Hiring.Cafe Jobs Scraper

Extract structured job listings from Hiring.Cafe at scale. 100+ fields per job including salary, company funding data, benefits, certifications, and geo coordinates.

Why This Scraper?

Fast. Each API call returns ~150 jobs. Scrape 500 jobs in under 30 seconds, 1,000 jobs in under a minute (after initial Cloudflare solve). Results are pushed incrementally so you can start processing before the run finishes.

More Filters. Employment type, seniority level, salary transparency, and date range filters that no other Hiring.Cafe scraper on Apify offers.

Direct Job URLs. Paste /viewjob/ links alongside search URLs to scrape individual listings with full data.

Total Count. Shows how many jobs match your search before scraping begins.

How It Works

Option 1: Search by URL

Paste one or more search URLs from hiring.cafe. Go to hiring.cafe, apply your filters, then copy the URL from the address bar.

You can also paste direct job URLs (/viewjob/...) to scrape individual listings.

Option 2: Search by Filters

Use keyword, location, and advanced filters without building URLs.

{
  "keyword": "python developer",
  "location": "United States",
  "workplaceType": "Remote",
  "commitmentType": "Full Time",
  "seniorityLevel": "Senior Level",
  "salaryTransparentOnly": true,
  "maxItems": 500
}

Filter Options

Filter	Options	Default	Competitors
Keyword	Any text	(empty)	All have
Location	Country or city	(worldwide)	All have
Workplace Type	Remote, Hybrid, Onsite, Any	Any	All have
Employment Type	Full Time, Part Time, Contract, Internship, Any	Any	Only us
Seniority Level	Entry, Mid, Senior, No Experience, Any	Any	Only us
Posted Within	1 to 365 days	30	Only us
Salary Transparent	true or false	false	Only us

Note: Hiring.Cafe uses relevance based search. Keyword and employment type are hard filters. Workplace type and seniority level influence ranking but are soft filters. For precise filtering, use URL mode with a hiring.cafe URL where you applied filters directly on the website.

Output Structure (100+ fields)

Output preserves the native Hiring.Cafe nested format, fully compatible with other Hiring.Cafe scrapers on Apify.

Top Level Fields

id, board_token, source, apply_url, job_url, requisition_id, is_expired

Job Info

title, job_title_raw, description (full HTML)

Job Details (91 fields)

Category	Sample Fields
Title and Summary	core_job_title, requirements_summary, job_category
Skills	technical_tools[], licenses_or_certifications[]
Education	bachelors, masters, doctorate degree requirement, fields_of_study[]
Experience	min_industry_and_role_yoe, min_management_and_leadership_yoe
Employment	commitment[], role_type, seniority_level, workplace_type
Location	formatted_workplace_location, workplace_cities, states, countries[]
Compensation	yearly, monthly, weekly, hourly min and max compensation, currency
Benefits	visa_sponsorship, 401k_matching, four_day_work_week, retirement_plan
Work Conditions	physical_labor_intensity, travel_requirement, shift_work
Languages	language_requirements[], num_language_requirements

v5_processed_company_data (19 fields)

name, homepage_uri, industries[], nb_employees, year_founded, hq_country, organization_type, latest_funding_type, latest_funding_amount, investors[], stock_exchange, stock_symbol

Geoloc

lat, lon

Example Output

{
  "id": "lever___example___12345",
  "source": "lever",
  "board_token": "example",
  "apply_url": "https://jobs.lever.co/example/12345",
  "job_url": "https://hiring.cafe/viewjob/abc123xyz",
  "is_expired": false,
  "job_information": {
    "title": "Backend Engineer",
    "description": "<p>Job description HTML content...</p>"
  },
  "v5_processed_job_data": {
    "core_job_title": "Backend Engineer",
    "commitment": ["Full Time"],
    "seniority_level": "Mid Level",
    "workplace_type": "Remote",
    "formatted_workplace_location": "New York, New York, United States",
    "yearly_min_compensation": 120000,
    "yearly_max_compensation": 160000,
    "listed_compensation_currency": "USD",
    "is_compensation_transparent": true,
    "technical_tools": ["Node.js", "PostgreSQL", "AWS"],
    "visa_sponsorship": false,
    "company_name": "Example Inc"
  },
  "v5_processed_company_data": {
    "name": "Example Inc",
    "nb_employees": 200,
    "year_founded": 2018,
    "hq_country": "US",
    "organization_type": "Private",
    "latest_funding_type": "Series A",
    "latest_funding_amount": 15000000
  },
  "_geoloc": [{"lat": 40.7128, "lon": -74.006}]
}

Input Options

Field	Description	Default
Start URLs	Search URLs or job URLs from hiring.cafe
Keyword	Job title, skills, or company name
Location	Country or city	(worldwide)
Workplace Type	Remote, Hybrid, Onsite, Any	Any
Employment Type	Full Time, Part Time, Contract, Internship, Any	Any
Seniority Level	Entry, Mid, Senior, Any	Any
Posted Within	Days since posted (1 to 365)	30
Salary Transparent	Only jobs with disclosed salary	false
Max Jobs	Maximum listings to scrape	1000

Tips

The total count shows before scraping so you know the search size upfront.

You can combine /viewjob/ URLs with search URLs in a single run.

For precise location filtering, apply your filters on hiring.cafe first, then paste the URL into Start URLs.