Hiring.Cafe Jobs Scraper

Extract comprehensive job data from Hiring.Cafe with 30+ structured fields per listing. Collect job titles, companies, locations, compensation data, workplace details, seniority levels, skill requirements, and company profiles for research, recruiting, and market analysis.

Features

• Rich Job Data - 30+ fields per job including compensation ranges, workplace type, commitment, seniority, skills, and company profiles
• Keyword Search - Find jobs by specific terms and roles
• Location Filtering - Target jobs in specific regions
• Workplace Type Options - Filter by remote, hybrid, or onsite positions
• Company Intelligence - Company size, founded year, industries, activities, and tagline
• Structured Output - Clean, normalized job data with automatic deduplication
• Automatic Pagination - Collect data across multiple result pages

Use Cases

Job Market Research

Analyze hiring trends and salary ranges across different industries. Understand demand for specific skills and identify emerging job categories.

Recruitment Automation

Build automated job monitoring systems to track new opportunities. Feed job data into applicant tracking systems and recruitment pipelines.

Competitive Intelligence

Monitor competitor hiring patterns and job posting frequency. Track salary trends and benefits offered by different companies.

Career Planning

Research job opportunities and compensation data for career decisions. Compare offerings across companies and locations.

Data Analytics

Create comprehensive datasets for labor market analysis and economic research. Combine with other sources for broader market insights.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	"https://hiring.cafe"	Search bootstrap URL
keyword	String	No	-	Search keyword (e.g., "software engineer")
location	String	No	-	Location filter (supports "United States")
workplaceType	String	No	"Any"	Workplace type: "Any", "Remote", "Hybrid", or "Onsite"
results_wanted	Integer	No	20	Maximum jobs to collect
max_pages	Integer	No	10	Maximum pages to process
proxyConfiguration	Object	No	-	Proxy settings

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Output Data

Each item in the dataset contains detailed job and company information:

Field	Type	Description
job_id	String	Unique job identifier
title	String	Job position title
company	String	Company name
source	String	Source job board name
board_token	String	Job board identifier
location	String	Job location
workplace_type	String	Remote, Hybrid, or Onsite
commitment_type	String	Full Time, Part Time, etc.
compensation	String	Salary or compensation text
compensation_currency	String	Currency code (e.g., USD, AUD)
compensation_frequency	String	Payment frequency (e.g., Yearly, Hourly)
yearly_min_compensation	Number	Minimum yearly salary
yearly_max_compensation	Number	Maximum yearly salary
date_posted	String	Job posting date
description_html	String	Sanitized HTML description
description_text	String	Plain text job description
requirements_summary	String	Requirements summary
technical_tools	Array	Technical skills required
role_type	String	Role classification
seniority_level	String	Seniority level
job_category	String	Job category
security_clearance	String	Security clearance requirement
language_requirements	Array	Required languages
workplace_countries	Array	Countries where position is based
company_website	String	Company website URL
company_industries	Array	Industries the company operates in
company_activities	Array	Company business activities
company_size	Number	Number of employees
company_founded_year	Number	Year company was founded
company_tagline	String	Company description or tagline
url	String	Direct link to job posting

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Usage Examples

Basic Job Search

{
    "keyword": "software engineer",
    "results_wanted": 50
}

Remote Jobs Only

{
    "keyword": "data analyst",
    "location": "United States",
    "workplaceType": "Remote",
    "results_wanted": 100,
    "max_pages": 5
}

Advanced Filtering

{
    "keyword": "product manager",
    "workplaceType": "Hybrid",
    "results_wanted": 25,
    "max_pages": 3
}

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Sample Output

{
    "job_id": "avature___regis___4968",
    "title": "Cook - Camp Hill",
    "company": "Regis",
    "source": "avature",
    "board_token": "regis",
    "location": "Camp Hill, Queensland, Australia",
    "workplace_type": "Onsite",
    "commitment_type": "Full Time, Part Time",
    "compensation": "AUD 59550.4 - 69555.2 Hourly",
    "compensation_currency": "AUD",
    "compensation_frequency": "Hourly",
    "yearly_min_compensation": 59550.4,
    "yearly_max_compensation": 69555.2,
    "date_posted": "2026-07-17T05:59:15.004Z",
    "description_html": "<p>Commercial cooking experience, Certificate III in Commercial Cookery, knowledge of food safety standards, team player.</p>",
    "description_text": "Commercial cooking experience, Certificate III in Commercial Cookery, knowledge of food safety standards, team player.",
    "requirements_summary": "Commercial cooking experience, Certificate III in Commercial Cookery, knowledge of food safety standards, team player.",
    "role_type": "Individual Contributor",
    "seniority_level": "Entry Level",
    "job_category": "Food and Beverage Services",
    "security_clearance": "None",
    "language_requirements": ["English"],
    "workplace_countries": ["AU"],
    "company_website": "https://regis.com.au/",
    "company_industries": ["Healthcare", "Aged Care"],
    "company_activities": ["Residential aged care", "Home care services"],
    "company_size": 12000,
    "company_founded_year": 1994,
    "company_tagline": "Operates aged care facilities and retirement villages across Australia.",
    "url": "https://regis.avature.net/en_US/careers/JobDetail/Cook-Camp-Hill/4968"
}

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Tips for Best Results

Choose Your Keywords Carefully

• Use specific job titles for more relevant results (e.g., "software engineer" vs "engineer")
• Try multiple keyword variations to capture different listings
• Leave keyword empty to browse all available jobs

Optimize Collection Size

• Start with 20-50 results for testing
• Increase to larger counts for production runs
• Each run collects from all matching listings automatically

Use Location Filters

• Set location to "United States" for country-wide results
• Leave location empty to include global listings
• Workplace type filter works alongside location for precise targeting

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Integrations

Connect your job data with:

• Google Sheets - Export for team analysis and sharing
• Airtable - Build searchable job databases
• Slack - Get notifications for new opportunities
• Webhooks - Send data to custom applications
• Make - Create automated job monitoring workflows
• Zapier - Trigger actions based on new jobs

Export Formats

• JSON - For developers and APIs
• CSV - For spreadsheet analysis
• Excel - For business reporting

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Frequently Asked Questions

How many jobs can I collect?

You can collect as many jobs as the platform lists. The results_wanted parameter controls your collection size.

What data fields are available?

Each job includes 30+ fields covering job details, compensation, requirements, and company profile data.

Why are some fields missing?

Some fields like compensation and company size are only available when the employer provides that information. These fields are excluded from output when empty.

Can I filter by multiple workplace types?

Set workplaceType to "Any" to include remote, hybrid, and onsite positions. Use specific values to narrow down.

How often should I run the scraper?

Run daily or weekly for job market monitoring. The platform updates with new listings regularly.

Is location filtering accurate?

Location filters work best with "United States". For other locations, results may vary depending on how employers list their positions.

Does the scraper handle pagination?

Yes, it automatically processes multiple pages to reach your desired result count. The max_pages parameter sets a safety limit.

What if I get no results?

Try broadening your keyword or leaving the location empty. Some searches may return fewer results depending on current listings.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service and applicable laws. Use data responsibly and respect rate limits.