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.
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.
The actor accepts the following input parameters:
Field | Type | Description |
---|---|---|
searchUrls | Array | List of Xing job search URLs to scrape |
maxItems | Integer | Maximum number of items to scrape |
maxItems
parameter to limit the number of results for faster executionA 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}
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]
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.
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.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
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!