Engineering (30) | expanding eng (62) + sales (25) + ops (16) — 133 open roles total | | Discord | 70 | Core Tech Engineering (14) | expanding eng (41) + ops (10) + product (7) — 70 open roles total | Each dataset row also carries the full ranked `departments` and `locations` arrays, `notable_roles`, the live `source` link, `data_source`, and `as_of_timestamp` — see the full JSON object under **Example output** below. --- ### Optional: one-run delivery into Notion Add a **Notion MCP connector** and the Actor builds a fresh Notion database for you in the same run — one row per company, columns for open roles, top departments, notable roles, top locations, hiring-velocity note, source, and snapshot date. The Actor **never sees your Notion credentials**; Apify injects them server-side through the connector. Leave the connector blank and you simply get the dataset. To use it: authorize a Notion MCP connector in **Apify Console → Settings → API & Integrations**, then pick it in the `notionConnector` field. Optionally pass a `notionParentId` to nest the database under a specific page. --- ### Input ```json { "companies": ["stripe", "airbnb", "anthropic"], "notionConnector": null, "notionParentId": null } ```` - **companies** — slugs or company names. Names are normalized to Greenhouse slug candidates automatically (e.g. "Air BnB" → `airbnb`). Verified-working slugs: `stripe`, `airbnb`, `anthropic`, `figma`, `discord`, `gitlab`, `reddit`, `asana`. Companies on a different ATS (Lever, Ashby, Workday) are returned with a clear "not found on Greenhouse" note rather than failing. - **notionConnector** — optional Notion MCP connector. Blank = dataset-only. - **notionParentId** — optional Notion page ID to create the database under. *** ### Example output ```json { "company": "stripe", "company_slug": "stripe", "open_roles_count": 312, "departments": [ { "department": "Engineering", "open_roles": 118 }, { "department": "Sales", "open_roles": 41 }, { "department": "Operations", "open_roles": 22 } ], "notable_roles": ["Staff Software Engineer", "Account Executive, Mid-Market", "Product Manager, Payments"], "locations": [ { "location": "Remote", "open_roles": 96 }, { "location": "San Francisco", "open_roles": 44 } ], "hiring_velocity_note": "expanding eng (118) + sales (41) + ops (22) — 312 open roles total", "source": "https://boards.greenhouse.io/stripe", "data_source": "greenhouse.io (public job-board API)", "as_of_timestamp": "2026-06-13T16:40:00+00:00" } ``` *** ### How it works The Actor queries the **open, unauthenticated Greenhouse public job-board API** (`boards-api.greenhouse.io`) — the same data that renders on `boards.greenhouse.io/`. No logins, no scraping behind walls, **public data only**. It then aggregates departments, locations, and role titles into a single scorecard and phrases a hiring-velocity summary. *** ### Use cases - **Recruiters** — spot which competitors are mass-hiring for the exact roles you place. - **Sales / BD** — a company opening 40 sales roles is a company about to buy sales tooling. Time your outreach. - **Competitive intel** — track a rival's headcount investment by team, week over week. - **Investors** — hiring velocity is a leading indicator of growth that shows up before revenue does. *** ### 🔗 Related NexGenData actors - **[Greenhouse Jobs Scraper](https://apify.com/nexgendata/greenhouse-jobs-scraper?fpr=2ayu9b)** — the raw role-level data behind these scorecards: title, location, departments, full description HTML. - **[LinkedIn Jobs Scraper](https://apify.com/nexgendata/linkedin-jobs-scraper?fpr=2ayu9b)** — hiring data from LinkedIn for companies not on Greenhouse. - **[Hiring Signal Detector](https://apify.com/nexgendata/hiring-signal-detector?fpr=2ayu9b)** — deeper trend detection across hiring sources. - **🏢 [About NexGenData](https://apify.com/nexgendata?fpr=2ayu9b)** — our full fleet of business-data and Notion-delivery actors. *** *Public data only. Use responsibly and follow applicable employment, outreach, and privacy laws.* # Actor input Schema ## `companies` (type: `array`): Companies to score, by Greenhouse slug or company name. Names are normalized to slug candidates automatically. Verified-working: stripe, airbnb, anthropic, figma, discord, gitlab, reddit, asana. Companies on a different ATS (Lever, Ashby, Workday) are returned with a 'not found on Greenhouse' note instead of failing. ## `notionConnector` (type: `string`): Connect your Notion workspace and this Actor builds your hiring-signals database there in the same run — it never sees your Notion credentials. Authorize a Notion MCP connector in Apify Console → Settings → API & Integrations, then select it here. Leave blank to get the dataset only. ## `notionParentId` (type: `string`): Optional. The Notion page ID to create the hiring-signals database under. If blank, Notion creates it as a private page in your workspace. ## Actor input object example ```json { "companies": [ "figma", "discord", "gitlab" ] } ``` # 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", "airbnb", "anthropic" ] }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/hiring-signals-notion").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", "airbnb", "anthropic", ] } # Run the Actor and wait for it to finish run = client.actor("nexgendata/hiring-signals-notion").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", "airbnb", "anthropic" ] }' | apify call nexgendata/hiring-signals-notion --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/hiring-signals-notion", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hiring Signals → Notion — Who's Hiring & Which Teams Grow", "version": "0.0", "x-build-id": "75pk0yknE1AX2hAPg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~hiring-signals-notion/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-hiring-signals-notion", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~hiring-signals-notion/runs": { "post": { "operationId": "runs-sync-nexgendata-hiring-signals-notion", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~hiring-signals-notion/run-sync": { "post": { "operationId": "run-sync-nexgendata-hiring-signals-notion", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 (slug or name)", "type": "array", "description": "Companies to score, by Greenhouse slug or company name. Names are normalized to slug candidates automatically. Verified-working: stripe, airbnb, anthropic, figma, discord, gitlab, reddit, asana. Companies on a different ATS (Lever, Ashby, Workday) are returned with a 'not found on Greenhouse' note instead of failing.", "items": { "type": "string" } }, "notionConnector": { "title": "Notion connector (optional)", "type": "string", "description": "Connect your Notion workspace and this Actor builds your hiring-signals database there in the same run — it never sees your Notion credentials. Authorize a Notion MCP connector in Apify Console → Settings → API & Integrations, then select it here. Leave blank to get the dataset only." }, "notionParentId": { "title": "Notion parent page ID (optional)", "type": "string", "description": "Optional. The Notion page ID to create the hiring-signals database under. If blank, Notion creates it as a private page in your workspace." } } }, "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 } } } } } } } } } } ```