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Multi-ATS Hiring Intent Monitor

Pricing

from $1.00 / 1,000 hiring-intent leads

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Multi-ATS Hiring Intent Monitor

Multi-ATS Hiring Intent Monitor

Monitor public ATS job boards and turn hiring activity into B2B buying-intent signals.

Pricing

from $1.00 / 1,000 hiring-intent leads

Rating

0.0

(0)

Developer

Tony Starky

Tony Starky

Maintained by Community

Actor stats

0

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2

Total users

1

Monthly active users

a day ago

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Monitor public ATS job boards and convert hiring activity into structured B2B buying-intent signals.

This Actor is designed for sales teams, agencies, recruiters, market researchers, and founders who want to understand which companies are actively investing in specific functions such as AI, data, security, sales, marketing, customer support, engineering, finance, or HR.

What it does

The Actor scans public job boards from supported Applicant Tracking Systems and returns scored records that explain what each job posting may signal.

Supported sources in v1:

  • Greenhouse public boards
  • Lever public postings
  • Ashby public job boards

Why this is useful

Raw job scrapers return postings. This Actor turns postings into signals:

  • hiring category
  • matched buying-intent keywords
  • seniority level
  • intent score
  • suggested seller angle

Examples:

  • A company hiring many security/compliance roles may be evaluating security, GRC, or privacy tools.
  • A company hiring data engineers and analytics roles may need data stack, ETL, BI, or warehouse tools.
  • A company hiring customer support and implementation roles may be scaling customer operations.
  • A company hiring SDRs/AEs may be expanding outbound sales capacity.

Input

{
"atsBoards": [
{ "ats": "greenhouse", "company": "Stripe", "token": "stripe" },
{ "ats": "greenhouse", "company": "Airbnb", "token": "airbnb" },
{ "ats": "ashby", "company": "Perplexity", "token": "perplexity" }
],
"targetKeywords": ["sales", "security", "data", "ai", "revops"],
"minIntentScore": 35,
"maxJobsPerSource": 250,
"maxTotalResults": 1000,
"maxConcurrency": 5,
"requestTimeoutSecs": 30,
"intentKeywordMap": {}
}

atsBoards

Each board must include:

FieldRequiredDescription
atsyesgreenhouse, lever, or ashby
companyyesHuman-readable company name for output
tokenyes unless url is usedATS board slug/token
urloptionalDirect API URL or supported public board URL

Examples:

{ "ats": "greenhouse", "company": "Stripe", "token": "stripe" }
{ "ats": "lever", "company": "ExampleCo", "token": "exampleco" }
{ "ats": "ashby", "company": "Perplexity", "token": "perplexity" }

Custom scoring

Add your own category keywords with intentKeywordMap:

{
"intentKeywordMap": {
"healthcare_it": ["epic", "hl7", "hipaa", "clinical data"],
"warehouse_ops": ["warehouse", "fulfillment", "inventory manager"]
}
}

Output

Each dataset item includes:

{
"sourceAts": "greenhouse",
"company": "Stripe",
"title": "Account Executive, AI Sales",
"department": "Sales",
"location": "New York, NY",
"jobUrl": "https://stripe.com/jobs/search?gh_jid=...",
"jobId": "123456",
"publishedAt": "2026-07-06T...Z",
"intentCategories": ["ai_ml", "sales_growth"],
"matchedKeywords": ["account executive", "artificial intelligence", "sales"],
"targetKeywordMatches": ["sales", "ai"],
"seniority": "unknown",
"intentScore": 55,
"suggestedSalesAngle": "AI/ML tooling, model ops, data infrastructure, or automation vendors may have a fit.",
"scrapedAt": "2026-07-06T15:30:00Z"
}

Built-in categories

  • ai_ml
  • data
  • security
  • sales_growth
  • marketing_growth
  • customer_support
  • engineering
  • finance_ops
  • hr_recruiting

Notes and responsible use

  • This Actor uses public job-board data only.
  • It does not scrape private profiles or login-only information.
  • It does not enrich personal contact details.
  • Treat scores as signals, not facts. Review source postings before making business decisions.

Limitations

  • ATS APIs and public boards can change.
  • Workday and custom career pages are not supported in v1.
  • Some boards may be empty, private, renamed, or blocked.
  • Scoring is rule-based in v1; future versions may add optional AI summaries.