Company Hiring Signals from Job Boards

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Hiring signals read from companies' own job boards and careers pages: leadership openings, founding roles, team scaling, technology hiring and hard-to-fill roles. Each record has the company, the signal, and every open role behind it with title, seniority, location, salary and technologies. Every signal is read from the company's own job board or careers page and resolved to a canonical company, with every open role behind it, so you get one row per signal instead of one per job post. Set your filters, run it, and pay only for the records you get back. No API key, no signup, no sales call.

Use it for hiring signals, job postings data, companies hiring, job board data, hiring intent, recruiting data, leadership hiring.

What you get

Every record carries all of the below. The table view shows the columns that scan best; the full record is in the JSON, CSV, and Excel exports.

• Signal. type (leadership opening, founding role, team scaling, technology hiring, hard-to-fill roles and more), function, role family, seniority, technologies, the date it started, whether it is still open, and the board it was read from.
• Roles. every open role behind the signal: title, function, seniority, location, posted date, link to the posting, salary where the posting states it, and technologies named.
• Company. a full company: name, domain, description, LinkedIn URL and handle, HQ city and country, industry group, industry sub-tags, verticals, employee count, founded year, and business model.

Results export to JSON, CSV, or Excel, or stream straight to your database via the Apify API.

Common use cases

• Sales and prospecting. Reach companies opening a new team or a leadership seat, while the budget behind the hire is fresh. A first SDR hire or a new Head of RevOps is a buying window.
• Recruiting and staffing. Find companies with hard-to-fill roles and growing teams, with every open role, location and salary range.
• Market and competitor research. See which companies are building sales, engineering or AI teams, and which technologies they hire for.
• Data enrichment. Add live hiring activity to your CRM or warehouse, next to funding and leadership changes.

Filters

Input	Description
maxItems	Max records (default 100)
cursor	Advanced: resume from a previous run's NEXT_CURSOR to paginate ahead
since	Only records on or after this date (YYYY-MM-DD), e.g. 2026-01-01. ISO-8601 timestamps also work. This is what makes the Actor a feed rather than an export: schedule it daily with since set to the day before, and each run returns only what is new.
until	Only records on or before this date (YYYY-MM-DD, inclusive). ISO-8601 timestamps also work.
countries	Filter by company HQ country. Select several to cover a whole region in one run instead of one run per country. About a quarter of companies have no HQ country on record, so add "Not disclosed" to keep those deals in.
eventType	Which hiring signals to return. Leave empty for all. Build-outs, surges, freezes, location expansion and filled leadership roles need two reads of a board and appear as weekly history builds up.
function	Which job functions the signal is about, for example sales or engineering.
seniority	Keep signals with at least one open role at these levels.
roleFamily	Narrower than function, for example SDRs, RevOps or ML engineers.
technologies	Keep signals whose roles name one of these technologies. Use lowercase names such as salesforce, hubspot, snowflake, dbt, kubernetes or gong.
activeOnly	Skip signals whose roles have all closed.

Leave everything empty to get the newest records first, or narrow by the filters above. One run fetches up to Max records for you, so there is no paging to do by hand.

Run it on a schedule

Most people want hiring signals as they happen rather than one export. Set your filters, save the run as a task, and schedule it daily. Set since to the day before and each run returns only what is new, so you pay for new records instead of re-fetching the same ones.

That is the difference between a one-off list and a live feed, and it is the way this Actor is meant to be used. Apify's own Schedules run the task for you; every run appends to its own dataset, and you can send each one onward with an integration to Slack, Google Sheets, a webhook, or your warehouse.

If a run ever stops early, at a charge limit for example, it saves a NEXT_CURSOR in its key-value store. Pass that back as cursor to pick up exactly where it stopped. It is a resume point, not something you need for normal use.

