Xing Jobs Scraper

Extract comprehensive Xing job listings with rich hiring, compensation, and company information. Collect clean, structured job data at scale for recruiting, market research, and job intelligence workflows. Built for reliable, repeatable job data collection with pagination support.

Features

• Targeted Job Search — Collect jobs by keyword, location, discipline, or direct Xing search URL
• Rich Job Records — Capture role, salary, company profile, posting dates, and description content
• Pagination Control — Limit total pages and total records for predictable runs
• Clean Output Shape — Receive deduplicated fields with normalized location and keyword data
• Dataset Ready — Export results in formats that fit analytics, reporting, and automation workflows

Use Cases

Recruitment Pipeline Research

Track active roles, hiring companies, and job requirements across Xing. Build targeted prospect lists for sourcing and outreach.

Salary and Compensation Benchmarking

Analyze salary ranges across role types, locations, and industries. Compare compensation trends for internal planning and market positioning.

Competitive Hiring Intelligence

Monitor which companies are hiring, for what roles, and in which regions. Identify talent demand shifts and strategic expansion patterns.

Labor Market Analysis

Create structured datasets for dashboards and internal reports. Measure role demand, discipline trends, and posting activity over time.

Job Aggregation and Enrichment

Feed job boards, internal tools, or BI systems with fresh Xing data. Use consistent output fields to simplify downstream processing.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	—	Direct Xing jobs search URL; if provided, it overrides keyword/location filters
keyword	String	No	Remote	Job search keyword or role title
location	String	No	—	City or region filter
discipline	String	No	—	Professional field filter
results_wanted	Integer	No	20	Maximum number of job records to collect
max_pages	Integer	No	50	Maximum number of result pages to process
proxyConfiguration	Object	No	{ "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }	Proxy settings for stable data collection

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Output Data

Each item in the dataset contains:

Field	Type	Description
job_id	String	Unique Xing job identifier
slug	String	Job slug used in Xing URLs
global_id	String	Global job identifier
title	String	Job title
company	String	Company display name
discipline	String	Professional discipline/category
location	String	Primary city/location
location_street	String/null	Primary street address (if available)
location_city_id	String/null	Xing city identifier
location_zip	String/null	Postal code
location_region	String/null	Region/state
location_country_code	String/null	Country code
location_country	String/null	Country name
locations	Array/null	Additional locations when different from primary location
salary	String/null	Human-readable salary text
salary_raw	Object/null	Structured salary object
job_type	String/null	Employment type
remote	String/null	Remote/hybrid/on-site hint when available
job_category	String/null	Industry or career-level category
language	String/null	Job post language
job_code	String/null	Internal job code
keywords	Array/null	Deduplicated job keywords
date_posted	String/null	Job refresh/post date (ISO)
active_until	String/null	Job active-until date (ISO)
activated_at	String/null	Job activation date (ISO)
paid	Boolean/null	Paid listing flag
top_job	Boolean/null	Top job flag
company_id	String/null	Company identifier
company_logo	String/null	Company logo URL
company_size	String/null	Company size range
company_industry	String/null	Company industry
company_city	String/null	Company city
company_country	String/null	Company country
company_public_profile	String/null	Public company profile URL
service_offering_group	Number/null	Service offering group value
application_type	String/null	Application method type
apply_url	String/null	External application URL
contact_user_id	String/null	Contact user identifier
xing_application_loggedout_enabled	Boolean/null	Logged-out application availability flag
redirects_to_third_party	Boolean/null	Redirect-to-third-party flag
description_html	String/null	Job description HTML
description_text	String/null	Clean plain-text description
description_type	String/null	Description type
url	String	Direct job URL
detail_error	String/null	Detail collection error message, if any

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Usage Examples

Basic Search

{
  "keyword": "Data Analyst",
  "results_wanted": 30
}

Location and Discipline Filter

{
  "keyword": "Project Manager",
  "location": "Berlin",
  "discipline": "Project management",
  "results_wanted": 100,
  "max_pages": 10
}

Direct Xing Search URL

{
  "startUrl": "https://www.xing.com/jobs/t-remote?keywords=Remote&location=Berlin",
  "results_wanted": 50,
  "max_pages": 5
}

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Sample Output

{
  "job_id": "148355491.3c4997",
  "slug": "schoenefeld-junior-projektmanager-strategische-unternehmensentwicklung-148355491",
  "title": "(Junior) Projektmanager (m/w/d) Strategische Unternehmensentwicklung",
  "company": "Krieger Gruppe",
  "location": "Schönefeld",
  "salary": "EUR 47,500 - EUR 55,000",
  "job_type": "Full-time",
  "discipline": "Project management",
  "job_category": "Furniture and wood products",
  "date_posted": "2025-12-20T17:24:09Z",
  "description_type": "HtmlDescription",
  "apply_url": "https://krieger-gruppe.softgarden.io/job/...",
  "url": "https://www.xing.com/jobs/schoenefeld-junior-projektmanager-strategische-unternehmensentwicklung-148355491",
  "detail_error": null
}

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Tips for Best Results

Start With Focused Queries

• Use precise keywords to improve relevance
• Add location for narrower result sets
• Use discipline to target specific job segments

Control Dataset Size

• Use smaller results_wanted for quick validation
• Increase gradually for production runs
• Set max_pages to keep runs predictable

Use Reliable Proxy Settings

• Residential proxies generally improve consistency
• Keep default proxy settings unless you need custom routing

Prefer Direct Search URLs for Repeatability

• Use startUrl when you want stable, repeatable filters
• Save proven search URLs for scheduled runs

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Integrations

Connect your job data with:

• Google Sheets — Build live recruiting and market tracking sheets
• Airtable — Organize and search hiring datasets
• Looker Studio / BI tools — Build salary and hiring trend dashboards
• Slack — Notify teams when fresh job data is available
• Webhooks — Send dataset updates to your own systems
• Zapier / Make — Automate post-processing and alerts

Export Formats

• JSON — Best for APIs and engineering workflows
• CSV — Best for spreadsheet analysis
• Excel — Best for business reporting
• XML — Best for structured system imports

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Frequently Asked Questions

How many jobs can I collect in one run?

You can collect as many as available within your results_wanted and max_pages limits.

Can I run this actor with only a start URL?

Yes. Provide startUrl and the actor will use that search context.

What happens when a field is unavailable?

Missing values are returned as null so downstream processing remains stable.

Why is locations sometimes null?

When additional locations duplicate the primary location fields, the field is compacted to reduce redundancy.

Is salary always present?

No. Salary depends on what is available in each listing.

What does detail_error mean?

It indicates that a detailed record could not be fully enriched for that specific job item.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection use cases. You are responsible for ensuring your usage complies with applicable laws, platform terms, and data protection requirements.