Web Scraping Techniques and Error Handling

2 min read

📅 2024-03-19 — Session: Web Scraping Techniques and Error Handling

🕒 22:25–23:20
🏷️ Labels: Web Scraping, Python, Beautifulsoup, Selenium, CSV, Debugging
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to explore various web scraping techniques using Python libraries, with a focus on handling dynamic content and common errors.

Key Activities

  • HTML Structure for Data Extraction: Discussed organizing HTML elements for effective data extraction using BeautifulSoup.
  • Basic Web Scraping: Demonstrated using requests and BeautifulSoup to fetch and parse HTML content, highlighting limitations with dynamic pages.
  • Error Handling: Provided solutions for handling KeyError in BeautifulSoup and corrected f-string usage.
  • CSV Encoding Issues: Addressed common encoding problems when saving CSV files and suggested solutions.
  • Dynamic Page Scraping: Explained challenges with AngularJS-rendered pages and recommended tools like Selenium and Puppeteer.
  • Precios Claros Repositories: Compared GitHub repositories for scraping Precios Claros, detailing their approaches and technical complexity.
  • OpenDataCordoba Guide: Offered a step-by-step guide for using the OpenDataCordoba repository to scrape Precios Claros.
  • Debugging with ipdb: Provided insights into using ipdb for debugging Python code.

Achievements

  • Clarified methods for scraping static and dynamic web pages.
  • Solved common errors in web scraping and CSV file handling.
  • Provided resources for further exploration of web scraping projects.

Pending Tasks

  • Further exploration of API alternatives for dynamic content extraction.
  • Implementation of advanced scraping techniques using Selenium or Puppeteer.

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