Enhanced Web Scraping and Data Handling Techniques

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📅 2023-03-08 — Session: Enhanced Web Scraping and Data Handling Techniques

🕒 19:30–20:05
🏷️ Labels: Web Scraping, Python, Beautifulsoup, Pandas, Data Manipulation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance web scraping techniques and data manipulation using Python, focusing on improving error handling and data extraction methods.

Key Activities

  • Developed a Python function to scrape lab information and return it as a Pandas DataFrame.
  • Implemented a method to fill missing values in a DataFrame using Pandas.
  • Used Beautiful Soup for web scraping, extracting names and URLs from webpages.
  • Created a function to scrape population data and handle demographic metrics.
  • Updated web scraping code to avoid deprecated methods and improve error handling.
  • Solved issues related to missing anchor elements in HTML during web scraping.
  • Enhanced hyperlink extraction to handle different href attribute formats.
  • Demonstrated integration of column data and string splitting in DataFrames.

Achievements

  • Successfully refactored web scraping code to handle errors more gracefully and improve data extraction accuracy.
  • Enhanced data manipulation techniques in Pandas, improving data integrity and handling.

Pending Tasks

  • Further testing of the updated web scraping functions in diverse scenarios to ensure robustness.
  • Exploration of additional libraries or tools to optimize web scraping efficiency.

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