XING Jobs Scraper 🚀

Extract rich, structured job listings, AI salary estimates, company metadata, and full job descriptions from XING — Europe's leading professional business network across Germany, Austria, and Switzerland (DACH region).

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✨ Features

• 🔍 Dynamic Keyword & Location Search — Query any job title, role, or skill across German, Austrian, Swiss, or European cities.
• 💶 AI Salary Insights — Scrape minimum, maximum, median salaries, and currency estimates provided by XING's market benchmark models.
• 🏢 Company Intelligence — Extract verified company names, internal company IDs, and high-resolution company logos.
• 📝 Full Job Descriptions — Retrieve complete formatted descriptions including responsibilities, required skills, company profiles, and employee benefits.
• 🏠 Remote & Hybrid Policy — Filter and identify remote work options (Full Remote, Hybrid, On-site).
• 👔 Employment & Career Level — Extract contract types (Full-time, Part-time, Self-employed, Internship) and seniority level (Professional/Experienced, Executive, etc.).
• 🔗 Direct Application Links — Access third-party and employer direct apply URLs when available.
• ⚡ High-Speed Headless Crawling — Powered by Crawlee & Playwright with anti-blocking fingerprint rotation and resource optimization.
• 📑 Smart Multi-page Pagination — Automatically navigates through search result pages until reaching your requested maxJobs limit.

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💡 Use Cases

• DACH Recruitment & Headhunting: Discover active job postings across Germany, Austria, and Switzerland.
• Salary Benchmarking & Compensation Analysis: Analyze European tech, engineering, and management salary ranges.
• Market & Competitor Intelligence: Track hiring surges, tech stack requirements, and open positions across competitors.
• Lead Generation for B2B Services: Connect with companies actively scaling specific departments or engineering teams.

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📥 Input Parameters

Field	Type	Default	Description
keywords	string	"Software Engineer"	Job title or search terms (e.g. Data Scientist, DevOps Engineer, Marketing Manager).
location	string	"Germany"	City, region, or country (e.g. Berlin, Munich, Hamburg, Vienna, Zurich).
scrapeJobDetails	boolean	true	When enabled, visits individual listing pages to fetch full job descriptions, tasks, requirements, benefits, and logos.
maxJobs	integer	20	Maximum number of job postings to scrape (1–1000).
startUrls	array	[]	Optional list of specific XING search URLs or direct job posting URLs to scrape.
proxyConfiguration	object	RESIDENTIAL	Proxy settings. Using Apify Residential proxies is strongly recommended for reliable results.

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📤 Output Data Structure

The Actor pushes comprehensive job objects to the default Apify Dataset. Below is the full list of extracted fields:

Field	Type	Description
jobId	string	Unique identifier for the posting on XING.
title	string	Job title.
company	string	Employer or hiring agency name.
companyId	string	XING company ID.
companyLogo	string	URL of the company's 96px logo image.
location	string	Primary city / location.
locations	array[string]	All locations associated with the listing.
street	string	Street address (when disclosed).
zipCode	string	Postal / zip code.
region	string	Federal state or region (e.g. Baden-Württemberg, Bayern).
country	string	Country name (e.g. Germany, Austria, Switzerland).
countryCode	string	ISO two-letter country code (DE, AT, CH).
employmentType	string	Employment model (Full-time, Part-time, Self-employed, etc.).
remoteOption	string	Flexibility policy (Hybrid, Full Remote, On-site).
careerLevel	string	Career seniority level (Professional/Experienced, Entry Level, etc.).
discipline	string	Professional discipline / category.
industry	string	Industry sector of the hiring organization.
salaryMin	number	Estimated minimum annual salary.
salaryMax	number	Estimated maximum annual salary.
salaryMedian	number	Estimated median annual salary.
salaryCurrency	string	Currency code (EUR, CHF).
topJob	boolean	Indicates if the posting is a featured top job.
prioritized	boolean	Indicates if the listing has prioritized ranking.
paid	boolean	Indicates if the listing is a sponsored employer post.
postedDate	string	ISO timestamp when the job was posted / refreshed.
activeUntil	string	ISO timestamp until when the listing is active.
applyUrl	string	Direct application URL.
jobUrl	string	Canonical link to the job listing on XING.
description	string	Plain-text consolidated overview of the role.
responsibilities	string	Duties and core responsibilities.
skillsAndRequirements	string	Candidate profile, qualifications, and skills.
benefits	string	Company perks, compensation package, and benefits.
companyDescription	string	Employer profile and introduction.
contactInfo	string	Recruiter contact details and application instructions.
keywords	array[string]	Tags and keywords matched by XING.
language	string	Language code of the job listing (en, de).
source	string	Always "XING".
scrapedAt	string	ISO timestamp when the scraper processed the job.

