Projects using WebScrapingAPI
Projects using WebScrapingAPI
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Jack Kollar
pro
🎓 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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Emrah Demirkoç
Agentic UX Auditor: Is Your Site Ready for AI Buyers?
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