Hiring.Cafe Scraper

What Hiring.Cafe Scraper can do

• Two ways to search. Filter by keyword, location, workplace type, employment type and seniority, or paste Hiring Cafe search links and single job links directly.
• 100+ structured attributes per job. The complete nested payload the site publishes, plus a curated flat view for filtering and sorting.
• Full job descriptions on request. Switch on Fetch full job descriptions to pull each posting's complete text; leave it off for a fast, listing only crawl.
• Company context on every job. Employee count, founding year, headquarters country, funding stage and stock ticker, when the posting publishes them.
• Pay, requirements and benefits at a glance. Salary range and frequency, minimum years of experience, required education, certifications, visa sponsorship, security clearance, benefits and schedule flags.
• Built for schedules. Incremental mode returns only new and changed jobs on recurring runs, and a run that cannot connect at all fails loudly instead of returning an empty dataset.

Choose what to collect

These inputs let you configure Hiring.Cafe Scraper - Jobs, Salaries, Companies & Benefits. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "id": "abc123XYZ",
  "requisition_id": "REQ-4821",
  "source": "greenhouse",
  "job_title": "Senior Backend Engineer",
  "company_name": "Sample Robotics Inc.",
  "employment_types": "Full Time",
  "seniority": "Senior Level",
  "workplace_type": "Remote",
  "location": "United States",
  "remote_worldwide": true,
  "salary_min": 120000,
  "salary_max": 160000,
  "salary_currency": "USD",
  "salary_frequency": "yearly",
  "salary_transparent": true,
  "posted_at": "2026-09-20",
  "min_years_experience": 5,
  "education_required": [
    "bachelors"
  ],
  "certifications": [
    "AWS Certified Solutions Architect"
  ],
  "technical_tools": [
    "Python",
    "Kubernetes"
  ],
  "visa_sponsorship": "No",
  "benefits": [
    "retirement_plan",
    "generous_paid_time_off"
  ],
  "company_employees": "51-200",
  "company_founded": 2015,
  "company_hq_country": "United States",
  "views_on_site": 340,
  "applies_on_site": 28,
  "description_text": "We are looking for a Senior Backend Engineer to join our platform team...",
  "job_url": "https://hiringcafe.com/job/REQ-4821",
  "apply_url": "https://sample-robotics.example.com/careers/req-4821/apply",
  "job_information": {},
  "v5_processed_job_data": {},
  "v5_processed_company_data": {},
  "_geoloc": {
    "lat": 37.77,
    "lng": -122.41
  }
}

Ways to use this data

• Job boards and aggregators: mirror Hiring Cafe postings with structured salary, benefits and requirement fields ready to filter and republish.
• Recruiting and sourcing teams: track new roles at target companies, along with funding stage and headcount, to time outreach.
• Compensation and market research: build salary benchmarks by title, seniority, location and workplace type.
• Job seekers and career tools: power a personal alert feed for a keyword and location search, refreshed daily with incremental mode.
• Labor market analysis: study hiring trends across employment types, seniority levels, required skills and certifications over time.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor