Hiring.cafe Jobs Scraper: Extract Structured Job Data Instantly

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What Is Hiring.cafe?

Hiring.cafe is a comprehensive job listing platform designed for employers seeking quality talent across multiple industries. Unlike generic job boards, Hiring.cafe catalogs detailed job information including educational requirements, years of experience needed, technical skills, compensation transparency, workplace benefits, and work environment conditions. Extracting this data manually is impractical at scale — the Hiring.cafe Jobs Scraper automates collection, delivering structured records ready for analysis or integration.

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Overview

The Hiring.cafe Jobs Scraper extracts detailed job postings into clean, machine-readable records with 80+ searchable fields. It is built for:

• Talent acquisition teams tracking market compensation and skills demand
• Career researchers analyzing hiring trends and education requirements
• Data analysts benchmarking job specifications across industries
• Job aggregators populating multi-source platforms with standardized data
• HR consultants understanding competitive talent positioning

The scraper handles single or batch URLs, gracefully skips failed pages, and returns comprehensive structured data suitable for CSV, JSON, or database import.

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Input Format

The scraper accepts a minimal JSON configuration:

{
  "urls": [
    "https://hiring.cafe/job/senior-design-strategist-metlife-new-york-city-new-york-hxbe9wndeq9kvxba"
  ],
  "ignore_url_failures": true
}

Field	Description
urls	Array of direct links to individual Hiring.cafe job detail pages
ignore_url_failures	Boolean flag (default: true). If true, the scraper continues if some URLs fail; if false, it halts on the first error

Note: Paste only job detail page URLs, not search results pages. Bulk edit mode accepts multiple URLs separated by line breaks.

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Output Format

Sample output

{
  "core_job_title": "Design Strategist",
  "requirements_summary": "Portfolio required; 4-6 years applying human-centered design or service design; experience with journey maps, service blueprints, workshops, stakeholder alignment, and design-to-delivery roadmaps.",
  "technical_tools": [
    "Figma",
    "Miro",
    "Microsoft",
    "Adobe Creative Suite"
  ],
  "licenses_or_certifications": [],
  "associates_degree_requirement": "Not Mentioned",
  "associates_degree_fields_of_study": [],
  "bachelors_degree_requirement": "Preferred",
  "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": 4,
  "is_min_industry_and_role_yoe_not_mentioned": false,
  "min_management_and_leadership_yoe": null,
  "is_min_management_and_leadership_yoe_not_mentioned": true,
  "job_category": "Design",
  "role_activities": [
    "defining journeys",
    "leading workshops",
    "creating blueprints"
  ],
  "commitment": [
    "Full Time"
  ],
  "role_type": "Individual Contributor",
  "seniority_level": "Mid Level",
  "workplace_countries": [
    "US"
  ],
  "boundless_workplace_states": [],
  "boundless_workplace_countries": [],
  "boundless_workplace_continents": [],
  "workplace_continents": [
    "North America"
  ],
  "workplace_states": [
    "New York, US"
  ],
  "workplace_cities": [
    "New York City, New York, US"
  ],
  "workplace_counties": [
    "New York County, New York, US"
  ],
  "workplace_type": "Hybrid",
  "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": "New York City, New York, United States",
  "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": 135000,
  "yearly_min_compensation": 107300,
  "monthly_max_compensation": 11250,
  "monthly_min_compensation": 8941.666666666666,
  "weekly_max_compensation": 2596.153846153846,
  "weekly_min_compensation": 2063.4615384615386,
  "hourly_max_compensation": 64.90384615384616,
  "hourly_min_compensation": 51.58653846153846,
  "bi_weekly_min_compensation": null,
  "bi_weekly_max_compensation": null,
  "daily_min_compensation": 412.6923076923077,
  "daily_max_compensation": 519.2307692307693,
  "estimated_publish_date": "2026-04-06T12:00:00.000Z",
  "estimated_publish_date_millis": 1775476800000,
  "fair_chance": false,
  "visa_sponsorship": false,
  "relocation_assistance": false,
  "military_veterans": false,
  "tuition_reimbursement": true,
  "retirement_plan": true,
  "generous_parental_leave": false,
  "is_high_school_required": true,
  "is_driver_license_required": false,
  "is_compensation_transparent": true,
  "listed_compensation_currency": "USD",
  "listed_compensation_frequency": "Yearly",
  "security_clearance": "None",
  "position_employer_type": "Internal Position",
  "company_name": "MetLife",
  "company_website": "metlifecareers.com",
  "company_sector_and_industry": "Finance",
  "company_activities": [
    "insurance",
    "asset management"
  ],
  "company_tagline": "A global financial services firm providing insurance, annuities, employee benefits and asset management."
}

