ATS Hiring Intent - Buying Signals (Greenhouse + 4 ATSes)

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What does ATS Hiring Intent do?

ATS Hiring Intent aggregates open job postings across five major applicant tracking systems — Greenhouse, Lever, Ashby, SmartRecruiters, and Workday — into one normalized feed and turns the raw job data into per-company buying signals ready for a sales / RevOps pipeline.

Give it a list of company domains. It auto-detects each company's ATS, pulls every open role, normalizes function and seniority across platforms, and (in signals mode) runs each role through Gemini 2.5 Flash to extract intent tags (expanding-sales, evaluating-CRM, series-B-build, platform-build-out, …) and infer the specific vendors / tech stack the company is buying or building on. One composite CompanySignal per refresh tells your reps which prospects just lit up — Stripe is expanding-sales (8/8 AE roles posted, AI-customer focus, vendor hypothesis: OpenAI, Anthropic, NVIDIA).

Zero anti-bot. Zero proxies needed by default. No login. Every data source is an official public ATS endpoint. Replaces $99-$15K/seat tools (Apollo, ZoomInfo, Bombora, Cognism) on the hiring-signal job-to-be-done.

Why use ATS Hiring Intent?

• B2B sales / SDRs — find every prospect actively hiring for a role that signals they're buying your product. Hiring 5 DevOps + 2 Platform Engineers = evaluating IaC + observability tooling. Hiring a VP Sales + 3 AEs = expanding GTM motion. Apollo only counts headcount; this actor explains what they're buying.
• RevOps & GTM intelligence — score your ICP list weekly, build prospect lists from buying-intent tags, replace your stale $1-5K/mo intent-data line item.
• Recruiters & talent intelligence — track hiring velocity at competitors, see which functions/seniorities they're loading up on.
• VC / corporate development — detect Series A → C ramp signals, exec hires, geographic expansion. Headcount-delta tracking with KV-checkpointed monitoring.
• Founders doing competitive intel — type a competitor's domain, see every open role, every detected vendor, every team they're scaling.
• AI / data teams — a clean 30+ field unified ATS schema across 5 platforms with deterministic taxonomy normalization. Drop straight into a vector store or BI tool.

How to use

1. Pick a mode:
   • discover — given domains, detect which ATS each one uses (cheap onboarding pass).
   • jobs — fetch normalized jobs only, no AI.
   • signals — jobs + Gemini intent tags + per-company composite signal (the value tier).
   • monitor — same as signals but only emits deltas vs. the previous run. Best with a daily/weekly schedule.
2. Provide either companyDomains (list of domains — auto-detected) or atsTargets (direct ATS slugs like greenhouse:stripe, lever:palantir, ashby:linear, smartrecruiters:visa, workday:nvidia.wd5/NVIDIAExternalCareerSite).
3. Optionally filter by keywordFilter, functionFilter (engineering / sales / …), seniorityFilter, locationFilter, remoteOnly, postedWithinDays.
4. Run. Results land in the default dataset with a type field discriminator: job, company_signal, ats_discovery, or change_event.
5. Export as JSON, CSV, or Excel from the Apify Console — or pull via API / webhook.
6. Want weekly intent updates? Set mode to monitor and schedule the actor. Subsequent runs only emit new/changed/closed roles + the latest composite signal.

Free trial: the first 10 chargeable events of each run are on the house — enough to validate output shape and signal quality on a single small run before committing budget.

Input examples

1. Discover which ATS your top 5 prospects use.

{
"mode":"discover",
"companyDomains":["stripe.com","linear.app","notion.so","vercel.com","anthropic.com"]
}

2. Pull every open engineering role at 3 companies, no AI.

{
"mode":"jobs",
"companyDomains":["stripe.com","anthropic.com","linear.app"],
"functionFilter":["engineering"],
"seniorityFilter":["senior","lead","principal"],
"maxJobsPerCompany":100
}

3. Generate weekly buying signals across a 50-company prospect list.

{
"mode":"signals",
"companyDomains":[
"stripe.com","notion.so","linear.app","vercel.com","anthropic.com"
],
"maxJobsPerCompany":50,
"intentBatchSize":20,
"postedWithinDays":30
}

4. Monitor 200 companies — emit deltas only on the second-and-subsequent run. (Schedule daily.)

{
"mode":"monitor",
"companyDomains":["acme.com","..."],
"maxJobsPerCompany":100,
"remoteOnly":false
}

5. Skip auto-detection — pass direct ATS targets.

{
"mode":"signals",
"atsTargets":[
"greenhouse:stripe",
"lever:palantir",
"ashby:linear",
"smartrecruiters:visa",
"workday:nvidia.wd5/NVIDIAExternalCareerSite"
]
}

Output

Each row has a type discriminator. Sample enriched job record:

{
"type":"job",
"sourceId":"d3bc1ced-3ce4-4086-a050-555055dbb1ff",
"company":"Linear",
"domain":"linear.app",
"atsPlatform":"ashby",
"atsSlug":"Linear",
"title":"Senior / Staff Fullstack Engineer",
"function":"engineering",
"seniority":"senior",
"department":"Product",
"team":"Engineering",
"location":"Europe",
"isRemote":true,
"employmentType":"FullTime",
"postedDate":"2026-04-21T20:13:45.158+00:00",
"applyUrl":"https://jobs.ashbyhq.com/linear/d3bc1ced-3ce4-4086-a050-555055dbb1ff/application",
"intentTags":["platform-build-out","going-international"],
"vendorSignals":["TypeScript","React","GraphQL","PostgreSQL","Redis","Kubernetes"],
"intentSummary":"This role indicates a focus on expanding the core product platform and international growth.",
"enrichmentLevel":"enriched"
}

