HiringCafe Jobs Scraper

The HiringCafe Jobs Scraper extracts job listings from HiringCafe and returns clean, structured job data including titles, companies, locations, apply links, salary ranges, skills, experience requirements, and company details. Use it for recruiting intelligence, job market research, compensation benchmarking, and lead generation.

Features

• Search HiringCafe by keyword, title, company, industry, location, workplace type, and commitment type
• Extract transparent salary ranges when available
• Return annualized and hourly compensation fields
• Filter for remote, hybrid, onsite, or field roles
• Filter by recent jobs, salary transparency, and salary range
• Capture apply URLs, ATS source, skills, requirements summaries, and company metadata
• Optional raw data output for advanced workflows

Input example

{
  "searchQuery": "software engineer",
  "locations": ["Singapore"],
  "workplaceTypes": ["Remote"],
  "commitmentTypes": ["Full Time"],
  "transparentSalaryOnly": true,
  "minYearlySalary": 100000,
  "sortBy": "compensation_desc",
  "maxItems": 100
}

Main input fields

• searchQuery — keyword search, such as software engineer or product manager
• locations — location labels such as Singapore, Tokyo, or United States
• workplaceTypes — Remote, Hybrid, Onsite, Field
• commitmentTypes — Full Time, Part Time, Contract, Internship, Temporary, Seasonal, Volunteer
• transparentSalaryOnly — only return jobs with detected salary data
• minYearlySalary / maxYearlySalary — salary filters
• sortBy — default, date, date_asc, compensation_desc, compensation_asc, experience_asc, experience_desc
• maxItems — maximum number of records to save

Output example

{
  "jobId": "workday___example",
  "title": "Software Engineer",
  "companyName": "Example Inc",
  "location": "United States",
  "workplaceType": "Remote",
  "commitmentType": "Full Time",
  "applyUrl": "https://example.com/apply",
  "salaryCurrency": "USD",
  "salaryListedFrequency": "Yearly",
  "salaryIsTransparent": true,
  "yearlyMinSalary": 70000,
  "yearlyMaxSalary": 86000,
  "hourlyMinSalary": 33.65,
  "hourlyMaxSalary": 41.34,
  "requirementsSummary": "Bachelor's degree and software engineering experience...",
  "technicalTools": ["Python", "SQL"],
  "source": "workday"
}

Salary data

When salary is available, the actor returns:

• salaryIsTransparent
• salaryCurrency
• salaryListedFrequency
• yearlyMinSalary / yearlyMaxSalary
• hourlyMinSalary / hourlyMaxSalary
• full nested salary object with yearly, monthly, weekly, bi-weekly, daily, and hourly values when present

Some jobs do not publish compensation. Those records will have null salary values unless transparentSalaryOnly is enabled.

Use cases

• Build job boards and role monitors
• Track remote job openings
• Benchmark software engineering salaries
• Monitor company hiring trends
• Enrich recruiting lead lists
• Analyze market demand by skill, title, or location

Pricing

Suggested event: result-item-produced — charged per job record saved to the dataset.

Notes

This actor extracts public job listing data. Availability and fields may vary by job posting. Salary fields are returned when HiringCafe has detected or normalized compensation information.