Each scraped job record contains 80+ structured fields organized by category:

Core Position Information

Field	Meaning
Core Job Title	Primary job title (e.g., "Senior Design Strategist")
Job Category	Broad job classification (e.g., Design, Marketing, Engineering)
Role Type	Employment type (full-time, part-time, contract, temporary)
Seniority Level	Career stage (entry-level, mid-level, senior, director)
Commitment	Time commitment expectation (full-time, part-time, flexible)

Education & Credentials

Field	Meaning
Associates Degree Requirement	Whether an Associate's degree is required
Associates Degree Fields Of Study	Acceptable Associate's degree majors
Bachelors Degree Requirement	Whether a Bachelor's degree is required
Bachelors Degree Fields Of Study	Acceptable Bachelor's degree majors
Masters Degree Requirement	Whether a Master's degree is required
Masters Degree Fields Of Study	Acceptable Master's degree majors
Doctorate Degree Requirement	Whether a PhD is required
Doctorate Degree Fields Of Study	Acceptable Doctorate specializations
Is High School Required	High school diploma or GED requirement flag
Is Driver License Required	Valid driver's license requirement flag

Experience Requirements

Field	Meaning
Min Industry And Role YOE	Minimum years of experience in this specific role
Is Min Industry And Role YOE Not Mentioned	Flag indicating experience not specified
Min Management And Leadership YOE	Minimum years managing teams or leading projects
Is Min Management And Leadership YOE Not Mentioned	Flag if management experience not specified

Skills & Certifications

Field	Meaning
Requirements Summary	Plain-text summary of key job requirements
Technical Tools	Required software, platforms, or programming languages
Licenses Or Certifications	Required professional credentials (e.g., CPA, PMP)
Licenses Or Certifications Not Mentioned	Flag if no specific licenses mentioned

Workplace Location & Geography

Field	Meaning
Workplace Type	Office, remote, hybrid, on-site, or distributed
Workplace Physical Environment	Setting type (retail, corporate office, warehouse, field)
Workplace Countries	Specific countries where work occurs
Workplace States	Specific U.S. states or regional divisions
Workplace Cities	Specific cities or metropolitan areas
Workplace Counties	County-level geographic specificity
Workplace Continents	Continental region(s)
Formatted Workplace Location	Human-readable location string (e.g., "New York City, NY, USA")
Number Of Workplace Cities	Count of different work location cities
Number Of Workplace Counties	Count of work location counties
Number Of Workplace States	Count of work location states
Number Of Workplace Countries	Count of work location countries
Number Of Workplace Continents	Count of work location continents
Boundless Workplace Cities	Remote-friendly cities without geographic restrictions
Boundless Workplace States	Remote-friendly states/regions
Boundless Workplace Countries	Remote-friendly countries
Boundless Workplace Continents	Remote-friendly continents
Is Workplace Worldwide OK	Boolean flag: role can be performed anywhere globally

Work Schedule & Availability

Field	Meaning
Morning Shift Work	Role requires morning/early shift availability
Evening Shift Work	Role requires evening shift availability
Overnight Work	Role requires overnight/graveyard shift
Weekend Availability Required	Weekend work expectation
Holiday Availability Required	Holiday work expectation
On Call Requirement	On-call duty expectation flag
Overtime Required	Overtime work expectation

Work Demands & Physical Requirements

Field	Meaning
Role Activities	Primary job duties and responsibilities
Oral Communication Level	Speaking/presentation skill requirement level (low, medium, high)
Computer Usage	Daily computer usage requirement (minimal, moderate, extensive)
Cognitive Demand	Mental effort/complexity level required
Physical Labor Intensity	Physical exertion level (light, moderate, heavy)
Physical Position	Required body positions (sitting, standing, walking, lifting)
Air Travel Requirement	Frequency of air travel expected
Land Travel Requirement	Frequency of ground travel expected

