Hiring Signals to Notion

Push company hiring signals straight into Notion — open-role counts, departments and hiring velocity as an intent feed for your team.

📊 Sample Output

company	company_slug	open_roles_count	source	data_source	as_of_timestamp
stripe	stripe	692	https://boards.greenhouse.io/stripe	greenhouse.io (public job-board API)	2026-09-25T00:03:21.821758+00:00
airbnb	airbnb	157	https://boards.greenhouse.io/airbnb	greenhouse.io (public job-board API)	2026-09-25T00:03:22.335222+00:00
anthropic	anthropic	622	https://boards.greenhouse.io/anthropic	greenhouse.io (public job-board API)	2026-09-25T00:03:23.119867+00:00

Real rows from run DOBPxqNVQHTukLVEC on build 0.0.13 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

⚙️ Sample inputs

This is the Store example input — the same input Apify's automated check runs — so it is proven to return rows on the current build. Paste it into the input form, or send it through the API, CLI or a schedule:

{
  "companies": [
    "stripe",
    "airbnb",
    "anthropic"
  ]
}

🔧 Input reference

Field	Type	Default	What it does
companies (required)	array	["stripe", "airbnb", "anthropic"]	Companies to score, by Greenhouse slug or company name. Names are normalized to slug candidates automatically. Verified-working: stripe, airbnb, anthropic, figma, discord, gitlab,…
notionConnector	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…
notionParentId	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.
supabaseConnector	string		Optional. Connect your own Supabase project and the results are also inserted into a table in the same run — the Actor never sees your Supabase credentials. Authorize a write-scop…
supabaseTable	string	"nexgendata_leads"	Target table in the public schema (created if missing, with id, a jsonb data column, and a scraped_at timestamp). Default: nexgendata_leads.
supabaseProjectId	string		Your Supabase project reference (e.g. abcdefghijklmnop). Required unless your connector URL is already project-scoped. Find it in your project URL: supabase.com/dashboard/project/…
deliveryDedup	boolean	true	When on (default), records already delivered in a previous run are not delivered again to the same destination — so scheduled runs only push new items. Turn off to deliver every r…

🧾 JSON sample record

One real record from run DOBPxqNVQHTukLVEC (emails/phones masked, long text shortened):

{
  "company": "stripe",
  "company_slug": "stripe",
  "open_roles_count": 692,
  "departments": [
    {
      "department": "1185 Account Executives (EMEA)",
      "open_roles": 24
    },
    {
      "department": "Global Operations",
      "open_roles": 23
    },
    {
      "department": "1170 GEO Sales HQ (NA)",
      "open_roles": 19
    },
    {
      "department": "5112 General University",
      "open_roles": 17
    },
    {
      "department": "8611 Security Analytics",
      "open_roles": 16
    },
    {
      "department": "1340 Customer Success Management",
      "open_roles": 15
    },
    {
      "department": "1642 Product Sales - MaaS",
      "open_roles": 13
    },
    {
      "department": "1520 Sales Operations (SS&O)",
      "open_roles": 13
    },
    "…"
  ],
  "notable_roles": [
    "Abuse Investigator",
    "Abuse Investigator",
    "Abuse Investigator",
    "Account Executive, AI Sales",
    "Account Executive, AI Startups - Grower",
    "Account Executive, AI Startups (Hunter)",
    "Account Executive, Bridge ",
    "Account Executive, Bridge "
  ],
  "locations": [
    {
      "location": "Singapore",
      "open_roles": 51
    },
    {
      "location": "Dublin",
      "open_roles": 36
    },
    {
      "location": "Bengaluru",
      "open_roles": 29
    },
    {
      "location": "London",
      "open_roles": 28
    },
    {
      "location": "N/A",
      "open_roles": 24
    },
    {
      "location": "Mexico City",
      "open_roles": 22
    },
    {
      "location": "Chicago",
      "open_roles": 21
    },
    {
      "location": "US",
      "open_roles": 15
    }
  ],
  "hiring_velocity_note": "expanding eng (241) + sales (145) + ops (129) — 692 open roles total",
  "source": "https://boards.greenhouse.io/stripe",
  "data_source": "greenhouse.io (public job-board API)",
  "as_of_timestamp": "2026-09-25T00:03:21.821758+00:00"
}

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$0.005	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Company scorecard (result)	$0.05	Charged per company hiring-signal scorecard.

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.05 = $5.00 plus the start fee.

🔗 Related Actors

More from the NexGenData Jobs & hiring signals family:

• Foundit India Jobs Scraper — Salaries & Skills, No API Key
• Greenhouse Jobs Scraper — Hiring Data API
• H-1B Visa Salary Search — Employer & Wage Data API
• Tech Hiring Signals — ATS Job Postings API
• Workday Jobs Scraper — Hiring Data API

2 more in this family on the NexGenData Store page.

⏰ Run this as a weekly hiring monitor (recommended)

Point it at a watchlist of companies and schedule a weekly sweep (0 8 * * 1). New roles become an always-on hiring-signal feed — see who's scaling which teams, week over week, before it's obvious.

📊 What you get

Clean JSON, one record per result (full output has 10 fields):

• company — Company
• company_slug — Company slug
• open_roles_count — Open roles count
• departments — Departments
• notable_roles — Notable roles
• locations — Locations
• hiring_velocity_note — Hiring velocity note
• source — Source
• data_source — Data source
• as_of_timestamp — As of timestamp

Pricing: $0.05 per company scorecard delivered (Pay-Per-Event) — about 20 scorecards per $1 — plus $0.005 per GB of memory at Actor start. You are charged only for scorecards actually delivered: companies with no public Greenhouse board are reported in the run status, not returned and not charged.

🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull hiring data on demand.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

🔗 Related jobs & hiring actors

The ATS family — every major ATS, one schema: Greenhouse · Lever · Workday · Workable & SmartRecruiters · ATS Job Aggregator · Company Job Board

Other job sources: HN Who's Hiring · We Work Remotely · H-1B Salary Search

Hiring-intelligence layer (signals): Hiring Signal Detector · Tech Hiring Signals

Deepest single source — LinkedIn Jobs Scraper: LinkedIn Jobs Scraper

APAC coverage: Singapore MyCareersFuture

Agent front door — Job Market MCP: Job Market MCP

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Public job-posting and hiring-signal data.