Companies Hiring Now: Hiring Leads with Contacts
Under maintenancePricing
$20.00 / 1,000 lead-returneds
Companies Hiring Now: Hiring Leads with Contacts
Under maintenanceCompanies that opened new jobs in the last 7 days across 6,600 career sites (Greenhouse, Lever, Ashby, Workable and more), with new roles, departments, locations, careers URL, email, phone and LinkedIn. One lead per company, pay per lead.
Pricing
$20.00 / 1,000 lead-returneds
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DataSignals Lab
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a day ago
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Find the companies that opened new jobs this week, before anyone else calls them. This Actor checks up to 6,600 company career sites (Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Teamtailor, Breezy, Rippling, Personio, Recruitee and Workday), counts the jobs posted in your window, and returns one lead per company that is actively hiring: new roles, departments, locations, the careers page, and the email, phone and LinkedIn page from the company website. You pay per lead, nothing for companies that did not post anything.
Who uses hiring leads
- Recruitment agencies and RPOs: a company that just posted five sales roles needs candidates now. The lead gives you the roles, the location and the address to send your pitch.
- B2B sales teams selling to growing companies (HR software, payroll, office space, equipment, relocation): hiring is the earliest public signal that a company is spending.
- Investors and analysts: hiring velocity per company, refreshed daily, without reading 6,600 job boards.
- Job seekers and career coaches: companies hiring in your field this week, with the newest roles and the direct links.
Step by step
- Enter role keywords such as
salesorpython, or leave empty for every role. - Optionally pick a country and the ATS platforms you care about.
- Set the window (7 days by default) and the minimum number of new jobs per company.
- Run it. Each company that posted enough new jobs in the window becomes one row.
- Schedule it daily or weekly and de-duplicate on
slugto get only the companies that are new to your list.
What you get per lead
| Field | Example |
|---|---|
| company | Figma |
| slug | figma |
| ats | greenhouse |
| careersUrl | https://boards.greenhouse.io/figma |
| website | https://figma.com |
| newJobs | 12 (posted in the window and matching your filters) |
| openJobs | 148 (everything open on the board) |
| hiringVelocity | 0.081 (newJobs divided by openJobs) |
| latestPostedAt | 2026-10-27 |
| sampleTitles | ["Account Executive, Enterprise", "Sales Development Representative"] |
| departments | ["Sales", "Customer Success"] |
| locations | ["New York, NY", "London"] |
| countries | ["United States", "United Kingdom"] |
| remoteShare | 0.25 |
| sampleJobUrls | three direct links to the newest matching jobs |
| emails | ["hello@figma.com"], addresses on the company's own domain first |
| phones | ["+1 415 555 0100"] |
https://www.linkedin.com/company/figma | |
| contactPage | the contact or about page that was read |
| contactChecked | true when the website was read |
| asOf | 2026-10-28 |
{"company": "Weekday","slug": "weekday-1","ats": "workable","careersUrl": "https://apply.workable.com/weekday-1/","website": "https://weekday.works","newJobs": 217,"openJobs": 839,"hiringVelocity": 0.259,"latestPostedAt": "2026-10-27","sampleTitles": ["AEM Developer", "AI Manager", "AI ML Engineer (Senior)"],"departments": ["AI Training"],"locations": ["Bengaluru, Karnataka, India", "United States"],"countries": ["India", "United States", "Canada"],"remoteShare": 0.45,"emails": ["founders@weekday.works"],"phones": ["+15612508998"],"linkedin": "https://www.linkedin.com/in/sanjaypriya","contactPage": "https://www.weekday.works/contact","contactChecked": true,"asOf": "2026-10-27"}
Input
| Field | Type | Default | Description |
|---|---|---|---|
| keywords | array | [] | Only count new jobs whose title or department contains one of these words |
| country | string | empty | Only count new jobs in this country, for example Germany |
| platforms | array | [] | Limit to these ATS systems, for example ["greenhouse", "lever"] |
| daysBack | integer | 7 | A job counts as new when posted within this many days |
| minNewJobs | integer | 1 | A company becomes a lead at this many new jobs |
| includeContacts | boolean | true | Read the company website for email, phone and LinkedIn |
| contactPages | integer | 3 | Pages of the company site to read |
| maxCompanies | integer | 300 | Career sites to check in this run, companies with a known website first |
| maxLeads | integer | 100 | Stop after this many leads, 0 for no limit |
| companyFilter | string | empty | Only companies whose name contains this text |
| companies | array | [] | Check only these slugs, overrides the filters |
How it works
The Actor carries an index of 6,651 companies and the ATS each one uses, built from public career sites. For every company it reads the public job-board API of that ATS (no login, no scraping of HTML), keeps the jobs posted inside your window, applies your keyword and country filters, and skips the company when the count is below your threshold. For the companies that remain and have a known website, it reads the home, contact, about and imprint pages for email addresses, phone numbers and the LinkedIn page, the same way the Website Contact Scraper does. Companies with a known website are checked first, so a run with a small maxCompanies still returns leads with contact details.
Cost example
Pay per lead returned: $0.02 per company ($20 per 1,000), nothing for a company without new jobs and nothing for an empty run. On 27 October 2026 a test over 40 companies with a 14 day window returned 8 leads, 6 of them with an email address or LinkedIn page, for 16 cents. A daily run over 300 companies with minNewJobs 3 typically returns 10 to 30 leads, so a month of daily hiring leads for one sector costs in the order of 6 to 18 dollars. Compare that with sales intelligence tools that start at several hundred dollars per month for the same signal.
Use with AI agents and automation
Every row is flat JSON, so it drops straight into a CRM import, a Google Sheet, Zapier or Make. For an AI agent the Actor is available through the Apify MCP server: ask for "companies that posted sales jobs in Germany this week with an email address" and the agent runs it with keywords, country and includeContacts set.
Limits
- The posted date comes from the ATS. Personio does not publish one, so Personio companies only appear when
daysBackcovers the whole board, and Workday dates are read from the posting text. - Contact details are read from the public company website. For 1,892 of the 6,651 companies in the index the website is known. The other companies are checked for new jobs too, but their leads come without contacts and
contactCheckedisfalse. Companies with a known website are always checked first. - Email addresses are what the company publishes on its own site: general addresses such as hello@, jobs@ or press@, not personal addresses of named people.
- One run checks at most the number of companies you set in
maxCompanies. The whole index of 6,651 companies takes about an hour and is meant for a weekly schedule.
Data source and compliance
Job data comes from the public job-board APIs of the ATS vendors, the same endpoints a company's own careers page calls. Contact details come from pages the company publishes on its own website. Nothing is logged in, no personal profiles are read and no CAPTCHAs are bypassed. Use the addresses in line with the applicable direct-marketing rules of your country.
FAQ
Is this a job scraper? No. The job scrapers of DataSignals Lab return every job. This Actor returns companies, one row each, with the count and a sample of their new jobs. Use it to find who is hiring, then use a job scraper if you need every posting.
Why does a company I know is hiring not appear? Either it posted fewer jobs in the window than minNewJobs, its ATS is not among the eleven supported, or it is not in the index yet. Add it under companies with its slug to check it directly.
Can I get only companies new to my list? Run it on a schedule and de-duplicate on slug in your sheet or CRM. Each run returns the current state, so a company that keeps posting stays in the results.
Are the emails verified? They are read from the company website and sorted with the company's own domain first. They are not sent a test message.
How fresh is the data? Each run reads the job boards live. The company index is rebuilt monthly.