Developed Web Scraping Scripts for Data Extraction

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

🕒 14:55–17:40
🏷️ Labels: Web Scraping, Python, Data Extraction, Beautifulsoup, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to develop and refine Python scripts for web scraping, focusing on extracting various types of information from HTML content.

Key Activities

  • Web Scraping Code Development: Initiated with a Python script using the requests library to download web pages and save them as HTML files.
  • HTML Analysis: Analyzed HTML files to understand their structure for effective data scraping.
  • Data Extraction: Developed scripts to extract teacher and faculty details using BeautifulSoup, targeting specific HTML tags and classes.
  • Error Handling: Incorporated error handling mechanisms to avoid common pitfalls like IndexErrors and KeyErrors.
  • Deprecation Warning Fix: Updated code to replace deprecated methods, ensuring compatibility with the latest libraries.
  • Thesis Details Scraping: Created functions to scrape thesis details, including error handling for robust data extraction.

Achievements

  • Successfully developed multiple Python scripts for web scraping tasks, including extracting teacher and thesis details.
  • Improved scripts with error handling and updated methods to avoid deprecation warnings.

Pending Tasks

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

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