ATS Hiring Signals — Job Board Lead Finder (7 ATS incl. Workday)

Job board scraper & B2B lead finder for Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Workday and Personio — company hiring signals, tech stack and scored leads.

Turn job postings into qualified B2B leads. Companies that are hiring are companies that are buying — new tools, new services, new vendors. This Actor scans public Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Workday & Personio job boards and turns them into structured, scored hiring signals: which companies are growing, in which teams, how fast, and around which technologies.

No LinkedIn cookies. No anti-bot fights. No stale databases — data comes straight from each company's live job board API, so it is as fresh as the company's own careers page.

💥 Composite intent: hiring + funding in one score

For every company with a hiring signal, the Actor checks SEC EDGAR: did this company file a Form D (raise capital) in the last 12 months? The result lands in funding_check, and composite_intent_score adds +15 on top of the hiring score.

A company that is hiring for your keywords AND recently raised money is the hottest B2B lead there is — budget confirmed twice, from two independent official sources. Sort by composite_intent_score and start at the top. (Toggle: checkFunding, on by default.)

🔍 No company list? Discover companies

You don't need to bring a list at all. Enable discoverCompanies and the Actor samples companies from its built-in directory of ~8,800 real job boards (harvested from the Common Crawl web index) across Greenhouse, Ashby, Workable, SmartRecruiters, Personio and Lever — then scans them against your keywords and returns only the companies that are actually hiring for what you sell.

"Find me companies hiring Python engineers right now" becomes a single run with two input fields:

{ "discoverCompanies": ["greenhouse", "ashby"], "discoverLimit": 200, "keywords": ["python"], "outputMode": "flat_leads" }

Every run samples randomly, so scheduled runs keep surfacing fresh companies. Combine with rolePresets and locationFilter to zero in on your exact ICP.

Who is this for?

• B2B sales & SDR teams — a company hiring 5 SDRs is buying sales tooling; a company hiring DevOps engineers is buying infrastructure. Build outreach lists from intent, not directories.
• Recruiting & staffing agencies — spot companies with hiring spikes before your competitors call them.
• Dev-tool & SaaS vendors — filter by tech keywords (kubernetes, snowflake, hubspot…) to find companies whose job descriptions mention your ecosystem.
• Investors & analysts — headcount growth by department is one of the strongest public signals of company trajectory.

What you get

Two record types (choose either or both in outputMode):

company_signal — one aggregated lead record per company:

{
  "type": "company_signal",
  "company": "gitlab",
  "ats": "greenhouse",
  "board_url": "https://boards.greenhouse.io/gitlab",
  "total_open_jobs": 206,
  "matched_jobs": 56,
  "posted_last_30_days": 33,
  "newest_posting_at": "2026-08-20T17:35:39-04:00",
  "signal_score": 85,
  "top_departments": [{ "name": "AI Engineering", "jobs": 5 }],
  "top_locations": [{ "name": "Remote, United States", "jobs": 11 }],
  "keyword_hits": [{ "keyword": "kubernetes", "jobs": 21 }],
  "top_technologies": [{ "name": "Python", "jobs": 31 }, { "name": "AWS", "jobs": 24 }],
  "seniority_mix": { "senior": 21, "mid": 30, "vp_director": 2 },
  "leadership_hiring": 2,
  "remote_share_pct": 64,
  "stale_jobs": 4,
  "salary_stats": { "jobs_with_salary": 12, "min": 110000, "median": 150000, "max": 210000, "currency_hint": "$" },
  "new_technologies": ["Kafka", "Snowflake"],
  "company_domain_guess": "acme.com",
  "hiring_history": [{ "ts": "2026-08-01T00:00:00Z", "matched": 12, "total": 80 }],
  "trend": { "matched_jobs_change": 5, "total_jobs_change": 9, "previous_run_at": "…" },
  "sample_jobs": [{ "title": "Senior Backend Engineer", "url": "…" }]
}

job — individual matched postings with title, department, location, posting date, URL, matched keywords, plus per-job enrichment:

• seniority — junior / mid / senior / manager_lead / vp_director / c_level (parsed from title)
• workplace — remote / hybrid / onsite_or_unspecified
• salary_detected — salary range found in the description text (e.g. $152,800 - $190,000)
• tech_stack — technologies detected in the posting
• days_open / stale — how long the posting has been open; stale: true (45+ days) flags likely evergreen/ghost jobs — a weaker buying signal
• compensation — publisher-provided range (Ashby boards)

