Xing Jobs Scraper – DACH Job Listings, Salaries & Companies

Extract job listings from Xing.com, the leading professional network in the DACH region (Germany, Austria, Switzerland), in minutes. This Xing jobs scraper turns any keyword into a clean, structured database of job postings — complete with job title, company, location, salary range, employment type, posting date and apply URL — ready for recruiting, salary benchmarking, job-market research and lead generation.

Export everything as JSON, CSV, Excel, or via API — no login, no manual copy-paste, no coding required.

💡 Built for recruiters, sourcers, HR teams, job boards, market researchers and sales teams that target the German-speaking (DACH) market.

---

🔎 Why scrape Xing jobs?

Xing is the dominant professional network and job board in the DACH region, with millions of job seekers and thousands of new postings every day. Its job listings are a goldmine for anyone hiring, selling to HR, or researching the German-speaking labour market — and unlike many job boards, Xing publishes salary ranges right on the listing.

But Xing has no public bulk export, and copying listings by hand is slow. This scraper automates the whole process: you give it keywords (and optionally a city), and it returns hundreds of clean job records you can filter, sort and import anywhere.

Common reasons people scrape Xing jobs:

• Build talent-sourcing and recruiting pipelines for the DACH market
• Benchmark salaries by role, seniority and location
• Track competitor hiring — who's hiring for what, where
• Power a job board or aggregator with fresh DACH listings
• Generate leads for recruiting/HR-tech vendors (companies that are actively hiring)
• Run labour-market and talent-demand research

---

✨ What this Xing jobs scraper does

• ✅ Searches Xing jobs by any keyword (e.g. software engineer, marketing manager, Projektleiter)
• ✅ Optional city/region targeting (Berlin, München, Wien, Zürich…)
• ✅ Returns hundreds of jobs per keyword with automatic pagination (de-duplicated by job ID)
• ✅ Captures job title, company, location, salary range, employment type, posting date, urgency flag and apply URL
• ✅ Parses salary into numeric min/max for easy sorting and analysis
• ✅ Exports to JSON, CSV, Excel, XML and integrates with Google Sheets, Make, Zapier, Slack and your own apps
• ✅ Fast and reliable — Xing renders listings server-side, so no fragile headless browser needed

---

🎯 Use cases

1. Recruiting & talent sourcing

Build lists of open roles in your niche across the DACH region. Each listing includes the company, location and apply URL, so recruiters and sourcers can map demand, find hiring companies and reach out fast.

2. Salary benchmarking

Xing publishes salary ranges on many listings. Pull a role across cities and seniorities to benchmark compensation — invaluable for HR, comp & benefits teams and candidates negotiating offers.

3. Competitor hiring intelligence

Track which companies are hiring, for which roles, in which cities, and how urgently. A spike in postings is a strong signal of growth, new initiatives or team expansion.

4. Job board & aggregator content

Feed a job board, vertical aggregator or internal portal with fresh, structured DACH listings — title, company, location, salary, type and apply link — updated on a schedule.

5. Lead generation for HR-tech & staffing

Companies posting jobs are active buyers for recruiting tools, staffing agencies and HR services. Use the company + role data to build targeted, timely prospect lists.

6. Labour-market & talent-demand research

Quantify demand for skills and roles across Germany, Austria and Switzerland — which functions are in demand, where, and at what pay — for analysts, consultancies and workforce planners.

---

🌍 Built for the DACH market

Xing is the go-to professional platform in Germany, Austria and Switzerland. This scraper is tuned for that market: it understands German-language listings (Vollzeit/Teilzeit, salary in € and CHF, German posting dates like "Vor 2 Tagen") and lets you target cities like Berlin, München, Hamburg, Köln, Frankfurt, Wien and Zürich via the location input.

