Developed Python scripts for HTML car data extraction

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📅 2023-10-22 — Session: Developed Python scripts for HTML car data extraction

🕒 00:30–00:45
🏷️ Labels: Python, Beautifulsoup, Web Scraping, HTML, Data Extraction
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to develop and refine Python scripts to extract car information from HTML content using web scraping techniques.

Key Activities

  • HTML Element Extraction: Identified key elements such as title, description, specifications, image, and price from a car listing’s HTML source.
  • Python Script Development: Developed a Python script using BeautifulSoup to extract car information, including title, description, specifications, price, image, and location.
  • HTML Content Fetching: Implemented a method to fetch HTML content using the requests library for parsing with BeautifulSoup, correcting a common mistake of passing URLs directly to BeautifulSoup.
  • Recursive HTML Tree Printing: Created a function to recursively print HTML document structures, improving understanding of tag hierarchies.
  • Code Correction and Enhancement: Corrected and enhanced a BeautifulSoup function to print tag structures with improved visibility, including tag names, associated classes, and direct text content.

Achievements

  • Successfully developed scripts to extract detailed car information from HTML using Python and BeautifulSoup.
  • Improved understanding and visibility of HTML tag structures, aiding future web scraping tasks.

Pending Tasks

  • Further testing and validation of the scripts on diverse car listing HTML sources to ensure robustness and accuracy.

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