📅 2025-06-11 — Session: Enhanced Selenium Web Scraping Techniques
🕒 08:25–09:20
🏷️ Labels: Selenium, Web Scraping, Python, Automation, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary goal of this session was to explore and enhance web scraping techniques using Selenium, focusing on improving efficiency, error handling, and compliance with best practices.
Key Activities
- Explored methods for fetching content from Google News using RSS feed parsing and HTML scraping.
- Developed a Python script for concatenating and deduplicating CSV files using Pandas.
- Implemented a web crawler in Jupyter Notebook, emphasizing scalability and error logging.
- Analyzed and improved Selenium-based scripts for LinkedIn messaging automation and web page scraping.
- Addressed technical issues like thread safety, timeout handling, and port conflicts in Selenium.
- Proposed a robust solution involving a single-driver-per-page model for handling JavaScript-heavy pages.
Achievements
- Successfully implemented robust error handling and timeout management in Selenium scripts.
- Developed strategies for managing ChromeDriver processes and ensuring thread safety.
- Improved the efficiency of web scraping scripts by isolating page loads and preventing memory bloat.
Pending Tasks
- Further exploration of API limitations and alternative approaches for web scraping.
- Continued refinement of Selenium scripts for optimal performance and compliance.