ATS Job Board & Hiring Signals (Greenhouse, Lever, Ashby)
Pricing
$2.50 / 1,000 job posting extracteds
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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📈 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 Provider | Typical Customers | Supported Features |
|---|---|---|
| Greenhouse | Stripe, Figma, Airbnb, Databricks, DoorDash | Full department mapping, multi-office locations |
| Lever | Palantir, Spotify, Netflix, Shopify | Team hierarchy, commitment/workplace status |
| Ashby | Ramp, OpenAI ecosystem, Notion, Linear, Vercel | Explicit compensation tiers (min/max salary, currency) |
| Workable | Hugging Face, BeReal, thousands of mid-market scaleups | City/State/Country resolution, remote flags |
| Recruitee | bunq, European scaleups & fast-growing startups | Structured 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
| Parameter | Type | Default | Description |
|---|---|---|---|
companies | array | Stripe, Palantir, Ramp, Hugging Face | List of career URLs, ats:slug prefixes, or plain company slugs. |
includeJobDetails | boolean | true | Whether to output individual normalized job postings in the dataset. |
includeDescription | boolean | false | Fetch and clean full HTML job descriptions into human-readable plain text. |
trackDeltas | boolean | true | Compare open jobs against previous runs to detect added jobs and net growth. |
stateNamespace | string | "default" | Isolate tracking snapshots across different portfolios (e.g. tech_portfolio_q4). |
maxConcurrency | integer | 5 | Number 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
| Event | Price (USD) | Description |
|---|---|---|
Job Extracted (job) | $0.0025 | Charged per normalized job posting extracted ($2.50 per 1,000 jobs). |
Company Summary (companySignals) | FREE | Portfolio 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.