Xing Jobs Scraper

Extract job listings from Xing — Germany's largest professional network — across the DACH region (Germany, Austria, Switzerland). Get job titles, companies, salaries, employment types, career levels, full descriptions, and direct apply links by simply entering keywords and a city. Perfect for recruiters, market researchers, and salary benchmarking teams who need fresh DACH job data without writing a line of code.

Why This Scraper?

• Full DACH coverage — Germany, Austria, Switzerland in one tool, with both German and English UI language support
• Rich job records — title, company, company logo, location, salary range (min/max/median), employment type, industry, posted date, valid-through date, full description, and direct apply link
• Smart filters — combine keyword + city + employment type (full-time, part-time, internship, contractor) + career level (Student to Senior Executive) in a single run
• Direct URL support — already built a search in the Xing UI? Paste the URL and the actor reproduces it exactly
• Salary intelligence — when Xing publishes a salary, you get structured salaryMin, salaryMax, salaryMedian, salaryCurrency, and salaryPeriod fields ready for charts and dashboards
• Up to 200 jobs per search, batched across keywords for 1,000+ rows per run — Xing limits guest browsing to roughly 200 jobs per search, so add more keywords or city URLs to scale up
• Pay-per-result pricing — only pay for the jobs you actually get back, no compute charges or hidden fees
• Non-technical friendly — no code, no setup, just enter a keyword and a city

Use Cases

Recruitment & Talent Sourcing

• Build candidate pipelines by tracking who is hiring for specific roles
• Monitor competitor job postings to spot expansion plans and team growth
• Surface fresh openings every day to feed your applicant tracking system
• Track time-to-fill by watching when listings disappear

Market Research & Hiring Trends

• Map demand for specific skills (e.g. "Python", "SAP", "Pflegekraft") across DACH cities
• Compare hiring activity in Berlin vs Munich vs Vienna vs Zurich
• Identify which industries are growing fastest in the region
• Track seasonal hiring cycles by re-running searches over time

Salary Benchmarking

• Collect salary ranges by job title, city, industry, and seniority
• Build compensation dashboards with median/min/max for any role
• Compare DACH pay levels across Germany, Austria, and Switzerland
• Anchor offer letters and hiring budgets to live market data

Lead Generation & Sales Intelligence

• Find companies that are actively hiring (a strong "growth" signal)
• Build lists of HR managers, agencies, and decision-makers based on posted listings
• Trigger outreach when a target account opens a key role
• Identify employer brands worth pitching new services to

Job Boards & Aggregators

• Power your own DACH-focused job board with always-fresh content
• Enrich existing listings with structured salary, location, and industry fields
• Build niche aggregators (e.g. tech jobs in Berlin, healthcare jobs in Vienna)

Getting Started

Simple Keyword Search

The fastest way to get started — one keyword, one city:

{
    "searchQueries": ["python developer"],
    "location": "Berlin",
    "maxResults": 100
}

Multi-City Talent Sweep

Search several roles at once. Each keyword runs as its own search and the location is applied to all of them:

{
    "searchQueries": [
        "marketing manager",
        "product manager",
        "data analyst"
    ],
    "location": "Munchen",
    "maxResults": 200,
    "includeJobDetails": true
}

Filtered Search with Career Level & Employment Type

Narrow to senior, full-time openings only — ideal for executive search and salary benchmarking:

{
    "searchQueries": ["software engineer"],
    "location": "Wien",
    "employmentType": ["FULL_TIME"],
    "careerLevel": ["MANAGER", "EXECUTIVE", "SENIOR_EXECUTIVE"],
    "maxResults": 200,
    "language": "en"
}

Direct URL — Reuse a Xing Search You Already Built

Already filtered a search in the Xing UI? Paste the URL and the actor reproduces it exactly:

{
    "startUrls": [
        "https://www.xing.com/jobs/search?keywords=marketing&location=Hamburg",
        "https://www.xing.com/jobs/search?keywords=sales&location=Zurich"
    ],
    "maxResults": 150
}

You can mix searchQueries + startUrls in the same run.

Input Reference

Search

Parameter	Type	Default	Description
searchQueries	string[]	["python developer"]	Job titles or keywords to search for, such as "Softwareentwickler" or "Marketing Manager". Each keyword runs a separate search.
location	string	"Berlin"	City or region in the DACH area (e.g. Berlin, Munchen, Hamburg, Wien, Zurich). Applied to every keyword search.
startUrls	string[]	[]	Paste full Xing job search URLs to use them as-is. Useful when you have already built a search with custom filters in the Xing UI.

Filters & Limits

Parameter	Type	Default	Description
maxResults	integer	100	Maximum jobs to collect per search keyword or URL. Use 50 for a quick scan, 200 for deep research. Range 1–1,000.
employmentType	string[]	[]	Only return jobs of these employment types. Options: FULL_TIME, PART_TIME, INTERN (Student), CONTRACTOR (Self-employed). Leave empty for all types.
careerLevel	string[]	[]	Only return jobs at these seniority levels. Options: STUDENT, ENTRY, PROFESSIONAL, MANAGER, EXECUTIVE, SENIOR_EXECUTIVE. Leave empty for all levels.
includeJobDetails	boolean	true	Fetch the full description and posting metadata from each job's detail page. Slightly slower but produces much richer data.

