Developed robust web scraping scripts and error handling

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

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

Session Goal

The primary aim of this session was to enhance and develop Python scripts for web scraping product details from various webpages, ensuring robustness and error handling.

Key Activities

  • Developed Python scripts using BeautifulSoup and requests to scrape product details such as title, description, image URL, product URL, and price.
  • Implemented methods to extract Open Graph and Twitter meta tags using BeautifulSoup.
  • Enhanced error handling in web scraping scripts to manage invalid URLs and prevent AttributeError during DataFrame creation.
  • Created a parse_price function to extract currency and value from strings, addressing issues with regular expressions to ensure correct parsing.
  • Demonstrated the application of parsing functions to DataFrame columns for structured data extraction.

Achievements

  • Successfully developed and refined web scraping scripts to extract comprehensive product details.
  • Implemented robust error handling mechanisms to ensure script reliability.
  • Developed a reusable function for parsing currency and value, improving data processing capabilities.

Pending Tasks

  • Further testing of the web scraping scripts on different websites to ensure versatility and adaptability.
  • Continuous improvement of error handling strategies to cover more edge cases.

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