Pricing

Rating

Developer

Actor stats

Categories

Share

Hiring.cafe Job Scraper

There are two versions of the Hiring.cafe Job Scraper available:

• Rentable Version: Hiring.cafe Job Scraper (Rent)
• Pay Per Result Version: Hiring.cafe Job Scraper (Pay Per Result)

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by HiringCafe, Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

Overview

This actor allows you to scrape detailed job listings from Hiring.cafe, a platform that aggregates job postings from various sources. You can use this tool to gather comprehensive job data including position details, company information, requirements, and more. This information is valuable for job market research, competitive analysis, and talent acquisition strategies.

Features

• Extract detailed job information including titles, descriptions, requirements, and application details.
• Capture comprehensive company information for each job listing.
• Gather detailed employment requirements including education levels, experience, and skills.
• Collect compensation and benefit information when available.
• Built-in proxy configuration for reliable and anonymous scraping.

How to Use

1. Set Up: Ensure you have an Apify account and access to the Apify platform.
2. Configure Search Parameters: Set up your search criteria including job titles, locations, and other filters.
3. Adjust Scraper Settings: Modify settings like maxItems, maxConcurrency, and minConcurrency to suit your requirements.
4. Configure Proxy Settings: (Optional) Configure proxy settings for better reliability and to avoid IP blocks.
5. Run the Scraper: Execute the scraper on the Apify platform. The output will be available in various formats like JSON, CSV, or Excel.

Input Configuration

Here's an example of how to set up the input for the Hiring.cafe Job Scraper:

{
"startUrls":[
"https://hiring.cafe/?searchState=%7B%22sortBy%22%3A%22date%22%2C%22dateFetchedPastNDays%22%3A2%7D",
"https://hiring.cafe/?company=Z3JuaHNlX19fZ2Vuc3luX19fR2Vuc3luX19fZ2Vuc3luLmFp&searchState=%7B%22sortBy%22%3A%22date%22%2C%22dateFetchedPastNDays%22%3A2%7D"
],
"maxItems":100,
"maxConcurrency":5,
"minConcurrency":1,
"maxRequestRetries":3,
"proxyConfiguration":{
"useApifyProxy":true
}
}

Input Fields Explanation

• Start URLs (startUrls): URLs of Hiring.cafe job search pages to scrape from, here is one example: https://hiring.cafe/?searchState=%7B%22sortBy%22%3A%22date%22%2C%22dateFetchedPastNDays%22%3A2%7D.
• Max Items to Scrape (maxItems): Maximum number of job listings to scrape in a single run. Default is 100.
• Max Concurrency (maxConcurrency): Maximum number of pages that can be processed simultaneously. Default is 5.
• Min Concurrency (minConcurrency): Minimum number of pages that will be processed simultaneously. Default is 1.
• Max Request Retries (maxRequestRetries): Number of times the scraper will retry a failed request before giving up. Default is 3.
• Proxy Configuration (proxy): Specifies proxy servers that will be used by the scraper to ensure anonymity and bypass rate limits. For more details, refer to the Proxy configuration.

Output Structure

The scraper produces a list of job listings, with each job's information containing fields like:

