📅 2024-08-16 — Session: Developed Daily Norms Checker Software
🕒 02:05–02:35
🏷️ Labels: Software Development, Web Scraping, Automation, Python, Data Extraction
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary goal of this session was to develop software to automatically check and download daily government norms published by Buenos Aires Province, focusing on resolutions from the current year.
Key Activities
- Python Script for URL Data Extraction: Utilized Requests, BeautifulSoup, and Pandas to parse URLs and extract relevant data.
- HTML Structure Analysis: Analyzed HTML structure to guide software architecture for data extraction.
- Software Architecture Design: Developed a framework for web scraping, including pagination handling and data storage.
- Web Scraping Implementation: Created a Python script to scrape resolution data, handle pagination, and store data in a Pandas DataFrame.
- Error Handling in Python: Modified scripts to handle missing elements safely.
- URL Function Development: Designed a function to generate search URLs for Buenos Aires norms with specific parameters.
- Daily Data Scraping Script: Implemented a Python script for daily data scraping and CSV logging.
Achievements
- Successfully developed a comprehensive software architecture for automated web scraping of government norms.
- Implemented error handling and logging mechanisms to ensure robust data extraction.
Pending Tasks
- Further testing and validation of the scraping software to ensure reliability and accuracy.
- Deployment of the software for continuous operation.