Job Data Scraper & Backend Processing System (Vakanser)

I developed a backend-driven job scraping and data processing system that collects real job listings from Vakanser.

Key features:

• Automated data extraction from multiple pages using web scraping
• Intelligent parsing of job listings (title, employer, date, links)
• Date-based filtering to stop scraping older jobs
• Data cleaning and duplicate removal
• Structured output in CSV and HTML formats
• Dynamic grouping of jobs by date for clear presentation

Technologies used:

• Python (backend logic)
• Requests & BeautifulSoup (web scraping)
• Pandas (data processing)
• HTML generation

This project demonstrates my ability to build backend systems that collect, process, and structure real-world data, which can be directly applied to platforms like travel systems where data aggregation and processing are required.

link to roject:
https://www.twine.net/signin