DataBytes-Organisation/DiscountMate_new
Aug 2025 – Aug 2025
1 Month active
Languages Used
CSSHTMLJavaScriptPython
Technical Skills
API IntegrationBeautifulSoupData ExtractionMongoDBPythonSelenium
Jethro Ramos
PROFILE
Jethro Ramos
Developed automated web scraping pipelines for the DiscountMate_new repository, focusing on ingesting supermarket specials and product catalogues to support timely pricing insights and catalog completeness. Leveraged Python, BeautifulSoup, and Selenium to build four scripts that extract product names, prices, and links from sources such as IGA specials, IGA catalogue, Adelaide's Finest, and Foodland Balaklava. Implemented dynamic URL generation and robust error handling to enhance reliability, while persisting extracted data to MongoDB for centralized access and downstream analytics. This work established a scalable foundation for ongoing data ingestion, enabling data-driven decision-making and supporting future expansion across additional sources.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
748
Activity Months1
Your Network
47 peopleWork History
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08: Implemented automated web scraping pipelines to ingest supermarket specials and product catalogues for DiscountMate_new, enabling timely pricing insights and catalog completeness. Delivered four Python scripts to extract product names, prices, and links from multiple sources (IGA specials, IGA catalogue, Adelaide's Finest, Foodland Balaklava) with dynamic URL generation, robust error handling, and MongoDB persistence. Lays the groundwork for continued data ingestion across multiple sources and supports data-driven business decisions.
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08: Implemented automated web scraping pipelines to ingest supermarket specials and product catalogues for DiscountMate_new, enabling timely pricing insights and catalog completeness. Delivered four Python scripts to extract product names, prices, and links from multiple sources (IGA specials, IGA catalogue, Adelaide's Finest, Foodland Balaklava) with dynamic URL generation, robust error handling, and MongoDB persistence. Lays the groundwork for continued data ingestion across multiple sources and supports data-driven business decisions.
August 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptPython
Technical Skills
API IntegrationBeautifulSoupData ExtractionMongoDBPythonSeleniumWeb Scraping
Repositories Contributed To
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