{
"id":"avature___rohde-schwarz___13391",
"board_token":"rohde-schwarz",
"source":"avature",
"apply_url":"https://jobs.rohde-schwarz.com/en_US/careers/JobDetail/Werkstudent-im-Bereich-Software-Entwicklung/13391",
"source_and_board_token":"avature_rohde-schwarz",
"job_information":{
"title":"Werkstudent im Bereich Software Entwicklung (w/m/d)",
"description":"Wir suchen zum nächstmöglichen Zeitpunkt Verstärkung für unser Team. Übernehmen Sie interessante Aufgaben und verwirklichen Sie mit uns Ihre Ideen!"
},
"v5_processed_job_data":{
"core_job_title":"Working Student",
"requirements_summary":"Looking for a working student to take on interesting tasks and realize ideas with the team.",
"technical_tools":[],
"licenses_or_certifications":[],
"associates_degree_requirement":"Not Mentioned",
"associates_degree_fields_of_study":[],
"bachelors_degree_requirement":"Required",
"bachelors_degree_fields_of_study":[
"Software Engineering",
"Computer Science"
],
"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":0,
"401k_matching":false,
"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":"Software Development",
"role_activities":[
"Taking on tasks",
"Realizing ideas"
],
"commitment":[
"Part Time"
],
"role_type":"Individual Contributor",
"seniority_level":"No Prior Experience Required",
"workplace_countries":[
"DE"
],
"boundless_workplace_states":[],
"boundless_workplace_countries":[],
"boundless_workplace_continents":[],
"workplace_continents":[
"Europe"
],
"workplace_states":[],
"workplace_cities":[
"Siegburg, null, DE"
],
"workplace_counties":[],
"workplace_type":"Onsite",
"workplace_physical_environment":"Office",
"oral_communication_level":"Medium",
"physical_labor_intensity":"Low",
"physical_position":"Sitting",
"computer_usage":"High",
"cognitive_demand":"Medium",
"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":"Siegburg, Germany",
"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":[
"German"
],
"num_language_requirements":1,
"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":"2025-07-16T17:06:12.379Z",
"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":true,
"is_driver_license_required":false,
"is_compensation_transparent":false,
"listed_compensation_currency":"EUR",
"listed_compensation_frequency":"Hourly",
"security_clearance":"None",
"position_employer_type":"Internal Position",
"company_name":"Schönhofer Sales & Engineering GmbH",
"company_website":"https://jobs.rohde-schwarz.com",
"company_sector_and_industry":"Information Technology",
"company_activities":[
"Sales",
"Engineering"
],
"company_tagline":"A company focused on making ideas real to ensure a safer and connected world."
},
"v5_processed_company_data":{
"name":"Schönhofer Sales & Engineering GmbH",
"image_url":null,
"subsidiaries":[],
"parent_company":null,
"website":"https://jobs.rohde-schwarz.com",
"linkedin_url":null,
"industries":[
"Information Technology"
],
"activities":[
"Sales",
"Engineering"
],
"tagline":"A company focused on making ideas real to ensure a safer and connected world.",
"is_non_profit":false,
"is_public_company":null,
"is_dissolved":null,
"is_acquired":null,
"num_employees":null,
"year_founded":null,
"headquarters_country":null,
"total_funding_amount":null,
"total_funding_currency":null,
"latest_investment_amount":null,
"latest_investment_currency":null,
"latest_investment_year":null,
"latest_investment_series":null,
"investors":[],
"stock_exchange":null,
"stock_symbol":null,
"latest_revenue":null,
"latest_revenue_currency":null,
"latest_revenue_year":null
},
"_geoloc":[
{
"lat":50.7333,
"lon":7.5667
}
],
"objectID":"avature___rohde-schwarz___13391"
}

Output Fields Explanation

Job Identification

• id: Unique identifier for the job listing (e.g., "avature___rohde-schwarz___13391")
• board_token: Identifier for the job board (e.g., "rohde-schwarz")
• source: Source system of the job listing (e.g., "avature")
• source_and_board_token: Combined source and board identifier
• apply_url: Direct URL to apply for the position
• objectID: Internal identifier used by the search system

Job Information

• job_information: Object containing:
  • title: Job title in original language
  • description: Detailed job description

Processed Job Data (v5_processed_job_data)

• core_job_title: Standardized job title
• requirements_summary: Summary of job requirements
• technical_tools: List of technical skills or tools required
• licenses_or_certifications: Required professional certifications
• education_requirements: Object containing degree requirements for different education levels
• job_category: Industry category of the position (e.g., "Software Development")
• role_activities: Array of key responsibilities and tasks
• commitment: Employment type (e.g., ["Part Time"])
• role_type: Type of role (e.g., "Individual Contributor")
• seniority_level: Experience level required (e.g., "No Prior Experience Required")
• workplace_type: Onsite/Remote/Hybrid
• workplace_location: Formatted location string (e.g., "Siegburg, Germany")
• language_requirements: Array of required languages
• compensation: Object containing salary/rate information when available
• benefits: Object containing various employment benefits
• visa_sponsorship: Boolean indicating if visa sponsorship is available
• relocation_assistance: Boolean indicating if relocation assistance is provided

Company Information (v5_processed_company_data)

• name: Company name
• website: Company website URL
• industries: Array of industry sectors
• activities: Array of company activities
• tagline: Company description or tagline
• company_size: Number of employees (when available)
• year_founded: Year company was founded (when available)
• headquarters_country: Country where company is headquartered
• total_funding_amount: Total funding received
• latest_revenue: Most recent revenue figure (when available)

Location Data

• _geoloc: Array containing geographic coordinates of the job location
  • lat: Latitude
  • lon: Longitude

Explore More Job Scrapers

If you found this Apify Smartbuyglasses Scraper useful, be sure to check out our other powerful scrapers and actors at memo23's Apify profile. We offer a wide range of tools to enhance your web scraping and automation needs across various platforms and use cases.

Support

• For issues or feature requests, please use the Issues section of this actor.
• If you need customization or have questions, feel free to contact the author:
  • Author's website: https://muhamed-didovic.github.io/
  • Email: muhamed.didovic@gmail.com

Additional Services

• Request customization or whole dataset: muhamed.didovic@gmail.com
• If you need anything else scraped, or this actor customized, email: muhamed.didovic@gmail.com
• For API services of this scraper (no Apify fee, just usage fee for the API), contact: muhamed.didovic@gmail.com
• Email: muhamed.didovic@gmail.com