
Worked on the topmonks/hlidac-shopu repository to enhance e-commerce data ingestion and scraping workflows. Focused on improving CZC.cz category scraping by introducing a new label and request handler, refining URL extraction, and enabling more robust navigation to subcategories. Enhanced product data extraction by handling lazy-loaded images and dynamic pricing. For Allegro-daily ingestion, implemented multi-website upload support with dynamic table naming and conditional table selection, while refactoring parsing logic to reduce dependencies. Leveraged JavaScript and Node.js for backend development, API integration, and DOM manipulation, laying the foundation for scalable, maintainable multi-website data pipelines and improved catalog coverage across campaigns.
November 2024 monthly summary for topmonks/hlidac-shopu focusing on business value and technical achievements. Delivered robust CZC.cz scraping improvements and enhanced Allegro-daily ingestion configurability, resulting in broader catalog coverage, higher data quality, and more flexible multi-website workflows. Key reliability enhancements included UML-like data extraction refinements, removal of a parsing dependency, and improved handling of lazy-loaded images and dynamic pricing data.
November 2024 monthly summary for topmonks/hlidac-shopu focusing on business value and technical achievements. Delivered robust CZC.cz scraping improvements and enhanced Allegro-daily ingestion configurability, resulting in broader catalog coverage, higher data quality, and more flexible multi-website workflows. Key reliability enhancements included UML-like data extraction refinements, removal of a parsing dependency, and improved handling of lazy-loaded images and dynamic pricing data.

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