DataBytes-Organisation/DiscountMate_new
Aug 2025 – Aug 2025
1 Month active
Languages Used
CSSHTMLJavaScriptPython
Technical Skills
API IntegrationBeautifulSoupData ExtractionMongoDBPythonSelenium
Jethro Ramos
PROFILE
Jethro Ramos
During August 2025, Djethro Ramos developed automated web scraping pipelines for the DiscountMate_new repository, focusing on ingesting supermarket specials and product catalogues. He engineered four Python scripts using Selenium and BeautifulSoup to extract product names, prices, and links from sources such as IGA specials, IGA catalogue, Adelaide’s Finest, and Foodland Balaklava. The pipelines featured dynamic URL generation, robust error handling, and persisted data to MongoDB, supporting centralized analytics. Djethro’s work established a scalable foundation for ongoing data ingestion, enabling timely pricing insights and catalog completeness. The technical depth addressed reliability and resilience, reducing scrape failures and supporting data-driven decisions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
748
Activity Months1
Your Network
41 people
Work 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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