Xing Jobs Scraper 🎯

Xing Jobs Scraper 🎯

Scrape job listings from Xing.com - Extract detailed job information including titles, locations, company details, and more. Perfect for job market analysis, recruitment research, and tracking employment opportunities.

JOBSApify

Efficiently scrape job listings from Xing.com, Germany's leading professional network platform. This actor helps you extract comprehensive job posting data for market research, recruitment analysis, or job opportunity tracking.

Features ✨

  • 🔍 Scrape job listings based on search keywords and filters
  • 💼 Extract detailed job information including titles, locations, and employment types
  • 🏢 Gather company information including logos and Kununu ratings
  • ⚡ High-performance scraping with built-in anti-blocking measures
  • 📊 Clean, structured JSON output format
  • 🎛️ Configurable maximum items limit

Input Parameters 📝

The actor accepts the following input parameters:

FieldTypeDescription
searchUrlsArrayList of Xing job search URLs to scrape
maxItemsIntegerMaximum number of items to scrape

Usage Tips 💡

  1. Search URLs: Copy the URL directly from Xing's job search page after applying your desired filters
  2. Rate Limiting: The actor includes built-in delays and anti-blocking measures
  3. Optimization: Use maxItems parameter to limit the number of results for faster execution

Use Cases 🎯

  • Recruitment market research
  • Job market analysis
  • Competitive intelligence
  • Salary benchmarking
  • Employment trend monitoring
  • Automated job opportunity tracking

Input Example

A full explanation of an input example in JSON.

1{
2    "searchUrls": [
3        "https://www.xing.com/jobs/search?sc_o=losp_jobs_search_button_click&sc_o_PropActionOrigin=losp_job_search&keywords=AI%20Engineer&id=a68641afc57ee06112317babd32bb9bb&employmentType=FULL_TIME.ef2fe9"
4    ],
5    "maxItems": 30
6}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1[
2    {
3        "searchUrl": "https://www.xing.com/jobs/search?sc_o=losp_jobs_search_button_click&sc_o_PropActionOrigin=losp_job_search&keywords=AI%20Engineer&id=a68641afc57ee06112317babd32bb9bb&employmentType=FULL_TIME.ef2fe9",
4        "__typename": "VisibleJob",
5        "id": "129410640.0cc77c",
6        "slug": "muenchen-junior-machine-learning-engineer-ai-forge-129410640",
7        "url": "https://www.xing.com/jobs/muenchen-junior-machine-learning-engineer-ai-forge-129410640",
8        "title": "(Junior) Machine Learning Engineer (m/w/d) AI Forge",
9        "activatedAt": "2025-01-02T08:17:33Z",
10        "refreshedAt": "2025-01-02T08:17:33Z",
11        "globalId": "surn:x-xing:jobs:posting:129410640.0cc77c",
12        "location": {
13            "__typename": "JobLocation",
14            "city": "München"
15        },
16        "employmentType": {
17            "__typename": "EmploymentType",
18            "localizationValue": "Full-time"
19        },
20        "companyInfo": {
21            "__typename": "Company",
22            "id": "50390.ec2c0e",
23            "logos": {
24                "__typename": "CompanyLogos",
25                "logo96px": "https://www.xing.com/imagecache/public/scaled_original_image/eyJ1dWlkIjoiYzQ0NjIwNmUtY2E1YS00MDliLTg4NzktMjhjNWNlMWJiNmNmIiwiYXBwX2NvbnRleHQiOiJlbnRpdHktcGFnZXMiLCJtYXhfd2lkdGgiOjk2LCJtYXhfaGVpZ2h0Ijo5Nn0?signature=a0fc3b6d5d23af2cb7c8dcdf8c101328a078cbef0f7c2dd63748676d1481eab2"
26            },
27            "kununuData": {
28                "__typename": "CompanyKununuData",
29                "ratingAverage": 4
30            }
31        },
32        "salary": null,
33        "userInteractions": {
34            "__typename": "JobUserInteractions",
35            "bookmark": {
36                "__typename": "JobBookmark",
37                "state": "NOT_BOOKMARKED"
38            }
39        }
40    },
41    ...
42]

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!