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ATS Job Board & Hiring Signals (Greenhouse, Lever, Ashby)

Pricing

$2.50 / 1,000 job posting extracteds

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ATS Job Board & Hiring Signals (Greenhouse, Lever, Ashby)

ATS Job Board & Hiring Signals (Greenhouse, Lever, Ashby)

Scrape open jobs and track headcount growth signals across Greenhouse, Lever, Ashby, Workable, and Recruitee. Built for PE/VC, Hedge Funds, M&A, and Recruiters.

Pricing

$2.50 / 1,000 job posting extracteds

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Cedric poma

Cedric poma

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📈 ATS Job Board & Hiring Signals API (Greenhouse, Lever, Ashby, Workable, Recruitee)

The fastest, cleanest Alternative Data feed for Private Equity, Venture Capital, Hedge Funds, M&A Analysts, and Executive Recruiters.
Monitor portfolio company headcount velocity, detect hiring freezes or aggressive expansions, and pull normalized open job postings with zero anti-bot friction.


⚡ Why Use This Actor?

Hiring trajectory is the single highest-fidelity leading indicator of private company revenue growth, product pivots, and operational health.

While competitors charge $12.00 per 1,000 jobs on bloated headless browsers, ATS Hiring Signals queries the underlying public career APIs directly:

  • 🚀 10x Faster: Processes 1,000+ postings in seconds using lightweight asynchronous HTTP requests.
  • 💰 80% Lower Cost: Priced at $2.50 / 1,000 jobs under Pay-Per-Event (pay only for what you extract).
  • 🧠 Built-in Delta Tracking: Automatically computes run-to-run changes (isNew, newJobs, removedJobs, netChange) without needing an external database.
  • 🛡️ 100% Stable: Zero Cloudflare / CAPTCHA blocks because it connects to authorized public career board endpoints.

🏢 Supported ATS Platforms

ATS ProviderTypical CustomersSupported Features
GreenhouseStripe, Figma, Airbnb, Databricks, DoorDashFull department mapping, multi-office locations
LeverPalantir, Spotify, Netflix, ShopifyTeam hierarchy, commitment/workplace status
AshbyRamp, OpenAI ecosystem, Notion, Linear, VercelExplicit compensation tiers (min/max salary, currency)
WorkableHugging Face, BeReal, thousands of mid-market scaleupsCity/State/Country resolution, remote flags
Recruiteebunq, European scaleups & fast-growing startupsStructured salary data, updated timestamps

💡 Key Use Cases

1. Private Equity & Venture Capital Due Diligence

  • Headcount Velocity: Track monthly and quarterly hiring momentum across target companies.
  • Strategic Pivots: Detect sudden hiring surges in AI/ML, Enterprise Sales, or international regions before public announcements.
  • Hiring Freeze Alert: Automatically spot when open requisitions drop sharply, signaling budget cuts or slowing growth.

2. Hedge Funds & Public Equity

  • Use hiring signals as Alternative Data to forecast quarterly OpEx and top-line performance for pre-IPO and newly public tech leaders.

3. Executive Search & Tech Recruiters

  • Monitor hundreds of high-growth companies simultaneously.
  • Set up automated Apify webhooks or schedules to receive instant alerts the moment a target company opens an Executive / VP role.

📥 Input Parameters

ParameterTypeDefaultDescription
companiesarrayStripe, Palantir, Ramp, Hugging FaceList of career URLs, ats:slug prefixes, or plain company slugs.
includeJobDetailsbooleantrueWhether to output individual normalized job postings in the dataset.
includeDescriptionbooleanfalseFetch and clean full HTML job descriptions into human-readable plain text.
trackDeltasbooleantrueCompare open jobs against previous runs to detect added jobs and net growth.
stateNamespacestring"default"Isolate tracking snapshots across different portfolios (e.g. tech_portfolio_q4).
maxConcurrencyinteger5Number of simultaneous company requests (1 to 20).

Example Input:

{
"companies": [
"boards.greenhouse.io/stripe",
"jobs.lever.co/palantir",
"jobs.ashbyhq.com/ramp",
"apply.workable.com/huggingface",
"bunq.recruitee.com"
],
"includeJobDetails": true,
"includeDescription": false,
"trackDeltas": true,
"stateNamespace": "fintech_watch"
}

📤 Output Formats

The Actor pushes two complementary record types into your dataset:

1. Company Hiring Signals Summary (recordType: "companySignals")

{
"recordType": "companySignals",
"ats": "greenhouse",
"companySlug": "stripe",
"companyName": "Stripe",
"totalOpenJobs": 749,
"isBaseline": false,
"previousSnapshotAt": "2026-10-26T08:00:00Z",
"previousTotal": 720,
"newJobs": 35,
"removedJobs": 6,
"netChange": 29,
"postedLast7Days": 14,
"postedLast30Days": 58,
"medianJobAgeDays": 42.5,
"remoteShare": 0.38,
"salaryDisclosedShare": 0.85,
"departmentsCount": 18,
"topDepartments": [
{ "name": "Engineering", "count": 312 },
{ "name": "Sales & Account Management", "count": 145 },
{ "name": "Product", "count": 68 }
],
"topLocations": [
{ "name": "San Francisco, CA", "count": 180 },
{ "name": "Remote - US", "count": 140 },
{ "name": "Dublin, Ireland", "count": 95 }
],
"scrapedAt": "2026-11-02T12:00:00Z"
}

2. Normalized Job Posting (recordType: "job")

{
"recordType": "job",
"ats": "ashby",
"companySlug": "ramp",
"companyName": "Ramp",
"jobId": "8f4e21a0-b5c3",
"title": "Senior Backend Engineer - Financial Infrastructure",
"department": "Engineering",
"team": "Core Platform",
"location": "New York, NY",
"country": "US",
"workplaceType": "hybrid",
"employmentType": "Full-Time",
"salaryMin": 185000,
"salaryMax": 230000,
"salaryCurrency": "USD",
"salaryInterval": "year",
"salaryText": "$185,000 - $230,000 USD",
"isNew": true,
"firstSeenAt": "2026-11-02T12:00:00Z",
"publishedAt": "2026-11-01T14:22:00Z",
"url": "https://jobs.ashbyhq.com/ramp/8f4e21a0-b5c3",
"scrapedAt": "2026-11-02T12:00:00Z"
}

📊 Pay-Per-Event (PPE) Pricing

EventPrice (USD)Description
Job Extracted (job)$0.0025Charged per normalized job posting extracted ($2.50 per 1,000 jobs).
Company Summary (companySignals)FREEPortfolio aggregate metrics and delta tracking are included at no extra cost.

🛠️ Integration & Automation

  • Apify API & Webhooks: Trigger runs on a weekly cron schedule and stream new jobs straight to Slack, Airtable, or Snowflake.
  • Python / Node.js SDK: Integrate seamlessly into your quantitative backtesting pipelines.
  • Export Formats: One-click download as JSON, CSV, Excel, or NDJSON.