Enhanced Web Scraping and Data Handling Techniques

• Day: 2023-03-08
• Time: 19:30 to 20:05
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Web Scraping, Python, Beautifulsoup, Pandas, Data Manipulation

Description

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.

Evidence

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• event_ids: []