
During April 2025, Teyras enhanced the topmonks/hlidac-shopu repository by delivering a cross-scraper price data extraction and reliability update for iglobus.cz, pilulka.cz, and mironet. Using JavaScript and web scraping techniques, Teyras implemented discount price handling, cleaned current price fields, and ensured accurate extraction of original prices for discounts. The work also addressed a race condition in the data push process, improving pipeline reliability and data integrity. By focusing on data cleaning and front end development, Teyras reduced manual reconciliation and pricing anomalies, laying a foundation for more resilient and accurate price feeds across multiple e-commerce merchants.

April 2025 performance summary for topmonks/hlidac-shopu: Delivered a targeted price data extraction and reliability overhaul across three scrapers (iglobus.cz, pilulka.cz, mironet), resulting in more accurate and timely price feeds. Work included discount price handling, current price cleaning, correct original price extraction for discounts, and a race-condition fix in data push. These changes improve data integrity for downstream pricing analytics and customer-facing price displays, and establish a foundation for more resilient scrapes across additional merchants. Business impact includes reduced manual reconciliation, fewer pricing anomalies, and faster time-to-value for promotional pricing.
April 2025 performance summary for topmonks/hlidac-shopu: Delivered a targeted price data extraction and reliability overhaul across three scrapers (iglobus.cz, pilulka.cz, mironet), resulting in more accurate and timely price feeds. Work included discount price handling, current price cleaning, correct original price extraction for discounts, and a race-condition fix in data push. These changes improve data integrity for downstream pricing analytics and customer-facing price displays, and establish a foundation for more resilient scrapes across additional merchants. Business impact includes reduced manual reconciliation, fewer pricing anomalies, and faster time-to-value for promotional pricing.
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