Localization

Parameter	Type	Default	Description
language	string	"de"	Interface language for results — de (German) or en (English). Xing is primarily German; English is also supported.

Output

Each job is returned as a structured record. Here is a real example:

{
    "jobId": "148891004",
    "title": "Python - Entwickler:in",
    "company": "Protech Consulting",
    "companyUrl": "https://www.xing.com/companies/1969208",
    "companyLogo": "https://www.xing.com/imagecache/public/scaled_original_image/eyJ1dWlkIjoiMDEzMWM5OTUtZTc1Yy00Y2Q4LWEzMDQt.../x1.jpg",
    "location": "Berlin",
    "city": "Berlin",
    "country": "DE",
    "postalCode": "10115",
    "employmentType": "Vollzeit",
    "industry": "Information Technology",
    "salary": "70.000 – 90.000 EUR",
    "salaryMin": 70000,
    "salaryMax": 90000,
    "salaryMedian": 80000,
    "salaryCurrency": "EUR",
    "salaryPeriod": "year",
    "postedDate": "2026-04-22T08:30:00Z",
    "validThrough": "2026-06-22T08:30:00Z",
    "description": "We are looking for an experienced Python engineer to join our team in Berlin...",
    "snippet": "We are looking for an experienced Python engineer to join our team in Berlin and help build…",
    "applyUrl": "https://protech.example.com/apply/148891004",
    "jobUrl": "https://www.xing.com/jobs/berlin-python-entwickler-148891004",
    "searchQuery": "python developer",
    "language": "de",
    "scrapedAt": "2026-04-25T10:08:07Z"
}

All Available Fields

Field	Type	Description
jobId	string	Unique Xing job identifier
title	string	Job title
company	string	Hiring company name
companyUrl	string	Link to the company's Xing profile
companyLogo	string	Company logo image URL
location	string	Display location (typically the city)
city	string	City
country	string	Country code (e.g. DE, AT, CH)
postalCode	string	Postal code, when available
employmentType	string	Localized employment type label (e.g. "Vollzeit", "Full-time")
industry	string	Industry classification, when available
salary	string	Salary range as displayed on Xing (human-readable)
salaryMin	number	Minimum salary, when published
salaryMax	number	Maximum salary, when published
salaryMedian	number	Median salary, when published
salaryCurrency	string	Currency code (typically EUR or CHF)
salaryPeriod	string	Pay period — Xing always reports yearly (year)
postedDate	string	ISO 8601 date the listing was posted or refreshed
validThrough	string	ISO 8601 expiry date of the posting, when available
description	string	Full job description as plain text
descriptionHtml	string	Full job description as raw HTML (when includeJobDetails is on)
snippet	string	Short ~200-character preview of the description, useful for compact list views
applyUrl	string	External apply URL, when the company links out
jobUrl	string	Canonical Xing job URL
searchQuery	string	The keyword that produced this row
language	string	Result language used for the run (de or en)
scrapedAt	string	ISO 8601 timestamp of when the row was collected

Tips for Best Results

• One keyword per search — don't stuff multiple roles into one keyword. Use the searchQueries array so each role gets its own targeted search and full result quota.
• Stick to DACH locations — Xing is the dominant professional network in Germany, Austria, and Switzerland. Expect the best coverage in Berlin, Munich, Hamburg, Frankfurt, Cologne, Vienna, and Zurich.
• Use German keywords for German cities — search "Softwareentwickler" in Berlin instead of "software developer". Xing indexes German job titles more thoroughly. Use English keywords (and language: "en") for international roles.
• Need more than 200 jobs for one keyword? Xing limits guest browsing to roughly 200 results per individual search. To collect more, split your search across multiple keywords (e.g. "Python developer", "Python engineer", "Backend developer") or different cities — each runs as its own paginated search.
• Salary fields are not always populated — some employers publish salary, many do not. Filter your dataset on salaryMin != null for benchmarking work.
• Turn off includeJobDetails for fast scans — when you only need title/company/location/URL, set it to false and the run finishes ~9× faster.

Pricing

$1.20 per 1,000 results — pay-per-result pricing with no surprises.

Results	Cost
100	$0.12
1,000	$1.20
10,000	$12.00

No compute charges — you only pay per result returned. No hourly fees, no add-on costs, no storage charges. If a run produces zero rows, you pay nothing.

Integrations

Export your data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export, refreshed on every run
• Slack / Email — Notifications on new results
• Webhooks — Custom API integrations triggered when a run finishes
• Apify API — Full programmatic access to runs, datasets, and schedules

Schedule the actor to run every morning to keep a live feed of new DACH job postings flowing into your CRM, BI tool, or dashboard.

Legal & Ethical Use

This actor is designed for legitimate market research, recruitment intelligence, salary benchmarking, and lead generation. You are responsible for complying with applicable laws (including GDPR), Xing's Terms of Service, and the rules of any platform you forward the data to. Do not use the extracted data for spam, harassment, or any illegal purpose. When in doubt, consult your legal team before running large collections.