Hiring.cafe Jobs Search Scraper: Extract Detailed Job Data with 87+ Fields

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What Is Hiring.cafe?

Hiring.cafe is a comprehensive job search platform offering detailed job listings with advanced filtering by education requirements, experience levels, skills, location, workplace type, and benefits. Unlike basic job boards, Hiring.cafe enriches listings with structured job data—compensation ranges, degree requirements, languages, certifications, and workplace conditions. Manually extracting this structured data is impractical at scale; the Hiring.cafe Jobs Search Scraper automates collection, delivering clean, analyzable datasets instantly.

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Overview

The Hiring.cafe Jobs Search Scraper extracts comprehensive job listings from Hiring.cafe's search results, capturing 87+ structured fields per listing. It is ideal for:

• Job aggregators building multi-source job databases
• Talent analytics platforms analyzing hiring trends and compensation
• HR tech companies offering market intelligence tools
• Recruiters conducting competitive salary and role research
• Researchers studying labor market dynamics and skill demand

The scraper handles search result pages with filters, respects pagination, and delivers rich, normalized data ready for analysis, storage, or API distribution.

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Input Format

The scraper accepts a JSON configuration with search URLs and execution parameters:

{
  "urls": [
    "https://hiring.cafe/?searchState=%7B%22searchQuery%22%3A%22design%22%7D&page=1"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Input Fields Explained

Field	Type	Description	Example
urls	Array	Hiring.cafe search result page URLs with filters applied	["https://hiring.cafe/?searchState=..."]
ignore_url_failures	Boolean	If true, continues scraping if some URLs fail; if false, stops on first error	true
max_items_per_url	Integer	Maximum job listings to extract per URL (e.g., 200 = up to 200 jobs per page)	200

Usage tips:

• Construct URLs using Hiring.cafe's search interface: apply filters (location, salary, degree level, job type), then copy the resulting URL
• URL encoding preserves filter parameters in the searchState query string
• For large datasets, increase max_items_per_url or add multiple URLs with different page parameters

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Output Format

Sample output

{
  "core_job_title": "Game Designer",
  "requirements_summary": "Prototyping skills with Phaser.js/JavaScript/HTML5, portfolio of prototypes or game jam work, strong design instincts, comfort with rapid iteration, and curiosity about replayability.",
  "technical_tools": [
    "Phaser.js",
    "JavaScript",
    "HTML5",
    "Claude Code",
    "Cursor",
    "Copilot"
  ],
  "licenses_or_certifications": [],
  "associates_degree_requirement": "Not Mentioned",
  "associates_degree_fields_of_study": [],
  "bachelors_degree_requirement": "Not Mentioned",
  "bachelors_degree_fields_of_study": [],
  "masters_degree_requirement": "Not Mentioned",
  "masters_degree_fields_of_study": [],
  "doctorate_degree_requirement": "Not Mentioned",
  "doctorate_degree_fields_of_study": [],
  "licenses_or_certifications_not_mentioned": true,
  "min_industry_and_role_yoe": null,
  "is_min_industry_and_role_yoe_not_mentioned": null,
  "min_management_and_leadership_yoe": null,
  "is_min_management_and_leadership_yoe_not_mentioned": true,
  "job_category": "Design",
  "role_activities": [
    "designing prototypes",
    "prototyping gameplay",
    "running playtests"
  ],
  "commitment": [
    "Full Time",
    "Internship"
  ],
  "role_type": "Individual Contributor",
  "seniority_level": "Entry Level",
  "workplace_countries": [
    "SG"
  ],
  "boundless_workplace_states": [],
  "boundless_workplace_countries": [],
  "boundless_workplace_continents": [],
  "workplace_continents": [
    "Asia"
  ],
  "workplace_states": [
    "Singapore, SG"
  ],
  "workplace_cities": [
    "Singapore, Singapore, SG"
  ],
  "workplace_counties": [
    "Singapore County, Singapore, SG"
  ],
  "workplace_type": "Onsite",
  "workplace_physical_environment": "Office",
  "oral_communication_level": "High",
  "physical_labor_intensity": "Low",
  "physical_position": "Sitting",
  "computer_usage": "High",
  "cognitive_demand": "High",
  "air_travel_requirement": "None",
  "land_travel_requirement": "None",
  "morning_shift_work": "Not Indicated",
  "evening_shift_work": "Not Indicated",
  "overnight_work": "Not Indicated",
  "formatted_workplace_location": "Singapore, Singapore, Singapore",
  "on_call_requirement": "None",
  "weekend_availability_required": false,
  "holiday_availability_required": false,
  "generous_paid_time_off": false,
  "four_day_work_week": false,
  "overtime_required": false,
  "is_workplace_worldwide_ok": false,
  "language_requirements": null,
  "num_language_requirements": null,
  "number_of_workplace_cities": null,
  "number_of_workplace_counties": null,
  "number_of_workplace_states": null,
  "number_of_workplace_countries": null,
  "number_of_workplace_continents": null,
  "yearly_max_compensation": null,
  "yearly_min_compensation": null,
  "monthly_max_compensation": null,
  "monthly_min_compensation": null,
  "weekly_max_compensation": null,
  "weekly_min_compensation": null,
  "hourly_max_compensation": null,
  "hourly_min_compensation": null,
  "bi_weekly_min_compensation": null,
  "bi_weekly_max_compensation": null,
  "daily_min_compensation": null,
  "daily_max_compensation": null,
  "estimated_publish_date": "2026-07-06T20:52:35.143Z",
  "estimated_publish_date_millis": 1783371155143,
  "fair_chance": false,
  "visa_sponsorship": false,
  "relocation_assistance": false,
  "military_veterans": false,
  "tuition_reimbursement": false,
  "retirement_plan": false,
  "generous_parental_leave": false,
  "is_high_school_required": false,
  "is_driver_license_required": false,
  "is_compensation_transparent": false,
  "listed_compensation_currency": "USD",
  "listed_compensation_frequency": "Yearly",
  "security_clearance": "None",
  "position_employer_type": "Internal Position",
  "company_name": "Tencent",
  "company_website": "careers.tencent.com",
  "company_sector_and_industry": "Information Technology",
  "company_activities": [
    "internet services",
    "product development"
  ],
  "company_tagline": "A world-leading internet and technology company developing products and services to improve quality of life.",
  "from_url": "https://hiring.cafe/?searchState=%7B%22searchQuery%22%3A%22design%22%7D&page=1"
}

