In December 2025, Lloro enhanced the MQSMaster repository by developing a multi-source article ingestion system that incorporates deduplication to improve data quality and reliability. Leveraging Python, Pandas, and Selenium, Lloro introduced a reusable scraping template to support future expansion and standardized date handling for consistency across ingested articles. The work included refactoring the codebase to improve maintainability and performance, ensuring the system can scale with additional sources and evolving requirements. By focusing on robust data processing and web scraping techniques, Lloro laid the foundation for broader API integration and more efficient content discovery, aligning the project with business goals.