Sample company_signal record:

{
"type":"company_signal",
"company":"Stripe",
"atsPlatform":"greenhouse",
"atsSlug":"stripe",
"signal":"expanding-sales",
"confidence":1.0,
"evidence":"8/8 open roles match this signal. Examples: Account Executive AI Sales, Account Executive AI Startups, Account Executive Commercial.",
"vendorHypothesis":["Stripe","OpenAI","Anthropic","NVIDIA","Shopify"],
"openRolesCount":8,
"newRolesLast30d":8,
"topFunctions":[{"function":"sales","count":8}],
"secondarySignals":[
{"signal":"series-B-build","confidence":0.66,"evidence":"3/8 roles tagged."}
]
}

Data fields (selected)

How much does it cost?

First 10 chargeable events of every run are free (built-in trial counter — see the run log).

Typical run costs

Comparison: Apollo Pro $99/seat/mo (no signals), ZoomInfo + Bombora $3-5K/mo, Clay Growth $1.5-2.5K/mo, Cognism + intent ~$2K/mo. The 50-company weekly run above costs ~$80/mo — same job-to-be-done, ~5-25× cheaper than every comparable.

Tips & advanced options

• monitor mode is built for scheduling. Set up an Apify schedule (daily or weekly), feed in your prospect list, and only pay for deltas + the latest composite signal. The first run charges full freight (everything is "new"); subsequent runs are deltas-only.
• Workday note — Workday tenants live at tenant.wd{N}.myworkdayjobs.com where N is 1-12. Use workday:tenant.wdN/SiteSegment form. Find the wdN from any URL on their careers page. Some Workday tenants throttle aggressive scraping — switch to RESIDENTIAL proxy if you see 403s.
• Auto-detection covers ~25K-30K companies out of the box (all Greenhouse, Lever, Ashby, SmartRecruiters customers + most Workday F500). For non-detectable domains, pass a direct atsTargets entry and the actor skips resolution.
• Filter aggressively to control budget. functionFilter, seniorityFilter, locationFilter, remoteOnly, postedWithinDays all run before Gemini enrichment, so you only pay enrichment cost on the roles that matter.
• intentBatchSize = 20 is the cost-vs-latency sweet spot. Larger batches cost less per job but increase end-to-end latency.
• Vendor signals are tools/tech mentioned in JDs, not necessarily companies the prospect is buying. A role mentioning "Salesforce" usually means they use Salesforce — sometimes it means they sell to Salesforce customers. Cross-check with intentSummary for context.
• Cross-ATS dedup — if the same company is somehow listed twice (rare), dedup by (atsPlatform, atsSlug) downstream.

Legal & ToS

• Every ATS endpoint used by this actor is publicly published and intended for third-party career-site / aggregator use. No login or API key required.
• Greenhouse Job Board API, Lever Postings API, Ashby Public Job Posting API, and SmartRecruiters Posting API are all explicitly documented as public — see developers.greenhouse.io/job-board, github.com/lever/postings-api, developers.ashbyhq.com/docs/public-job-posting-api, developers.smartrecruiters.com/docs/posting-api.
• Workday CXS endpoints serve the same data as the public-facing careers page; we paginate at default 20-per-page with gentle 150ms pacing.
• The actor is intended for sales intelligence, recruiting research, and market analysis. Do not use the data to discriminate, harass, or auto-apply at scale.
• Job descriptions are © the posting employer. We store and re-emit them verbatim for analysis. Do not republish full JDs as your own content.

FAQ & support

Q: Which ATSes are supported in v1? A: Greenhouse, Lever, Ashby, SmartRecruiters, Workday. BambooHR, Recruitee, Teamtailor, Personio in v1.1.

Q: What's the difference between signals and monitor? A: signals runs the full pipeline every time. monitor does the same but auto-enables incremental mode — on subsequent runs you only see new / changed / closed roles, plus the refreshed company-signal record. Use monitor for scheduled subscriptions.

Q: Why didn't my domain auto-detect? A: ~10-15% of companies use custom careers pages that don't link to a known ATS host. Pass an atsTargets entry directly. Also try the discover mode in isolation — it tells you what was found and what failed.

Q: Can I get LinkedIn / Indeed jobs? A: No. This actor only scrapes companies' own ATS career pages. LinkedIn aggregations are heavily anti-botted and not worth the proxy cost. The data here is fresher anyway — it's the source ATS, not a 2nd-hand index.

Q: Will the intent classifier hallucinate tags? A: The classifier is constrained to a fixed 22-tag taxonomy and instructed to return ["unknown"] if uncertain. We've validated against ~100 real postings; false-positive rate is < 5%. If you see noise, lower the intentBatchSize to 5-8 (smaller context = sharper inference).

Q: How do I report bugs? A: Open an issue on the actor's Apify page. Include the input JSON and the offending record's sourceId + applyUrl.

Built with TypeScript on the Apify SDK. Zero proxies, zero anti-bot, native fetch. No headless browser, no CAPTCHA.