Hiring.Cafe Jobs Scraper

What does Hiring.Cafe Jobs Scraper do?

Hiring.Cafe Jobs Scraper collects public job listings from Hiring.Cafe and saves them as structured Apify dataset records. Search by keyword or use a prepared Hiring.Cafe search URL, then narrow the results by location and workplace type. Each record includes job details, compensation, requirements, skills, company information, workplace attributes, and application links.

The Actor is built for repeatable job datasets. Run a small search for a quick review, or raise max_pages to collect a larger sample for recruiting research, salary analysis, skills analysis, or labor-market monitoring.

Why use Hiring.Cafe Jobs Scraper?

• Search the way Hiring.Cafe searches - Keyword, location, and workplace filters are translated into Hiring.Cafe's own search format, including automatic location resolution.
• Rich records from listing data - Collect titles, companies, compensation ranges, requirements, technical tools, workplace details, company profiles, and application URLs without visiting individual job pages.
• Optional full descriptions - Keep runs fast with listing summaries, or enable full descriptions when you need complete job text.
• Duplicate-free results - Repeated sources and multi-location copies are collapsed into one record, with alternate sources and other locations kept in the same row.
• Reliable by design - The Actor rotates connection profiles, recovers from temporary failures, refreshes its session when the site changes, and can switch to a proxy when direct access is blocked.
• Automation-ready exports - Download JSON, CSV, Excel, or XML, or connect the dataset to schedules, webhooks, and the Apify API.

What data can you extract from Hiring.Cafe?

Fields are included when the source listing publishes them. Some records contain more fields than others.

Field	Type	Description
job_id	String	Unique job identifier.
object_id	String	Search object identifier.
requisition_id	String	Employer requisition identifier.
original_source_id	String	Identifier from the original source.
title	String	Job title.
company	String	Employer or organization name.
source	String	Original job board or source identifier.
board_token	String	Source board identifier.
source_and_board_token	String	Combined source and board reference.
location	String	Published workplace location.
latitude / longitude	Number	Job coordinates when available.
workplace_type	String	Remote, Hybrid, or Onsite.
commitment_type	String	Full Time, Part Time, Contract, Internship, and similar values.
compensation	String	Human-readable compensation text.
compensation_currency	String	Currency code, such as USD or EUR.
compensation_frequency	String	Payment period, such as Yearly, Monthly, or Hourly.
is_compensation_transparent	Boolean	Whether the listing publishes compensation.
yearly_min_compensation / yearly_max_compensation	Number	Yearly compensation range.
monthly_min_compensation / monthly_max_compensation	Number	Monthly compensation range.
weekly_min_compensation / weekly_max_compensation	Number	Weekly compensation range.
hourly_min_compensation / hourly_max_compensation	Number	Hourly compensation range.
date_posted	String	Publication or estimated publication date.
date_posted_timestamp	Number	Publication date in milliseconds.
description_html	String	Sanitized description HTML.
description_text	String	Plain-text description.
description_is_full	Boolean	Whether the description came from the full job detail.
requirements_summary	String	Summary of job requirements.
technical_tools	Array	Tools, technologies, and skills.
role_type	String	Individual Contributor or People Manager.
role_activities	Array	Activities associated with the role.
seniority_level	String	Experience level.
job_category	String	Occupational category.
security_clearance	String	Security clearance requirement.
language_requirements	Array	Required or preferred languages.
workplace_countries	Array	Countries associated with the workplace.
workplace_states	Array	States or regions associated with the workplace.
workplace_cities	Array	Cities associated with the workplace.
workplace_counties	Array	Counties associated with the workplace.
workplace_continents	Array	Continents associated with the workplace.
workplace_physical_environment	String	Office, Outdoor, Vehicle, Industrial, or Customer-Facing.
physical_labor_intensity	String	Physical labor intensity.
physical_position	String	Sitting or Standing.
computer_usage	String	Computer usage level.
cognitive_demand	String	Cognitive demand level.
oral_communication_level	String	Oral communication level.
air_travel_requirement	String	Air travel requirement.
land_travel_requirement	String	Land travel requirement.
on_call_requirement	String	On-call requirement.
weekend_availability_required	Boolean	Whether weekend availability is required.
holiday_availability_required	Boolean	Whether holiday availability is required.
overtime_required	Boolean	Whether overtime is required.
four_day_work_week	Boolean	Whether a four-day work week is offered.
generous_paid_time_off	Boolean	Whether generous paid time off is offered.
visa_sponsorship	Boolean	Whether visa sponsorship is available.
relocation_assistance	Boolean	Whether relocation assistance is available.
military_veterans	Boolean	Whether the employer encourages veteran applications.
fair_chance	Boolean	Whether the employer participates in fair-chance hiring.
tuition_reimbursement	Boolean	Whether tuition reimbursement is offered.
retirement_plan	Boolean	Whether a retirement plan is offered.
retirement_401k_matching	Boolean	Whether 401k matching is offered.
generous_parental_leave	Boolean	Whether generous parental leave is offered.
is_high_school_required	Boolean	Whether a high school diploma is required.
is_driver_license_required	Boolean	Whether a driver license is required.
min_industry_and_role_yoe	Number	Minimum years of industry and role experience.
min_management_and_leadership_yoe	Number	Minimum years of management experience.
licenses_or_certifications	Array	Required licenses or certifications.
degree_requirements	Object	Degree requirements by education level.
position_employer_type	String	Direct employer or staffing position type.
is_expired	Boolean	Whether the listing is marked expired.
hiringcafe_url	String	Hiring.Cafe job page URL.
url	String	Direct application or source listing URL.
alternate_sources	Array	Other sources for the same job.
other_locations	Array	Other locations for the same job.
company_website	String	Employer website.
company_sector	String	Company sector.
company_industries	Array	Company industry classifications.
company_activities	Array	Company business activities.
company_size	Number	Employee count.
company_founded_year	Number	Company founding year.
company_tagline	String	Company description or tagline.
company_parent	String	Parent company.
company_subsidiaries	Array	Company subsidiaries.
company_organization_type	String	Public, private, nonprofit, or government.
company_hq_country	String	Company headquarters country.
company_board_classification	String	Board classification.
company_org_classification	String	Organization classification.
company_stock_exchange	String	Stock exchange.
company_stock_symbol	String	Stock symbol.
company_latest_funding_type	String	Latest funding type.
company_latest_funding_year	Number	Latest funding year.
company_latest_funding_amount	Number	Latest funding amount.
company_latest_funding_investors	Array	Latest funding investors.