---

💼 Popular job searches

You can scrape any keyword. Popular roles recruiters and researchers track on Xing include:

• Tech — software engineer, DevOps engineer, data scientist, IT project manager, cloud architect, cybersecurity
• Engineering — Maschinenbau, Elektrotechnik, Konstrukteur, Projektingenieur, Qualitätsmanagement
• Business & sales — sales manager, account executive, business development, Vertrieb, key account
• Marketing — marketing manager, online marketing, SEO, content manager, social media
• Finance — controller, accountant, Buchhalter, financial analyst, Steuerberater
• Healthcare — Pflegefachkraft, Arzt, medical, pharma
• Skilled trades — Elektriker, Mechatroniker, Techniker, Meister

Pair any role with a city via the location input for a focused, market-specific search.

🏙️ Supported cities & regions

Xing covers the entire DACH market. Popular location values:

• Germany — Berlin, München, Hamburg, Köln, Frankfurt, Stuttgart, Düsseldorf, Leipzig
• Austria — Wien, Graz, Linz, Salzburg
• Switzerland — Zürich, Genf, Basel, Bern

Salaries are returned in € for Germany/Austria and CHF for Switzerland, and the scraper parses both into numeric ranges.

⚙️ How it works

1. Enter one or more job keywords — exactly what you'd type into Xing job search.
2. Optionally set a location and how many jobs you want per keyword.
3. Run the Actor — it collects, de-duplicates and structures the data, then makes it available for download or via API.

No login, no captcha solving, and a sensible proxy default (DE) is built in.

---

🔧 Input parameters

Parameter	Type	Required	Description
queries	array	✅ Yes	Job search keywords (e.g. software engineer, Projektleiter).
location	string	No	City or region to bias the search (Berlin, München, Wien…). Leave empty for everywhere.
maxItemsPerQuery	integer	No	Max jobs to collect per keyword. ~20 per page, paginated automatically. Default 60.
proxyConfiguration	object	No	Apify Proxy settings. A DE/EU proxy is recommended for the DACH market.

Example input — simple job search

{
    "queries": ["software engineer"],
    "maxItemsPerQuery": 100
}

Example input — role in a specific city

{
    "queries": ["marketing manager"],
    "location": "Berlin",
    "maxItemsPerQuery": 80
}

Example input — multiple roles

{
    "queries": ["data analyst", "data engineer", "data scientist"],
    "location": "München",
    "maxItemsPerQuery": 150
}

---

📤 Output

The Actor stores one row per job listing. Data can be downloaded as JSON, CSV, Excel, XML or pulled via the Apify API.

Sample output record

{
    "jobTitle": "Senior Software Engineer (m/w/d)",
    "company": "Spaceteams GmbH",
    "location": "Hamburg",
    "additionalLocations": 0,
    "employmentType": "Full-time",
    "salary": "70.000 € – 80.000 €",
    "salaryMin": 70000,
    "salaryMax": 80000,
    "postedDate": "Vor 3 Tagen",
    "isUrgent": false,
    "jobId": "154078182",
    "jobUrl": "https://www.xing.com/jobs/hamburg-senior-software-engineer-154078182",
    "searchKeyword": "software engineer",
    "scrapedAt": "2026-05-25T18:00:00.000Z"
}

Output fields reference

Field	Description
jobTitle	Job title
company	Hiring company
location	Primary job location (city)
additionalLocations	Count of extra locations ("+ N weitere")
employmentType	Full-time, Part-time, Contract, Internship…
salary	Salary range as shown, e.g. 70.000 € – 80.000 €
salaryMin / salaryMax	Salary range parsed into numbers
postedDate	When the job was posted (e.g. Vor 3 Tagen)
isUrgent	Whether the listing is flagged urgent ("Dringend gesucht")
jobId	Xing job ID (used for de-duplication)
jobUrl	Direct link to the job listing
searchKeyword	The keyword this record came from
scrapedAt	Timestamp of extraction

---

✅ Proven results (real run)

A real run for software engineer returned clean, structured listings with:

Field	Fill rate
jobTitle, company, location, employmentType, jobId, jobUrl	100%
salary & numeric salary range	~95% (Xing shows salary on most listings)
postedDate	most listings (varies by recency format)

Salary parsing works on German number formats (e.g. 60.000 € – 79.500 € → min 60000, max 79500), and every job is de-duplicated by its Xing job ID.

