Developed Web Scraping Scripts for Data Extraction

📅 2023-08-09 — Session: Developed Web Scraping Scripts for Data Extraction

🕒 14:55–16:25
🏷️ Labels: Web Scraping, Python, Beautifulsoup, Data Extraction, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to develop and refine Python scripts for web scraping tasks, focusing on extracting detailed information from HTML content.

Key Activities:

• Developed Python scripts using the requests and BeautifulSoup libraries to download web pages and extract relevant data.
• Analyzed HTML structures to identify tags and classes for targeted data extraction.
• Implemented error handling mechanisms to manage potential issues during data extraction.
• Updated code to avoid deprecation warnings, ensuring compatibility with the latest library versions.
• Created functions to scrape specific data, such as faculty and thesis details, and store them in pandas DataFrames.

Achievements:

• Successfully created scripts to extract teacher and teaching assistant details, including names, emails, and homepage URLs.
• Developed a robust scraping function for thesis details, incorporating error handling for reliable data extraction.

Pending Tasks:

• Further testing and validation of the scraping scripts to ensure accuracy and robustness across different HTML structures.