🎓 FSC Professor Ratings Scraper - Python
FSC Professor Ratings Scraper — Developed an automated data extraction tool that collects professor ratings, reviews, and difficulty metrics for Farmingdale State College, enabling students to analyze instructor quality efficiently. The scraper programmatically retrieves structured academic feedback data, processes it into usable formats, and eliminates manual searching across rating platforms.
Automated professor-rating tools can extract quality scores, difficulty levels, and review counts from public sources, allowing students to compare instructors quickly and make informed course decisions.
Backend: Python · Web Scraping · Automation
Parsing: BeautifulSoup · Regex
Data: CSV / JSON · Pandas
Purpose: Academic Data Analysis
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