Each job listing returns 87+ structured fields organized into logical categories:

Core Job Identity

Field	Meaning	Example
Core Job Title	Standardized job title classification	"Software Engineer", "Product Manager"
Company Name	Official employer name	"TechCorp Inc."
Company Website	Company's official domain	"techcorp.com"
Company Sector And Industry	Industry classification	"Technology", "Healthcare"
Company Activities	What the company does	"Cloud software development"
Company Tagline	Company's mission or brand statement	"Innovating the future of work"

Education & Credentials

Field	Meaning	Example
Associates Degree Requirement	Whether an associate's degree is required	true/false
Associates Degree Fields Of Study	Specific associate's degree fields required	"Business Administration", "Information Technology"
Bachelors Degree Requirement	Whether a bachelor's degree is required	true/false
Bachelors Degree Fields Of Study	Required bachelor's degree majors	"Computer Science", "Engineering"
Masters Degree Requirement	Whether a master's degree is required	true/false
Masters Degree Fields Of Study	Required master's degree programs	"MBA", "Data Science"
Doctorate Degree Requirement	Whether a doctorate is required	true/false
Doctorate Degree Fields Of Study	Doctoral specializations required	"Physics", "Medical Science"
Is High School Required	Minimum high school diploma or GED	true/false
Licenses Or Certifications	Required professional licenses/certifications	"PMP", "Certified Scrum Master"
Licenses Or Certifications Not Mentioned	If certifications are optional/not specified	true/false

Experience Requirements

Field	Meaning	Example
Min Industry And Role YOE	Minimum years of experience in this role/industry	5
Is Min Industry And Role YOE Not Mentioned	If experience requirement not stated	true/false
Min Management And Leadership YOE	Minimum management/leadership experience	3
Is Min Management And Leadership YOE Not Mentioned	If management experience not specified	true/false

Role & Responsibilities

Field	Meaning	Example
Job Category	Broad job category	"Information Technology", "Sales"
Role Activities	Key duties and activities	"Software development", "Data analysis"
Requirements Summary	Plain-text summary of all requirements	"Must have 5+ years in backend development..."
Technical Tools	Required technical skills and software	"Python", "AWS", "Docker", "PostgreSQL"

Employment Terms

Field	Meaning	Example
Role Type	Employment classification	"Full-time", "Contract", "Part-time"
Commitment	Time commitment expectation	"Full-time", "Flexible"
Seniority Level	Career level	"Entry-level", "Mid-level", "Senior", "C-level"
Is Driver License Required	Commercial driver's license required	true/false
Overtime Required	Whether overtime is typical	true/false
Fair Chance	Employer participates in fair chance hiring	true/false

Work Schedule & Availability

Field	Meaning	Example
Morning Shift Work	Early morning hours typical	true/false
Evening Shift Work	Evening hours typical	true/false
Overnight Work	Night shift required	true/false
Weekend Availability Required	Must work weekends	true/false
Holiday Availability Required	Must work holidays	true/false
On Call Requirement	On-call availability required	true/false

