Developed robust web scraping and data handling scripts

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📅 2023-10-22 — Session: Developed robust web scraping and data handling scripts

🕒 01:30–02:35
🏷️ Labels: Web Scraping, Python, Beautifulsoup, Data Handling, Error Management
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to enhance and refine web scraping techniques for extracting product details from webpages and handling the data efficiently.

Key Activities:

  • Implemented Python scripts using BeautifulSoup and requests to extract product details such as title, description, image URL, product URL, and price from webpages.
  • Developed methods to extract Open Graph and Twitter meta tag descriptions using BeautifulSoup.
  • Created a Python implementation for scraping product details from multiple URLs and storing results in a pandas DataFrame.
  • Enhanced error handling in web scraping scripts to manage invalid URLs and None values.
  • Resolved AttributeError issues in DataFrame creation by filtering out None values.
  • Implemented a parse_price function to extract currency and value from price strings using regular expressions.
  • Adjusted regular expressions to fix currency parsing issues in price strings.
  • Demonstrated parsing of ‘Price’ column in DataFrame to separate currency and value into distinct columns.

Achievements:

  • Successfully developed and refined web scraping scripts for product detail extraction.
  • Improved data handling and error management in Python scripts.

Pending Tasks:

  • Further testing and validation of the implemented scripts to ensure robustness across different webpages.

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