Example output

{
  "id": "01a13efe-713f-7b54-8c5c-9b2cc19f9f5b",
  "eventType": "leadership_opening",
  "company": {
    "id": "019e5448-f9ff-733b-9fae-efc4fa46c809",
    "name": "Jetson Home",
    "domain": "jetsonhome.com",
    "description": "Jetson Home provides fast, affordable all-electric heat pump installation and home electrification solutions.",
    "linkedinUrl": "https://www.linkedin.com/company/jetson-home",
    "hqCity": "North Vancouver",
    "hqCountry": {
      "code": "CA",
      "name": "Canada"
    },
    "industryGroup": "Consumer Services",
    "naicsCode": "81",
    "naicsLevel": 2,
    "industrySubTags": [
      "consumer-services"
    ]
  },
  "function": "operations",
  "seniority": "vp_level",
  "roleFamily": null,
  "country": null,
  "technologies": [
    "hubspot"
  ],
  "announcedAt": "2026-10-05",
  "endedAt": null,
  "active": true,
  "roleCount": 3,
  "roles": [
    {
      "title": "Vice President, Field Operations",
      "function": "operations",
      "seniority": "vp_level",
      "roleFamily": null,
      "location": "Remote, USA",
      "postedAt": "2026-10-08",
      "url": "https://job-boards.greenhouse.io/jetsonhome/jobs/4431895009",
      "salary": {
        "min": 190000,
        "max": 220000,
        "currency": "USD",
        "interval": "year"
      },
      "technologies": [
        "hubspot"
      ]
    },
    {
      "title": "Director of Technical Service",
      "function": "operations",
      "seniority": "director",
      "roleFamily": null,
      "location": "North Vancouver, BC",
      "postedAt": "2026-10-05",
      "url": "https://job-boards.greenhouse.io/jetsonhome/jobs/4408738009",
      "salary": {
        "min": 165000,
        "max": 200000,
        "currency": "USD",
        "interval": "year"
      },
      "technologies": [
        "hubspot"
      ]
    }
  ],
  "board": "greenhouse",
  "discoveredAt": "2026-10-15T09:57:04.882Z"
}

What it costs

You pay per record returned, $0.07 each, dropping to $0.06 on higher Apify plans. Nothing is charged for a run that returns nothing, and filters that match no records cost you nothing at all.

Records	Cost
10	$0.70
100	$7.00
1,000	$70.00
10,000	$700.00

Set Max records to cap any single run, so a run can never cost more than you intended.

What this Actor does not cover

It tracks hiring signals for companies that raise, get acquired, or hire — venture-backed and growth companies, worldwide. It is not a general business directory: local service businesses, restaurants, airports, and similar establishments are not in here. If you need every business in a city, this is the wrong tool.

FAQ

What data does this actor return?

Hiring signals read from companies' own job boards and careers pages: leadership openings, founding roles, team scaling, technology hiring and hard-to-fill roles. Each record has the company, the signal, and every open role behind it with title, seniority, location, salary and technologies. Fields: Company, Domain, Signal, Function, Seniority, Roles, Since, Open, Technologies, Country, Industry, Company LinkedIn. Each one is matched to a canonical company.

Is this a Crunchbase, PitchBook, or Coresignal alternative?

Yes. It is a self-serve, API-first alternative to Crunchbase, PitchBook, Coresignal, and Harmonic, with no annual contract and no sales call.

How fresh is the data?

Most records are available the same day they are announced. Across the last 30 days, the median gap between a public announcement and the record being available was under one day.

Can I monitor hiring signals on a schedule?

Yes. Save your filters as a task and use Apify's scheduler to run it daily or weekly, with "since" set to the date of your last run.

Some records have an empty field. Can I still get those?

Yes. Not every announcement states every detail, and where a value was never disclosed the field is left empty rather than guessed. Filters that can be empty offer a Not disclosed option (HQ country and industry, plus funding round where it applies). Select it to include those records instead of dropping them from a filtered run.

How is the data deduplicated?

Each real-world event is matched across every outlet that reported it and resolved to one canonical company (and investors), so you never get the same round or deal twice.

How do I get the next batch of records?

Each run saves a NEXT_CURSOR to its key-value store. Pass it as the cursor input on the next run to continue where you left off. For new records over time, use the since filter.

Is there a free way to try it?

Free Apify accounts get a one-time sample of 50 records from this Actor, so you can see the shape and quality of the data before paying. It is per Actor, it does not reset, and it is meant for evaluation rather than for collecting a dataset.

Beyond the sample this Actor is for paid Apify plans, where you pay only for the records you get back.

Terms of use

Records returned by this Actor are licensed for use inside your own products and workflows. Building on the data is encouraged. Reselling, redistributing or republishing the records as data, in raw or substantially raw form, is not permitted, and neither is systematic extraction to reconstruct the dataset.

Full terms: datahyena.com/terms

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