⭐ What makes this scraper stand out

• Salary ranges, parsed. Not just the text — numeric salaryMin/salaryMax for instant sorting and benchmarking.
• DACH-native. Handles German employment types, currencies and posting dates correctly.
• No headless browser. Xing renders server-side, so runs are fast and cheap.
• Clean, de-duplicated output ready for spreadsheets, BI tools or your CRM.

---

🛠️ Example workflows

Here are concrete ways teams use this Xing jobs scraper end to end:

Recruiting pipeline. Run your target roles for a city each morning, push new listings to Google Sheets via the Apify integration, and let your sourcers work the fresh list — hiring company, location and apply link included.

Salary benchmark. Scrape one role (e.g. data engineer) across Berlin, München and Hamburg, export to CSV, and pivot salaryMin/salaryMax by city to produce a compensation report in minutes.

Competitor hiring monitor. Schedule weekly runs for the roles your competitors hire for, store each dataset, and chart posting volume over time — spikes reveal expansion and new initiatives before press releases do.

HR-tech lead list. Companies posting many roles are active buyers for staffing and HR software. Scrape a sector's roles, group by company, rank by posting count, and hand sales a timely, prioritized prospect list.

Job board feed. Pull fresh DACH listings on a schedule and pipe the structured output (title, company, location, salary, type, apply URL) straight into your job board or aggregator via webhook or API.

These pipelines need zero code — combine the Actor with Apify Schedules, integrations and webhooks.

🔌 Integrations

Send your Xing jobs data anywhere with Apify's built-in integrations and webhooks:

• Google Sheets — push job lists straight into a spreadsheet
• Make (Integromat) & Zapier — trigger workflows on every run
• Slack / email — get notified when new jobs are scraped
• ATS / CRM / databases — via API, webhooks or no-code connectors
• Your own app — pull results through the Apify API in JSON

---

▶️ How to use this Xing jobs scraper (step by step)

1. Click Try for free at the top of this page.
2. In the Input tab, add your keywords under queries.
3. Optionally set a location and the maxItemsPerQuery you need.
4. Click Start and wait for the run to finish.
5. Open the Output / Dataset tab and download your data as JSON, CSV or Excel, or copy the API endpoint to pull it programmatically.

You can also schedule the Actor to run daily/weekly to keep your job data fresh.

---

❓ Frequently asked questions

Does it include salary data? Yes — Xing shows salary ranges on most listings, and the scraper returns both the text (salary) and parsed salaryMin/salaryMax numbers.

Can I search in a specific city? Yes — set the location parameter (e.g. Berlin, München, Wien, Zürich) to bias results toward that area.

How many jobs can I get? Xing paginates results, so a single keyword can return many hundreds of jobs. Set maxItemsPerQuery to your target.

Does it work for Austria and Switzerland too? Yes — Xing covers the whole DACH region. Use location with Austrian or Swiss cities, and the scraper handles € and CHF salaries.

Will I get duplicate jobs? No. Listings are de-duplicated by Xing job ID, so overlapping keywords won't create duplicate rows.

Does it need a Xing login? No. The scraper reads public job search results — no account, no captcha solving.

What export formats are supported? JSON, CSV, Excel (XLSX), XML and RSS — plus direct API access.

Can I run it on a schedule? Yes. Use Apify Schedules to run the scraper automatically and keep your job database current.

How fresh is the data? Every run scrapes Xing live, so listings reflect what's posted at the time you run it. Schedule recurring runs to catch new postings.

Is scraping Xing legal? This Actor collects only publicly available job listings. You are responsible for using the data in compliance with Xing's terms of use and applicable laws (including data-protection rules such as GDPR where relevant).

Why does it need a residential proxy? Xing refuses datacenter IP addresses, so the Actor defaults to a residential DE proxy. This is built in — you don't need to configure anything for it to work out of the box.

Can I track competitor hiring over time? Yes. Schedule the Actor to run regularly for your competitors' typical roles and locations; a rising number of postings is a strong growth signal. Export each run and compare over time.