By default, description_html, description_text, and requirements_summary come from the listing data. Set include_descriptions to true to retrieve the full description for each saved job.

How to use Hiring.Cafe Jobs Scraper

1. Open the Actor in Apify Console.
2. Enter a keyword such as software engineer, data analyst, or product manager.
3. Optionally set a location and workplace type.
4. Choose results_wanted and, for larger collections, increase max_pages.
5. Start the run and review the dataset preview.
6. Download the results or connect the dataset to your recruiting, research, or monitoring workflow.

Search modes

• Keyword mode searches the keyword you enter, with the optional location and workplace filters.
• URL mode uses the search state inside a prepared Hiring.Cafe URL. When a URL contains a search state, the keyword example/default is ignored.
• In URL mode, the URL's workplace filter is preserved unless you select a specific workplace type. Selecting Any keeps the URL's filter instead of letting a form default widen the saved search.
• If a supplied URL has no search state, the Actor falls back to keyword mode and tells you in the run log.
• If no search value is supplied, the keyword example/default is used.

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	None	Prepared Hiring.Cafe search URL. A URL containing a search state selects URL mode. Legacy hiring.cafe URLs are redirected automatically.
keyword	String	No	"software engineer"	Job title, skill, or phrase. Used when no search URL is supplied.
location	String	No	None	Country, state, city, or region. The closest matching search region is resolved automatically.
workplaceType	String	No	"Any"	Any, Remote, Hybrid, or Onsite.
results_wanted	Integer	No	20	Maximum number of unique jobs to save.
max_pages	Integer	No	10	Maximum result pages to process. Hiring.Cafe exposes roughly 250 pages per search.
include_descriptions	Boolean	No	false	Retrieve full descriptions where the source allows them. Requests are paced to reduce rate limits; listings that cannot be enriched keep their listing summary.
proxyConfiguration	Object	No	Apify Proxy fallback	Used only when direct requests are blocked. The Actor keeps the same proxy session for the remainder of the run.