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📊 Sample Output (JSON)

{
  "jobId": "157112449.f868db",
  "title": "Software Engineer (m/f/d) in Telemetry Team",
  "company": "Advantest Europe GmbH",
  "companyId": "53733.cb85b3",
  "companyLogo": "https://www.xing.com/imagecache/public/scaled_original_image/eyJ1dWlkIjoiODhiNGI0MTQtZTA5Ni00MGE5LTg4MDEtYzliNmEyMzY5NTFlIiwiYXBwX2NvbnRleHQiOiJlbnRpdHktcGFnZXMiLCJtYXhfd2lkdGgiOjk2LCJtYXhfaGVpZ2h0Ijo5Nn0?signature=272b3d21e911db4634c33a8af818892e3bcb63755cd5304effd9065e5097ff2e",
  "location": "Böblingen",
  "locations": [
    "Böblingen"
  ],
  "street": "Herrenberger Str. 130",
  "zipCode": "71034",
  "region": "Baden-Württemberg",
  "country": "Germany",
  "countryCode": "DE",
  "employmentType": "Full-time",
  "remoteOption": "Hybrid",
  "careerLevel": "Professional/Experienced",
  "discipline": "IT and software development",
  "industry": "Semiconductors and electronic components",
  "salaryMin": 66000,
  "salaryMax": 84000,
  "salaryMedian": 80500,
  "salaryCurrency": "EUR",
  "topJob": false,
  "prioritized": false,
  "paid": true,
  "postedDate": "2026-08-13T08:11:34.000Z",
  "activeUntil": "2027-08-10T00:12:36.000Z",
  "applyUrl": "https://www.jobware.de/job/software-engineer-m-f-d-in-telemetry-team.2031183355.html",
  "jobUrl": "https://www.xing.com/jobs/boeblingen-software-engineer-telemetry-team-157112449",
  "description": "Company:\nIoT, 5G and Artificial Intelligence. Unthinkable without us. As the global market leader of automated test systems...\n\nResponsibilities:\nWe are looking for a software engineer (m/f/d) with a background in systems programming and data engineering...\n\nSkills & Qualifications:\nBachelor's or master's degree in computer science, electrical engineering, or related field...\n\nBenefits & What We Offer:\nFlexible working hours, 30 vacation days, attractive bonus program, company pension scheme...",
  "responsibilities": "We are looking for a software engineer with systems programming experience to join our telemetry team...",
  "skillsAndRequirements": "Bachelor's or master's degree in computer science. Solid understanding of Linux, Git, and automated testing.",
  "benefits": "Flexible and trust-based working hours, 30 vacation days, mobile working, bonus program, pension scheme.",
  "companyDescription": "IoT, 5G and Artificial Intelligence. As the global market leader of automated test systems in semiconductor...",
  "contactInfo": "Take your next career step with us! Apply now via our online application tool.",
  "keywords": [
    "software",
    "engineer",
    "engineering",
    "linux",
    "cloud",
    "telemetry"
  ],
  "language": "en",
  "source": "XING",
  "scrapedAt": "2026-08-21T13:05:00.000Z"
}

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⚙️ Running via Apify API / Python / Node.js

Apify Python Client

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "keywords": "Data Engineer",
    "location": "Berlin",
    "maxJobs": 50,
    "scrapeJobDetails": True
}

run = client.actor("username/xing-jobs-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["company"], item["salaryMin"], item["salaryMax"])

Apify JavaScript / Node.js Client

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('username/xing-jobs-scraper').call({
    keywords: 'Full Stack Developer',
    location: 'Munich',
    maxJobs: 50,
    scrapeJobDetails: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Scraped ${items.length} jobs:`, items);

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🔒 Tips & Best Practices

1. Use Residential Proxies: XING employs anti-scraping protections. Always keep Apify Residential proxies enabled for production runs.
2. Speed Optimization: When you only need high-level lists and salary benchmarks without full body text, set "scrapeJobDetails": false for ultra-fast scraping.
3. DACH Regional Scope: XING is heavily focused on Germany (DE), Austria (AT), and Switzerland (CH). Job queries for these regions yield the highest volume and richest data.