Workplace & Location

Field	Meaning	Example
Workplace Type	Remote, hybrid, or on-site	"Remote", "On-site", "Hybrid"
Workplace Physical Environment	Physical conditions	"Indoor office", "Outdoor field work"
Formatted Workplace Location	Human-readable location	"San Francisco, CA, USA"
Workplace Countries	Countries where role is available	["United States", "Canada"]
Workplace States	US states (if applicable)	["California", "Texas", "New York"]
Workplace Cities	Specific cities	["San Francisco", "Los Angeles"]
Workplace Counties	County-level locations	["San Francisco County"]
Workplace Continents	Continents	["North America"]
Boundless Workplace Countries	Countries if remote work available	["USA", "Canada", "UK"]
Boundless Workplace States	States accessible if remote	["All US States"]
Boundless Workplace Continents	Continents accessible if remote	["North America", "Europe"]
Is Workplace Worldwide OK	Whether worldwide remote is acceptable	true/false
Number Of Workplace Cities	Count of cities	3
Number Of Workplace Counties	Count of counties	2
Number Of Workplace States	Count of states	5
Number Of Workplace Countries	Count of countries	2
Number Of Workplace Continents	Count of continents	1

Physical & Cognitive Demands

Field	Meaning	Example
Physical Labor Intensity	Degree of physical effort	"Light", "Moderate", "Heavy"
Physical Position	Postures required	"Sitting", "Standing", "Walking"
Computer Usage	Extent of computer/screen work	"Minimal", "Moderate", "Extensive"
Cognitive Demand	Mental/intellectual intensity	"Low", "Medium", "High"
Oral Communication Level	Speaking/interpersonal requirement	"Minimal", "Moderate", "Extensive"
Air Travel Requirement	Frequency of flights	"None", "Occasional", "Frequent"
Land Travel Requirement	Frequency of ground travel	"None", "Occasional", "Frequent"

Compensation & Benefits

Field	Meaning	Example
Yearly Min Compensation	Minimum annual salary (USD)	60000
Yearly Max Compensation	Maximum annual salary (USD)	120000
Monthly Min Compensation	Minimum monthly pay	5000
Monthly Max Compensation	Maximum monthly pay	10000
Weekly Min Compensation	Minimum weekly pay	1200
Weekly Max Compensation	Maximum weekly pay	2300
Hourly Min Compensation	Minimum hourly rate	30
Hourly Max Compensation	Maximum hourly rate	60
Bi Weekly Min Compensation	Minimum bi-weekly pay	2400
Bi Weekly Max Compensation	Maximum bi-weekly pay	4600
Daily Min Compensation	Minimum daily rate	300
Daily Max Compensation	Maximum daily rate	500
Listed Compensation Currency	Currency used	"USD", "EUR"
Listed Compensation Frequency	Pay frequency	"Annually", "Hourly", "Bi-weekly"
Is Compensation Transparent	Whether salary is clearly disclosed	true/false
Generous Paid Time Off	Robust PTO/vacation policy	true/false
Four Day Work Week	4-day work week option	true/false
Generous Parental Leave	Extended parental leave offered	true/false
Retirement Plan	401(k) or pension available	true/false
Tuition Reimbursement	Education assistance offered	true/false

Special Programs & Requirements

Field	Meaning	Example
Visa Sponsorship	Employer sponsors work visas	true/false
Relocation Assistance	Moving costs covered	true/false
Military Veterans	Role open to veterans	true/false
Security Clearance	Government clearance required	true/false
Language Requirements	Languages needed	"English", "Spanish", "Mandarin"
Num Language Requirements	Number of languages required	2

Metadata

Field	Meaning	Example
Estimated Publish Date	When listing was posted	"2024-01-15"
Estimated Publish Date Millis	Unix timestamp in milliseconds	1705276800000
Position Employer Type	Employer category	"Private Company", "Non-profit", "Government"

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How to Use

1. Build a search URL — Visit Hiring.cafe, apply filters (keyword, location, salary range, degree level, job type), and copy the resulting URL.
2. Configure input — Paste the URL into the urls array. Set max_items_per_url to control volume (e.g., 200 = up to 200 jobs per page).
3. Enable error handling — Keep ignore_url_failures: true for robust runs; set to false for strict validation.
4. Run the scraper — Start execution and monitor the live log for progress.
5. Download results — Export data as JSON, CSV, or Excel for analysis, database import, or API integration.

Best practices:

• Use multiple URLs with different filters to sample diverse roles (by seniority, location, industry)
• Adjust max_items_per_url based on dataset size needs—higher values collect more but take longer
• Regularly validate output fields for nulls or unexpected values

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Use Cases & Business Applications

• Job aggregators: Combine Hiring.cafe with other sources to build unified job databases
• Salary & market research: Analyze compensation trends by role, location, experience level, and industry
• Skill demand analysis: Track which technical skills, certifications, and degrees are most sought-after
• Talent acquisition: Build target candidate profiles based on job market intelligence
• HR platforms: Feed structured data into recruiting tools, market reports, or dashboards
• Academic research: Study labor market trends, skill evolution, and hiring practices

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Conclusion

The Hiring.cafe Jobs Search Scraper delivers comprehensive, structured job data with 87+ fields per listing—far beyond title and description. Whether you're building a job aggregator, analyzing talent markets, or powering HR intelligence tools, this scraper transforms Hiring.cafe's rich search results into machine-readable datasets. Start scraping today and unlock data-driven insights into the job market.