Usage Examples

Basic keyword search

Collect 20 software engineering jobs:

{
    "keyword": "software engineer",
    "results_wanted": 20
}

Location and workplace filters

Collect remote data roles near Chicago:

{
    "keyword": "data analyst",
    "location": "Chicago",
    "workplaceType": "Remote",
    "results_wanted": 50,
    "max_pages": 5
}

Full descriptions

Collect 100 product manager jobs with complete descriptions:

{
    "keyword": "product manager",
    "results_wanted": 100,
    "max_pages": 10,
    "include_descriptions": true
}

Prepared search URL

Use a saved Hiring.Cafe search URL:

{
    "startUrl": "https://hiringcafe.com/classic?searchState=%7B%22searchQuery%22%3A%22software%20engineer%22%7D",
    "results_wanted": 100,
    "max_pages": 10
}

Sample Output

The following example shows one normalized dataset item. Some fields are omitted from individual records when the source does not publish them.

{
    "job_id": "phenompeople___careers.itw.com___JR10544",
    "object_id": "phenompeople___careers.itw.com___JR10544",
    "requisition_id": "ojzps6ivfxkzw14g",
    "original_source_id": "JR10544",
    "title": "Software Engineer",
    "company": "Illinois Tool Works",
    "source": "phenompeople",
    "board_token": "careers.itw.com",
    "source_and_board_token": "phenompeople_careers.itw.com",
    "location": "Orting, Washington, United States",
    "workplace_type": "Onsite",
    "commitment_type": "Full Time",
    "compensation": "USD 80000 - 85000 Yearly",
    "compensation_currency": "USD",
    "compensation_frequency": "Yearly",
    "is_compensation_transparent": true,
    "yearly_min_compensation": 80000,
    "yearly_max_compensation": 85000,
    "date_posted": "2026-10-12T00:00:00.000Z",
    "date_posted_timestamp": 1791763200000,
    "description_html": "<p>Bachelor's degree in computer science, software engineering, computer engineering, electrical engineering or related field; 2+ years professional experience in software development, embedded systems, connected products, or software systems engineering.</p>",
    "description_text": "Bachelor's degree in computer science, software engineering, computer engineering, electrical engineering or related field; 2+ years professional experience in software development, embedded systems, connected products, or software systems engineering.",
    "description_is_full": false,
    "requirements_summary": "Bachelor's degree in computer science, software engineering, computer engineering, electrical engineering or related field; 2+ years professional experience in software development, embedded systems, connected products, or software systems engineering.",
    "technical_tools": ["C", "C#", "TypeScript", "SQL", "ASP.NET Core Web API", "Microsoft Azure", "REST APIs"],
    "role_type": "Individual Contributor",
    "role_activities": ["leading software projects", "coordinating development partners", "troubleshooting field issues"],
    "seniority_level": "Mid Level",
    "job_category": "Software Development",
    "security_clearance": "None",
    "language_requirements": ["English"],
    "workplace_countries": ["US"],
    "workplace_states": ["Washington, US"],
    "workplace_cities": ["Orting, Washington, US"],
    "workplace_physical_environment": "Office",
    "physical_labor_intensity": "Low",
    "physical_position": "Sitting",
    "computer_usage": "High",
    "cognitive_demand": "High",
    "visa_sponsorship": false,
    "relocation_assistance": false,
    "min_industry_and_role_yoe": 2,
    "degree_requirements": {
        "bachelors": {
            "requirement": "Required",
            "fields": ["computer science", "software engineering", "computer engineering", "electrical engineering"]
        }
    },
    "position_employer_type": "Internal Position",
    "company_website": "https://itw.com/",
    "company_sector": "Manufacturing",
    "company_industries": ["Diversified Manufacturing", "Machinery Manufacturing"],
    "company_activities": ["Industrial equipment manufacturing", "Fastener production"],
    "company_size": 43157,
    "company_founded_year": 1912,
    "company_tagline": "Global diversified industrial manufacturer of value-added consumables and specialty equipment.",
    "company_organization_type": "Public",
    "company_hq_country": "US",
    "company_stock_exchange": "NYSE",
    "company_stock_symbol": "ITW",
    "hiringcafe_url": "https://hiringcafe.com/jobs/phenompeople-careers-itw-com-jr10544",
    "alternate_sources": [
        {
            "id": "workday___itw-wd5-external___software-engineer_jr10544-1",
            "source": "workday",
            "board_token": "itw-wd5-external",
            "apply_url": "https://itw.wd5.myworkdayjobs.com/external/job/Orting---98360/Software-Engineer_JR10544-1",
            "location": "Orting, Washington, United States",
            "rank": 2
        }
    ],
    "url": "https://careers.itw.com/us/en/job/JR10544/Software-Engineer"
}

