Company Hiring Signals from 20,000+ Career Sites avatar

Company Hiring Signals from 20,000+ Career Sites

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from $10.00 / 1,000 company profile saveds

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Company Hiring Signals from 20,000+ Career Sites

Company Hiring Signals from 20,000+ Career Sites

Which companies are hiring, for what and where: open jobs, jobs posted in the last 7 and 30 days, job functions, countries, remote share and leadership roles per company, from the career sites of 20,000+ companies. Find who hires for any role. No LinkedIn, no login.

Pricing

from $10.00 / 1,000 company profile saveds

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Developer

Bruno Petrelli

Bruno Petrelli

Maintained by Community

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19 hours ago

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Who is hiring, for what and where. One profile per company: how many jobs it has open, how many it posted in the last 7, 30 and 90 days, in which job functions (engineering, sales, data, healthcare...), in which countries, how many are remote, which leadership roles it is hiring, and its newest jobs with links.

It works two ways:

  • Find the companies hiring for something: leave Companies empty and filter by role keywords, job functions, places and dates. You get the companies with the most matching jobs, ranked. "Companies with 3+ engineering jobs in London posted this month."
  • Profile a list of companies: give names, websites or careers page URLs and get the hiring profile of each one. Schedule it weekly with Only companies with new jobs to know when your target accounts start hiring.

The data is the open jobs of 20,000+ companies, read once a day from their own career sites on Greenhouse, Lever, Ashby, Recruitee, Personio, Teamtailor and Gem: the jobs each company publishes for anyone to apply. No LinkedIn, no login, no proxies.

Who uses it

  • Recruiting and staffing agencies: companies that are building a team are your next clients. Find them by role and city, see how many jobs they posted this month and which ones are leadership roles.
  • B2B sales teams: hiring is a buying signal. A company hiring 5 data engineers will buy data tools; one hiring its first sales team will buy a CRM. Feed the list into your CRM or outreach.
  • Investors and market research: which companies grow which teams, where, and how fast, from their own job posts.
  • Job seekers and career coaches: who is hiring for your role in your city, with the newest jobs.

What you get

One record per company. Deliveroo's engineering, data and product jobs, read on 2026-10-08 ("functions": ["engineering", "data_ai", "product"], two jobs listed):

{
"company": "Deliveroo",
"status": "ok",
"matchingJobs": 44,
"openJobs": 197,
"postedLast7Days": 5,
"postedLast30Days": 44,
"postedLast90Days": 44,
"newestJobPostedAt": "2026-10-07T22:05:05.000Z",
"topFunction": "Engineering",
"functions": { "engineering": 25, "data_ai": 13, "product": 6 },
"countries": { "GB": 40, "IN": 3, "DE": 1 },
"remoteJobs": 0,
"remotePercent": 0,
"leadershipJobs": 0,
"leadershipTitles": [],
"internships": 0,
"seniority": { "senior": 21, "unspecified": 17, "lead": 5, "entry": 1 },
"newestJobs": [
{ "title": "Software Engineer II - Android", "function": "Engineering", "department": null, "location": "London, United Kingdom - Deliveroo",
"country": "GB", "remote": null, "postedAt": "2026-10-07T22:05:05.000Z", "url": "https://job-boards.greenhouse.io/deliveroo/jobs/8202481" },
{ "title": "Senior Machine Learning Engineer - Recommendations", "function": "Data, AI & machine learning", "department": null, "location": "London, England",
"country": "GB", "remote": null, "postedAt": "2026-10-07T13:29:52.000Z", "url": "https://job-boards.greenhouse.io/deliveroo/jobs/8261231" }
],
"signals": [
"5 of 44 matching jobs posted in the last 7 days (44 in the last 30).",
"57% of the matching jobs are in engineering.",
"Jobs in 3 countries: GB, IN, DE."
],
"careersUrl": "https://job-boards.greenhouse.io/deliveroo",
"platform": "greenhouse",
"companySlug": "deliveroo",
"openApplications": 1,
"dataAsOf": "2026-10-08T21:57:14.438Z",
"source": "live",
"input": "https://job-boards.greenhouse.io/deliveroo",
"matchedBy": "careers page"
}
FieldWhat it is
companyCompany name (from the career site, or the name you gave).
statusok for a company with matching jobs. For a list of companies, also too_few_jobs, no_matching_jobs, not_found, unreadable or unsupported, with a message (these rows are free).
matchingJobsJobs that pass your filters. With no filter, every open job (open applications left out).
openJobsAll the company's open jobs, whatever the filters.
postedLast7Days, postedLast30Days, postedLast90DaysMatching jobs first published in the last 7, 30 and 90 days before dataAsOf.
newestJobPostedAtWhen the newest matching job was published.
topFunction, functionsThe main job function and the count per function, biggest first.
countriesMatching jobs per country (two-letter code), from the career site or from a country named in the location.
remoteJobs, remotePercentMatching jobs that offer a fully remote option.
leadershipJobs, leadershipTitlesDirector, head of, VP and C-level jobs, and their titles.
seniority, internshipsMatching jobs per level read from the title (intern, entry, senior, lead, director, executive, unspecified).
newestJobsThe newest matching jobs: title, function, department, location, country, remote, date and link to the job page.
signalsThe profile in short sentences: "7 of 27 matching jobs posted in the last 7 days (27 in the last 30).", "Hiring for 2 leadership roles: ...", "Jobs in 3 countries: GB, DE, US."
careersUrl, platform, companySlugThe company's careers page and the platform it runs on.
openApplicationsOpen applications and talent pools the company also posts. They are not counted as jobs.
dataAsOf, sourceWhen the jobs were read: the date of the daily index, or now for a company read live (live).
input, matchedByFor a list of companies: what you wrote, and how it was matched (name, website or careers page).
newSinceLastRunWith Only companies with new jobs: how many matching jobs are new since the last run (those are the ones listed).

