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K-TREND
ANALYZER
A cultural intelligence ETL pipeline designed to track fashion volatility within the South Korean market using advanced web scraping and cloud-native storage.
Instance: psql-ktrend-azure
[22:14:01] INIT PIPELINE...
[22:14:03] EXTRACTING NAVER_BLOG DATA: "서울패션"...
>> SUCCESS: 1,176,151 TOTAL RECORDS FOUND
[22:14:05] SYNCING WITH AZURE POSTGRESQL...
[22:14:06] STATUS: DATABASE CLEAN AND READY
Infrastructure
- Azure PostgreSQL
- Synchronous Playwright
- BeautifulSoup4 / Python
Methodology
Extraction of cultural metadata through the analysis of Naver's ecosystem. The system normalizes Hangul characters and detects interest peaks in archival brands, enabling data-driven market validation based on real-time Seoul trends.