Xing Jobs Scraper

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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 and Xing's live date posted filters.

Features

• Targeted Job Search — Collect jobs by keyword, location, Xing date posted filter, or direct Xing search URL
• Rich Job Records — Capture role, salary, company profile, posting dates, and description content
• Fast API Enrichment — Fetch search and detail data through Xing GraphQL with bounded parallel detail requests
• Pagination Control — Limit total pages and total records for predictable runs
• Clean Output Shape — Receive deduplicated fields with normalized location and keyword data while omitting empty null-only keys
• 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.

Input Parameters

Output Data

Each item in the dataset contains:

Fields with no value are omitted from each item instead of being emitted as null.

Usage Examples

Basic Search

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

Location and Date Filter

{
"keyword":"Project Manager",
"location":"Berlin",
"date_posted":"LAST_WEEK",
"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
}

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
}

Tips for Best Results

Start With Focused Queries

• Use precise keywords to improve relevance
• Add location for narrower result sets
• Use date_posted to focus on fresh Xing listings

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

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

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.

Support

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

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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.