Input

Companies hiring 2 or more data engineers, with jobs posted in the last 30 days (the example of the form):

{
"keywords": ["data engineer"],
"postedWithinDays": 30,
"minJobs": 2,
"maxCompanies": 20
}

Companies with 3 or more engineering jobs in London posted in the last 30 days:

{
"functions": ["engineering"],
"locations": ["London"],
"postedWithinDays": 30,
"minJobs": 3,
"maxCompanies": 25
}

Remote engineering and data teams that are growing fastest:

{
"functions": ["engineering", "data_ai"],
"remoteOnly": true,
"postedWithinDays": 30,
"minJobs": 3,
"sortBy": "recent"
}

Your target accounts every week, only the ones that posted new jobs:

{
"companies": ["Stripe", "notion.so", "https://jobs.ashbyhq.com/openai", "Hugging Face"],
"onlyNew": true
}
FieldWhat it does
companiesNames, websites or careers page URLs (Greenhouse, Lever, Ashby, Workable, Recruitee, Personio, Teamtailor, Gem). Up to 1,000. Empty = search every company.
keywords, excludeKeywordsWords in the job title, whole-word ("intern" does not match "internal").
functionsJob functions: engineering, data_ai, product, design, it_security, sales, marketing, customer_success, operations, finance, people, legal, science_research, healthcare, education, retail_hospitality, trades_logistics, plus ai_training and open_application (left out unless chosen).
locationsText in the job location or the country code: Berlin, Germany, DE, London. "remote" also matches remote jobs.
remoteOnlyOnly jobs with a fully remote option.
postedWithinDaysOnly jobs published in the last N days. Empty = every open job.
seniority, workplaceTypes, employmentTypesLevel read from the title; remote, hybrid or on-site; full-time, part-time, contract, temporary, internship.
minJobsOnly companies with at least this many matching jobs (1 by default).
sortByjobs (most matching jobs), recent (most posted in the last 30 days) or newest. A list of companies keeps your order.
maxCompaniesHow many top companies a search saves (50 by default).
jobsPerCompanyNewest matching jobs listed per company (5 by default, up to 50).
onlyNew + memoryNameOnly companies that posted a matching job no earlier run of the same setup reported. The memory lives 180 days in a key-value store named digital-influx-hiring-signals in your account.

Job functions

The function of each job comes from its title, in English, German, French, Dutch, Spanish and the Nordic languages, and from the department the career site gives when the title says nothing. The rules were written on the 428,796 titles of the index of 2026-10-02 and checked by hand on samples of each function: about 85% of the jobs get a function, the rest are other. A title that names two functions goes to the more specific one: "Sales Engineer" is sales, "Data Engineer" is data, "Product Designer" is design, "Technical Account Manager" is customer success, a retail "Sales Assistant" is retail.

Two kinds of postings are left out unless you choose them in functions: open applications and talent pools ("Initiativbewerbung", "Join our talent community"), which are not jobs, and AI-training and survey gigs that a few boards post by the thousand ("Registered Nurses - AI Training"), which would otherwise outrank real employers.

How much it costs

Pay per event: USD 0.01 per company profile saved, only for companies with matching jobs. Companies not found, without matching jobs or that could not be read are saved free, so you know what happened to each one. A search over the whole index takes a few seconds and costs only the profiles it saves: the example of the form costs at most USD 0.20.

Use it from AI agents (MCP)

Claude, ChatGPT, Cursor and any other MCP client can run this Actor as a tool: add https://mcp.apify.com?tools=digital_influx/hiring-signals as a remote MCP server and sign in with your Apify account. For job search itself, see Job Search MCP (digital_influx/job-search-mcp) by the same author.

Good to know

  • Fresh every day. The index is rebuilt every day by reading each company's career site, so a job closed yesterday is gone and a job posted yesterday is in. dataAsOf says when. Companies you name that are not in the index are read live, at the moment of the run.
  • Dates are first publication dates. postedLast7Days counts jobs first published in those days. A company that republishes old jobs can look busier than it is. Almost every job has a date: in the index of 2026-10-02 only 360 of 196,413 Greenhouse jobs had none, and those count only in matchingJobs.
  • Open jobs, not employees. This is not a headcount: it counts the jobs a company has open on its own career site.
  • Which companies: about 20,000 companies whose career site runs on one of the seven platforms, found through Common Crawl and checked live. Many are technology companies and startups in the US and Europe, plus retailers, healthcare providers and others. A company on another platform (Workday, SmartRecruiters, its own site) is not covered; Workday career sites can be read with Workday Jobs Scraper (digital_influx/workday-jobs-scraper).
  • Names: Ashby, Lever, Teamtailor and Gem do not send the company name, so the name comes from the board address ("Openai") unless you wrote the name yourself. Websites are matched by their name (stripe.com is the board stripe): check careersUrl when a short name could be another company.
  • Very big Lever boards are read up to their 1,000 newest jobs.
  • Requests: a search reads only the index. Companies read live are asked through the public job APIs of each platform, with an honest User-Agent, a few at a time, and Lever at its one request per second.

Sources

The public job board APIs of Greenhouse, Lever, Ashby, Workable, Recruitee, Personio, Teamtailor and Gem, where each company publishes its own open jobs. The jobs belong to the companies that post them; this Actor counts them and links to them. No platform or company endorses this Actor.