Compensation

Field	Meaning
Yearly Min Compensation	Minimum annual salary
Yearly Max Compensation	Maximum annual salary
Monthly Min Compensation	Minimum monthly pay
Monthly Max Compensation	Maximum monthly pay
Weekly Min Compensation	Minimum weekly pay
Weekly Max Compensation	Maximum weekly pay
Bi Weekly Min Compensation	Minimum bi-weekly (every two weeks) pay
Bi Weekly Max Compensation	Maximum bi-weekly pay
Daily Min Compensation	Minimum daily rate
Daily Max Compensation	Maximum daily rate
Hourly Min Compensation	Minimum hourly rate
Hourly Max Compensation	Maximum hourly rate
Listed Compensation Currency	Currency code (USD, EUR, GBP, etc.)
Listed Compensation Frequency	Pay frequency (annual, monthly, hourly, etc.)
Is Compensation Transparent	Boolean flag: salary transparency in posting

Benefits & Perks

Field	Meaning
Generous Paid Time Off	Robust vacation/PTO policy indicator
Generous Parental Leave	Extended parental leave offering
Four Day Work Week	Four-day work week option
Retirement Plan	401(k), pension, or equivalent retirement benefit
Tuition Reimbursement	Education/professional development support
Relocation Assistance	Relocation or moving cost assistance

Compliance & Special Flags

Field	Meaning
Fair Chance	Fair Chance hiring (considers criminal history)
Visa Sponsorship	Employer willing to sponsor work visas
Military Veterans	Role actively recruits military veterans
Security Clearance	Government security clearance requirement
Language Requirements	Required languages (beyond English)
Num Language Requirements	Count of required languages

Company Information

Field	Meaning
Company Name	Employer legal name
Company Website	Company's official website URL
Company Sector And Industry	Industry classification (tech, finance, healthcare, etc.)
Company Activities	Brief description of company business
Company Tagline	Company's mission statement or tagline
Position Employer Type	Employer category (corporation, startup, nonprofit, government)

Metadata

Field	Meaning
Estimated Publish Date	Date the job was posted (formatted)
Estimated Publish Date Millis	Unix timestamp of publication

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How to Use

1. Identify job URLs — Navigate to Hiring.cafe and locate individual job postings. Copy the full URL from each job detail page.

2. Prepare your input — Paste one or more URLs into the urls array. Example:

{
     "urls": [
       "https://hiring.cafe/job/role-1-company-city-id123",
       "https://hiring.cafe/job/role-2-company-city-id456"
     ],
     "ignore_url_failures": true
   }

3. Configure error handling — Set ignore_url_failures to true for batch runs (recommended) or false if you want the scraper to stop on the first error.

4. Run the scraper — Start the actor. The run will progress through each URL, extracting all 80+ fields per job.

5. Download results — Export as JSON, CSV, or Excel. Import into your database, analytics tool, or spreadsheet.

Best practices:

• Test with 1–2 URLs first to verify output structure
• Use ignore_url_failures: true for large batches to prevent losing data
• Verify URLs point to job detail pages, not search results or company pages
• Schedule regular scrapes to track salary and benefits trends over time

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Use Cases & Business Value

Talent & Recruitment:

• Benchmark your job descriptions against competitors
• Identify skills gaps and market-standard experience requirements
• Track competitor hiring and compensation strategies

Market Research:

• Analyze industry hiring trends by role, location, and seniority
• Study education and credential demand across sectors
• Monitor remote work adoption and location flexibility

Job Aggregation:

• Normalize job data from Hiring.cafe into your platform
• Enrich aggregated listings with structured, searchable fields
• Reduce manual data entry by 90%+ with automation

Data Science & Analytics:

• Build training datasets for job classification models
• Analyze compensation disparity across geographies and industries
• Forecast skills demand in emerging sectors

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Conclusion

The Hiring.cafe Jobs Scraper transforms unstructured job postings into powerful, searchable datasets. With 80+ fields covering education, experience, location, compensation, and benefits, it enables talent teams, researchers, and aggregators to make data-driven decisions at scale. Stop copying and pasting — automate your hiring intelligence today.