topmonks/hlidac-shopu
Nov 2024 – Nov 2024
1 Month active
Languages Used
JavaScript
Technical Skills
API IntegrationBackend DevelopmentDOM ManipulationData EngineeringE-commerceJavaScript
Hamza Alwan
PROFILE
Hamza Alwan
Ihamza Alwan enhanced the topmonks/hlidac-shopu repository by delivering two features focused on scalable e-commerce data ingestion. He improved CZC.cz scraping by adding category-level support, refining URL extraction, and enabling robust handling of dynamic pricing and lazy-loaded images. For Allegro-daily, he introduced multi-website upload configurability, dynamic table naming, and conditional data routing, while refactoring the parsing workflow to remove Cheerio and reduce dependencies. Working primarily with JavaScript and Node.js, Ihamza applied backend development and web scraping expertise to increase catalog coverage, data quality, and maintainability, laying the foundation for flexible, multi-website ingestion across future campaigns.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
170
Activity Months1
Your Network
17 people
Work History
November 2024
6 Commits • 2 Features
Nov 1, 2024November 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.
6 Commits • 2 Features
Nov 1, 2024November 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
Activity
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Quality Metrics
Correctness85.0%
Maintainability83.4%
Architecture80.0%
Performance76.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
API IntegrationBackend DevelopmentDOM ManipulationData EngineeringE-commerceJavaScriptNode.jsRefactoringWeb Scraping
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