Web Scraping Projects

Data Gathering & Analytics

Overview

  • What It Is: Custom scripts that scrape data from targeted websites to aggregate and analyze information for personal use and market insights.
  • Goal: Land Price Scraper: Monitor land listings, aggregate pricing data, and compile into Excel files for easier comparison | Grocery Order Scraper: Compile past purchases to expedite weekly grocery planning.

Key Achievements & Features

  1. Efficient Data Gathering
    • Automated the process of visiting websites with specific filters, then extracting relevant info for analysis.
  2. Personalized Analytics
    • Provided insights into user (your) buying patterns and potential cost savings.
  3. Prototype for Decision Support
    • Laid groundwork for advanced features like predictive analytics on land prices or grocery budgets.

Technologies & Skills Demonstrated

  • Python or JavaScript web scraping (e.g., using requests, BeautifulSoup, or Puppeteer)
  • Data parsing & cleaning
  • Excel/CSV automation
  • Task scheduling (if used for periodic scrapes)
  • Basic data analytics (aggregating, sorting, summarizing)

Big-Picture Vision

  • Scalable Data Insights: Could extend the concept to more sophisticated property analysis or personal finance dashboards.
  • Saves Time & Effort: Shows how automation can handle repetitive tasks, letting you focus on analysis instead of manual data gathering.
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