Tips for Best Results

• Use specific keywords - software engineer, data analyst, and product manager usually produce more relevant results than a broad word such as engineer.
• Resolve the location first - City, state, and country names are resolved automatically. A more specific location usually produces a smaller, more relevant result set.
• Start with 20 results - Review the dataset preview before increasing results_wanted.
• Use max_pages for coverage - The Actor stops when it reaches results_wanted, the last page, or the page cap.
• Keep descriptions off for large pulls - Listing summaries are fast. Turn on include_descriptions when full text matters more than speed.
• Expect optional fields - Salary, company profile data, benefits, and clearance information are only present when the source publishes them.
• Use consistent searches for monitoring - Keep the same keyword, location, and workplace type in scheduled runs so changes are easier to compare.

Integrations and Export Formats

• Google Sheets - Review jobs, compare compensation, and share hiring lists.
• Airtable - Build a searchable recruiting or labor-market database.
• Webhooks - Send completed run notifications or dataset links to another service.
• Make and Zapier - Route new job records into alerts, spreadsheets, and internal workflows.
• Apify API - Start runs and read dataset records from your own application.
• JSON - Use for application development, data warehouses, and AI workflows.
• CSV and Excel - Use for spreadsheet analysis and reporting.
• XML - Use when another system requires XML interchange.

Frequently Asked Questions

Can I search Hiring.Cafe by keyword and location?

Yes. Set keyword and location together. Add workplaceType to narrow the result set to Remote, Hybrid, or Onsite jobs.

Can I collect remote-only jobs?

Yes. Set workplaceType to Remote. The output keeps the source workplace classification in workplace_type.

Can I use a prepared Hiring.Cafe URL?

Yes. Put the prepared search URL in startUrl. If it contains a search state, URL mode is used and the keyword example/default is ignored. If the URL has no search state, keyword mode is used.

Does the Actor collect full job descriptions?

By default, it collects the description content available in listing results. Set include_descriptions to true to retrieve full descriptions where the source allows them. This is slower because it adds one paced request per saved job. If the source rate-limits the description service, the remaining listings keep their requirement summaries.

Why are salary or company fields missing?

Hiring.Cafe does not publish every field for every job. Missing salary, company profile, language, or clearance values usually reflect the source listing and are omitted from the record when unavailable.

How many jobs can I collect?

Set results_wanted to any value from 1 to 10,000. Hiring.Cafe serves roughly 250 pages per search, so very broad searches stop at that page limit even when the reported total is higher. Narrow the keyword, location, or workplace filter to reach a different slice of the market.

Can I run recurring Hiring.Cafe monitoring?

Yes. Create an Apify schedule with the same search inputs and connect the resulting dataset to a webhook, spreadsheet, or downstream application.

Can I export Hiring.Cafe data to CSV or Excel?

Yes. Apify datasets can be downloaded as JSON, CSV, Excel, XML, and other supported formats.

Is this Actor suitable for recruiting and market research?

Yes. The structured fields support job aggregation, hiring intelligence, salary comparison, skill-demand analysis, company research, and career-market monitoring.

Is collecting Hiring.Cafe data legal?

Public data collection can be subject to website terms, applicable laws, privacy requirements, and access restrictions. You are responsible for using the data lawfully and handling information responsibly.

Related Actors

• USA Jobs Scraper - Collect structured federal job listings from USAJobs.gov, including agencies, salaries, eligibility, and application dates.
• LinkedIn Job Scraper - Collect LinkedIn job listings with titles, companies, locations, salary information, and direct job URLs.
• Naukri Jobs Scraper - Collect Naukri job listings with company, salary, experience, location, skills, and description fields.

Support

For issues, feature requests, or source changes, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is intended for legitimate collection of publicly available job data. Users are responsible for complying with Hiring.Cafe terms, applicable laws, privacy requirements, and their organization's data-handling policies.