The signal_score (0–100)

A transparent heuristic — no black box:

Component	Max points	Meaning
Matching roles open	40	Volume of hiring around your keywords
Share of matching roles	20	How focused the hiring is on your niche
Freshness of newest posting	20	Recency = live budget
Postings in last 30 days	20	Hiring velocity

Sort by signal_score descending and call the top of the list first. Watch two more fields: new_technologies — technologies appearing in a company's postings for the first time between runs (a company that just started mentioning Kafka is choosing Kafka tooling right now), and company_domain_guess — the likely company website extracted from posting texts, your bridge from signal to outreach. Two extra signals worth watching: leadership_hiring > 0 (a new VP or Head-of means new budgets and new vendor decisions) and a positive trend.matched_jobs_change between scheduled runs (acceleration = urgency).

Input

Field	Description
discoverCompanies + discoverLimit	Zero-input discovery: sample from the built-in ~8,800-company job-board directory and return only companies hiring for your keywords
companyNames	Auto-discovery: paste plain company names (Blueground, Acme Corp) — the Actor generates likely slugs and probes all five ATS providers. No need to know board URLs
boards	Board URLs (boards.greenhouse.io/gitlab, jobs.lever.co/spotify, jobs.ashbyhq.com/ramp, apply.workable.com/blueground, careers.smartrecruiters.com/ServiceNow) or bare company slugs — slugs are probed against all supported providers automatically
keywords	Match against title, department, location and full description (golang, SDR, salesforce…). Empty = all jobs
keywordsMode	any (broad) or all — require every keyword, e.g. python AND aws (precise targeting)
searchDescriptions	Also search inside full job descriptions — the way to detect tech stacks
locationFilter	e.g. remote, berlin, united states
postedWithinDays	Only jobs posted in the last N days — fresh postings are the strongest signal
rolePresets	Curated keyword bundles (Sales, Engineering, AI/ML, Leadership…) — pick roles instead of inventing keywords
excludeStale	Drop postings open 45+ days (evergreen/ghost jobs)
extractTechStack	Detect ~120 technologies (languages, clouds, SaaS tools) per job → tech_stack field + top_technologies per company. On by default, no extra cost
onlyNewJobs	Delta mode: remembers seen jobs between runs and outputs only NEW postings. Schedule daily → get only fresh signals into Slack/n8n/email
outputMode	companies (lead list), jobs, both, or flat_leads — one flat row per company, ready for CSV/Sheets/CRM import

Where do I get board slugs?

Any company careers page hosted on boards.greenhouse.io/<slug>, jobs.lever.co/<slug>, jobs.ashbyhq.com/<slug>, apply.workable.com/<slug> or careers.smartrecruiters.com/<Company> — the slug is right in the URL. Quick ways to build a list:

• Google: site:boards.greenhouse.io "backend", site:jobs.lever.co "fintech", site:apply.workable.com, site:careers.smartrecruiters.com
• Your existing account list / CRM — paste company slugs and let the Actor probe all supported providers
• Public company directories (YC companies, industry lists) — most startups use one of these ATS

Why this beats LinkedIn scraping

	This Actor	LinkedIn scrapers
Data source	Company's own live job board API	Scraped HTML behind anti-bot
Freshness	Real-time	Hours–days, breaks often
Cookies / accounts	None needed	Often require session cookies
Full descriptions	Yes, including tech stack	Frequently truncated
Reliability	Stable public JSON APIs	Breaks on every layout change

Integrations

Works with all Apify integrations out of the box: export to Google Sheets, Airtable, HubSpot, Zapier, Make, n8n, or fetch results via the Apify API. Schedule it daily and diff newest_posting_at to catch new signals the morning they appear.

FAQ

Is this legal? The Actor reads the same public job-board APIs that power the companies' own careers pages — data companies intentionally publish to attract applicants. No login, no bypassing of access controls.

A company slug returns nothing? The company either uses a different ATS (iCIMS, Oracle HCM — coming in future versions) or has a custom careers page. The Actor logs a warning and continues with the rest.

How many boards can I scan per run? Hundreds — boards are processed concurrently. For thousands, split into several runs.

Something broken or missing a feature? Open an issue on the Actor's Issues tab — I typically respond within 1–2 business days.