Scraping Xing with code and without code (one is 100x faster)

Let’s explore two different ways to extract data from Xing. One requires technical expertise and development time, while the other offers immediate results.

Method 1: Scraping with Python and Selenium

Requirements

• Python proficiency
• Familiarity with Selenium library
• Knowledge of BeautifulSoup for HTML parsing
• Understanding of CSS selectors
• Active Xing account

Important warning

Xing (like LinkedIn) has their own policy on account banning. Frequent logins from different IP addresses or locations may trigger account restrictions. Neither XingZap nor I accept responsibility for account penalties resulting from scraping activities.

The process

1. Handle cookie consent acceptance
2. Programmatically input credentials
3. Locate CSS selectors for target data elements
4. Parse search results using BeautifulSoup
5. Extract relevant fields (names, URLs, positions)
6. Format and export cleaned data

Production considerations

For a production-ready script, you’ll need:

• Pagination handling
• Error handling with screenshots
• Human-like behavior simulation
• Adaptive waiting times

This approach remains fragile against layout changes. Any UI update can break your scraper.

Method 2: Using XingZap

Requirements

• Xing account only

The process

1. Create an account
2. Enter your search terms
3. Receive formatted results instantly

That’s it. You get 1,000 complimentary search results upon signup.

Key advantage: Results arrive immediately without development overhead or technical skills.

Ready to skip the coding? Try XingZap free.