Can I get jobs from a specific company? Search the role keywords you care about and filter the output by the company field, or add the company name to your keyword. Every record includes the hiring company.

Does it return remote jobs? Remote and hybrid roles appear in the results like any other listing; the location and title usually indicate remote eligibility (e.g. "Remote", "Homeoffice").

How do I build a salary benchmark report? Run a role across several cities, export to a spreadsheet, and analyze salaryMin/salaryMax by location and seniority — a ready-made compensation benchmark for the DACH market.

What happens if a keyword returns no salary? Salary is shown only where the employer publishes it. Listings without a salary simply have empty salary/salaryMin/salaryMax fields; all other data is still captured.

---

💡 Tips & best practices

• Use specific keywords. senior backend engineer returns more relevant roles than just engineer. Combine related keywords for broader coverage.
• Target a city with location to focus on a single market and cut noise.
• Set a realistic maxItemsPerQuery. 100–300 per keyword suits most recruiting and research projects.
• Export to a spreadsheet and sort by salaryMax to find the best-paying roles, or by postedDate for the freshest listings.
• Watch isUrgent — urgently flagged roles are strong, time-sensitive outreach targets.
• Schedule recurring runs to monitor new postings and hiring trends over time.
• De-duplication is automatic — feel free to add overlapping keywords.
• Run roles separately to keep your output clean and easy to segment by function.
• Use German keywords for German-market roles (e.g. Vertrieb vs sales) to maximize relevant results.
• Combine with Apify Schedules to capture new postings the day they go live — recruiting is a speed game.
• Filter the output by employmentType to focus on full-time, part-time or contract roles as needed.

---

⚠️ Limitations

• Salary appears only on listings where the employer publishes it; some roles will have empty salary fields.
• Posting-date format varies by recency; very fresh or undated listings may have an empty postedDate.
• Result volume per keyword depends on how many jobs Xing lists for that term and location.

---

📊 Data quality & reliability

This scraper is built to give you clean, analysis-ready data:

• De-duplicated by Xing job ID — overlapping keywords never create duplicate rows.
• Salary parsed into numbers — salaryMin/salaryMax are real integers, so you can sort, filter and average without cleanup.
• DACH-aware parsing — German employment types (Vollzeit/Teilzeit), € and CHF currencies, and German posting dates are handled correctly.
• Server-side rendered source — Xing serves listings as HTML, so extraction is fast and stable without a headless browser.
• Residential proxy by default — works out of the box against Xing's IP rules.

Every field is documented above, exports cleanly to JSON/CSV/Excel, and drops straight into spreadsheets, BI tools, your ATS or CRM.

❔ Need company or people data too?

This Actor focuses on job listings — the highest-value, most-requested Xing dataset for recruiting and market research. If you also need Xing company profiles or people data, let us know via the Actor's issues page so we can prioritize it.

🌐 About Xing & the DACH job market

Xing (owned by New Work SE) is the leading professional network in the German-speaking world, with a strong focus on Germany, Austria and Switzerland. For recruiters and researchers targeting these markets, Xing is often more relevant than global platforms because:

• It is DACH-native — most listings, companies and candidates are local to the region.
• It publishes salary ranges openly on many job listings, which is rare among job boards.
• It covers the full spectrum from skilled trades to executive roles, across every major industry.
• German-language search terms surface roles that English-only tools miss entirely.

That makes Xing one of the best public sources for DACH labour-market data — and this scraper turns it into a structured dataset you can actually work with. Whether you're filling roles, benchmarking pay, monitoring competitors or feeding a job board, you get clean, current, de-duplicated listings with the fields that matter, exported in the format you need.

If you work the DACH market, Xing job data belongs in your stack — and this Actor is the fastest, most affordable way to get it at scale.

🚀 Get started

Click Try for free, enter a keyword like software engineer or Projektleiter, optionally pick a city, and get a clean list of DACH job listings — with company, location, salary and apply links — in minutes. Perfect for recruiting, salary benchmarking, competitor hiring intelligence and job-market research.

Have a feature request or question? Open an issue from the Actor's page and we'll help.