Mahsa Abbasian

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

I developed a job listings platform that collects and processes real-world job data(Swedish job agancy) using APIs (Arbetsförmedlingen / JobTech).

Key features:

• Fetches job data from external APIs
• Processes and structures data for easy display
• Organizes listings by date and category
• Generates clean and user-friendly tables
• Includes direct links to job applications

Technologies used:

• Python (data processing & backend logic)
• API integration (REST)
• HTML/CSS for presentation

This project demonstrates my ability to work with backend systems, handle real data, and build practical solutions that can be adapted to different domains (such as travel platforms).

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