💼 HireLead AI — Multi-ATS Job Board & Tech Hiring Velocity Scraper

Extract verified job postings, B2B hiring intent signals, salary transparency, and internal tech stacks from Greenhouse, Lever, Ashby, and Workable in seconds — with 0 browser overhead.

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⚡ What Does HireLead AI Do?

HireLead AI is an ultra-fast, multi-ATS intelligence engine that bypasses slow and fragile job scraping approaches. By querying official, public, unblocked career APIs directly:

1. Multi-ATS Unified Coverage: Scrapes Greenhouse, Lever, Ashby, and Workable under one simple input.
2. Auto-Detect ATS: Paste a company slug (stripe), website domain (linear.app), or career page URL (https://jobs.lever.co/spotify) — HireLead automatically detects and probes the right ATS in milliseconds.
3. Internal Tech Stack Extraction: Automatically parses job descriptions for 250+ technologies & tools (Kubernetes, Snowflake, Salesforce, React, AWS, Python, Datadog, etc.).
4. Salary Normalization: Standardizes compensation ranges (minimum, maximum, currency, payment interval).
5. Department & Remote Status: Classifies roles into standardized departments (Engineering, Sales, Marketing, Product, Operations) and workplace types (Remote, Hybrid, On-site).
6. B2B Buying Signals: Identifies aggressive headcount expansion in real-time before competitors notice on LinkedIn.

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🎯 Why Choose HireLead AI Over LinkedIn/Indeed Scrapers?

Feature	Generic LinkedIn / Indeed Scrapers	HireLead AI
Speed	10–20 jobs / min (Heavy headless browser)	1,000–5,000 jobs in under 30 seconds
Compute Memory	4,096 MB RAM (High compute cost)	1,024 MB RAM ($0.0001 per company)
Anti-Bot Failure Rate	40%–60% (Cloudflare, CAPTCHAs, login walls)	0% (Direct public ATS career REST APIs)
Tech Stack Extraction	❌ None (Raw text dump)	✅ 250+ tech tools automatically tagged
Salary Normalization	❌ Messy text strings	✅ Structured min/max/currency/interval
Pricing Model	Expensive Monthly Subscriptions	Pay-Per-Event ($0.002 / extracted job)

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🚀 How It Works

graph TD
    A[Company Slug / Domain / Career URL] --> B[Smart ATS Input Resolver]
    B --> C{Target Platform}
    C -->|Greenhouse| D[Greenhouse Boards API]
    C -->|Lever| E[Lever Postings API]
    C -->|Ashby| F[Ashby Job Board API]
    C -->|Workable| G[Workable Accounts API]
    C -->|Auto-Detect| H[Parallel ATS Probe]
    H --> D
    H --> E
    H --> F
    H --> G
    D --> I[Clean Job Normalizer]
    E --> I
    F --> I
    G --> I
    I --> J[Tech Stack Scanner: 250+ Tools]
    I --> K[Salary Transparency Parser]
    I --> L[Department & Remote Classifier]
    J --> M[Structured Output Dataset: JSON / CSV / Excel]
    K --> M
    L --> M

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📥 Input Configuration

Parameter	Type	Default	Description
targetCompany	select	"all_featured"	Curated dropdown of top tech companies across Greenhouse, Lever, Ashby, and Workable. Guaranteed 100% valid inputs. Select "all_featured" to scrape across all ATS boards simultaneously!
atsPlatform	select	"auto"	Auto-Detect, Greenhouse, Lever, Ashby, or Workable.
filterDepartment	string	""	Optional keyword filter (e.g. 'Engineering', 'Sales').
filterRemoteOnly	boolean	false	Return only positions designated as Remote.
extractTechStack	boolean	true	Scans descriptions for 250+ tech tools & languages.
extractSalary	boolean	true	Parses minimum and maximum salary ranges and currencies.
maxJobsPerCompany	integer	250	Maximum job postings to retrieve per company board.
maxCompanies	integer	50	Maximum companies to process when 'All Featured Leaders' is selected.

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📤 Output Dataset Example

{
  "company": "stripe",
  "atsPlatform": "Greenhouse",
  "jobId": "7134021",
  "jobTitle": "Staff Software Engineer, Cloud Infrastructure",
  "department": "Engineering & Technology",
  "location": "San Francisco, CA / Remote",
  "isRemote": true,
  "workplaceType": "Remote",
  "employmentType": "Full-time",
  "salaryMin": 215000,
  "salaryMax": 295000,
  "salaryCurrency": "USD",
  "salaryInterval": "Yearly",
  "detectedTechStack": [
    "AWS",
    "Docker",
    "Go / Golang",
    "Kubernetes",
    "Python",
    "Terraform"
  ],
  "jobUrl": "https://boards.greenhouse.io/stripe/jobs/7134021",
  "publishedAt": "2026-09-06T18:30:00Z",
  "descriptionSnippet": "Stripe is looking for a Staff Software Engineer to lead the architecture of our next-generation cloud infrastructure...",
  "scrapedAt": "2026-09-08T14:50:00Z"
}

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💼 B2B Outbound Playbook & Use Cases

1. Software & Cloud Sales Trigger:
   • Search companies hiring for Kubernetes or Snowflake -> Pitch DevOps / Data pipeline software at the exact moment of demand.
2. Tech Recruiters & Staffing Agencies:
   • Identify active job openings before external recruiters flood the employer.
3. Competitive Intelligence & VC Headcount Tracking:
   • Track growth velocity and department allocation across fast-growing venture-backed tech startups.

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💰 Pricing & Monetization

• Pricing Model: Pay-Per-Event (PPE)
  • apify-actor-start: $0.002
  • apify-default-dataset-item: $0.002 ($2.00 per 1,000 verified jobs)
• Economics:
  • 1,000 jobs take ~5 seconds on 1,024 MB -> Compute cost ~ $0.001.
  • Gross Margin: > 95% pure creator profit!