Hiring.Cafe Job Scraper — Remote Tech Jobs, Transparent Salary Bands & Filters

High-performance, production-grade Apify Actor to extract job postings from Hiring.cafe. Extracts complete job data including job IDs, full descriptions, salary ranges, company intelligence, technical requirements, visa sponsorship, and location data at lightning speed.

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💰 Pricing (Pay-Per-Event)

This actor operates on a pay-as-you-go Pay-Per-Event (PPE) pricing model. You only pay for what you extract:

Event Name	Purpose	Price (USD)	Description
apify-default-dataset-item	result	$0.00125	Single result in the default dataset.
apify-actor-start	Actor Start	$0.005	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).

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⚡ Why Use This Scraper Over Alternatives?

Unlike traditional browser-based scrapers (Puppeteer/Playwright) that waste memory, time, and proxy bandwidth:

• Pure HTTP-First Architecture: Powered by Crawlee CheerioCrawler and got-scraping directly parsing server-side Next.js data with zero Chromium overhead.
• Ultra-Fast & Cost-Efficient: Up to 10x faster and consumes a fraction of memory, keeping your compute and proxy costs minimal.
• Pay-Per-Event (PPE) Pricing: Pay only for successful starts ($0.005) and extracted dataset items ($0.00125).
• Intelligent Cloudflare Circumvention: Uses modern Chrome TLS fingerprinting, realistic HTTP/2 frame ordering, and rotating residential proxies to bypass bot mitigation seamlessly.
• Rich Structured Fields: Extracts salary min/max, compensation currency & frequency, workplace type (Remote/Hybrid/Onsite), required tech stack, YOE, visa sponsorship, and company metadata (size, industry, website).
• Flexible Modes:
  • Start URLs: Accepts search URLs (https://hiring.cafe/?searchState=...), company pages (https://hiring.cafe/org/...), or direct job detail URLs (https://hiring.cafe/job/...).
  • Search by Keywords: Run custom search queries and workplace filters directly without needing to open the browser.

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📥 Input Parameters

Field	Type	Default	Description
startUrls	Array	[{"url": "https://hiring.cafe/"}]	List of Hiring.cafe URLs to scrape (search pages, company pages, or single jobs).
searchQuery	String	"Remote Full Stack Engineer"	Free-text keyword / job title search filter (used if no search URL is given).
workplaceType	String	"Any"	Filter by workplace type: "Any", "Remote", "Hybrid", or "Onsite".
maxItems	Integer	50	Maximum number of job postings to collect (1 - 50,000).
proxy	Object	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}	Apify Proxy configuration. Residential proxies recommended.

Sample Input JSON

{
  "startUrls": [
    {
      "url": "https://hiring.cafe/?searchState=%7B%22searchQuery%22%3A%22software%20engineer%22%7D"
    }
  ],
  "searchQuery": "Software Engineer",
  "workplaceType": "Remote",
  "maxItems": 100,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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📤 Output Data Structure

Each job posting pushed to the default dataset contains normalized and structured fields:

Field	Type	Description
jobId	String	Unique identifier of the job posting
title	String	Job title
company	String	Employer or company name
minSalary	Number | null	Minimum annual compensation (if available)
maxSalary	Number | null	Maximum annual compensation (if available)
location	String	Formatted workplace location or city/state/country
applyLink	String	Direct external application link or job URL
salaryCurrency	String | null	Currency of the compensation (e.g. USD, EUR)
salaryPeriod	String | null	Frequency (e.g. Yearly, Monthly, Hourly)
workplaceType	String | null	Remote, Hybrid, or Onsite
seniorityLevel	String | null	Entry Level, Mid Level, Senior Level, etc.
commitment	Array<String> | null	Employment commitment (e.g. ["Full Time"])
technicalTools	Array<String> | null	Extracted tech stack tools and frameworks
requirementsSummary	String | null	AI-summarized requirements & qualifications
datePosted	String | null	ISO timestamp of when the job was posted
companyWebsite	String | null	Official company website domain or URL
companyIndustry	Array<String> | null	Company industry categories
companySize	Number | null	Estimated number of employees
companyHqCountry	String | null	Headquarters country code
visaSponsorship	Boolean | null	Flag indicating whether visa sponsorship is offered
relocationAssistance	Boolean | null	Flag indicating whether relocation support is provided
geoloc	Array<Object> | null	Latitude and longitude coordinates
requisitionId	String | null	Internal Hiring.cafe 16-character requisition identifier
sourceUrl	String	Source URL that produced this record

Sample Output Record

{
  "jobId": "taleo_careersection_nato_261556",
  "title": "Senior Logistician",
  "company": "NATO Communications and Information Agency",
  "minSalary": 63127.8,
  "maxSalary": 63127.8,
  "location": "Geilenkirchen, North Rhine-Westphalia, Germany",
  "applyLink": "https://nato.taleo.net/careersection/1/jobdetail.ftl?job=261556&lang=en",
  "salaryCurrency": "EUR",
  "salaryPeriod": "Monthly",
  "workplaceType": "Onsite",
  "seniorityLevel": "Mid Level",
  "commitment": ["Full Time"],
  "technicalTools": ["Oracle EBA", "CNAFS", "CableSolve"],
  "requirementsSummary": "Higher vocational training with 2 years post-related experience or secondary education with 4 years; 2-4 years supply/logistics experience; ERP/logistics systems experience (Oracle EBA or CNAFS); thorough knowledge of one NATO language; NATO Secret clearance.",
  "datePosted": "2026-09-27T23:08:18.964Z",
  "companyWebsite": "nato.int",
  "companyIndustry": [
    "Military & Defense",
    "International & Intergovernmental Organizations"
  ],
  "companySize": 6000,
  "companyHqCountry": "BE",
  "visaSponsorship": false,
  "relocationAssistance": false,
  "geoloc": [
    {
      "lat": 50.9673,
      "lon": 6.1176
    }
  ],
  "requisitionId": "aonn6ilnhzc2901d",
  "sourceUrl": "https://hiringcafe.com/"
}

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🔍 How to Integrate via API

Call this Actor using the Apify API:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const run = await client.actor('MadeInGermany/apify-hiring-cafe-scraper').call({
    searchQuery: 'Backend Engineer Python',
    workplaceType: 'Remote',
    maxItems: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

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🏷️ Tags & Categories

hiring-cafe, hiringcafe, job-scraper, jobs, remote-jobs, recruitment, career, hiring, employment, salary-data, lead-generation