Overview

Tech Stack

• Language: Python
• Infra: SMTP Email Server
• Storage: Local configuration files

Contributors

Architecture

• Input: list of product URLs stored locally in configuration files
• Processing: Python script accesses each page and scrapes availability information
• Parsing: product name and stock status extracted from the HTML content
• Formatting: results assembled into an HTML table with structured columns
• Output: automated email containing the generated report
• Execution: script triggered manually through Python CLI

Features

• Scrapes product pages to determine if an item is available
• Processes a list of product URLs from a configuration file
• Extracts product name directly from the product page
• Generates a structured HTML report with availability data
• Creates a table containing Availability, Product Name, URL, and Timestamp
• Automatically sends the generated report via email

Metrics / Results

• HTML table generated with 4 columns: Availability, Product Name, URL, Timestamp
• Supports monitoring multiple products in a single run

Code & Docs

• Repo: https://github.com/axbecher/Supply_Status_Checker

Implementation highlights

• Main script executed via main.py
• Product URLs defined in configuration files
• Email credentials stored in credentials.py
• Dependencies installed through requirements.txt

Demo & Screenshots

Insights & Future Improvements

Insights

• Practical use of Python for web scraping and automation
• Building HTML reports programmatically from collected data
• Automating email notifications for monitoring workflows

Future Improvements

• Add scheduled execution using cron or task scheduler
• Improve scraping resilience for websites with dynamic content
• Add retry and error handling for unreachable URLs
• Add optional logging system for historical availability checks