I’ve created a comprehensive dataset of Times Higher Education World University Rankings spanning 16 years (2011-2026).<\/p>\n
\ud83d\udcca Dataset Details:<\/strong> – 44,000+ records<\/strong> from 2,750+ universities worldwide – 16 years<\/strong> of historical data (2011-2026) – Dual format<\/strong>: Clean CSV files + Full JSON backups – Two data types<\/strong>: Rankings scores AND key statistics (enrollment, staff ratios, international students, etc.)<\/p>\n \ud83d\udcc8 What’s included:<\/strong> – Overall scores and individual metrics (teaching, research, citations, industry, international outlook) – Student demographics and institutional statistics – Year-over-year trends ready for analysis<\/p>\n \ud83d\udd27 Python scraper included:<\/strong> The repo includes a fast, reliable Python scraper that: – Uses direct API calls (no browser automation) – Fetches all data in 5-10 minutes – Requires only \ud83d\udca1 Use cases:<\/strong> – Academic research on higher education trends – Data visualization projects – Institutional benchmarking – ML model training – University comparison tools<\/p>\n GitHub:<\/strong> https:\/\/github.com\/c3nk\/THE-World-University-Rankings<\/a><\/p>\n The scraper respects THE’s public API endpoints and is designed for educational\/research purposes. All data is sourced from Times Higher Education’s official rankings.<\/p>\n Feel free to fork, star, or suggest improvements!<\/p>\n<\/div>\n submitted by \/u\/cenkK <\/a> requests<\/code> and pandas<\/code><\/p>\n
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