📅 2025-03-01 — Session: Refactored and Analyzed Web Crawling Scripts
🕒 05:15–06:05
🏷️ Labels: Web Crawling, Data Extraction, Python, API, Debugging
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to refine and analyze web crawling scripts to improve data extraction from various Argentine academic and research websites using the Spider API.
Key Activities:
- Assisted with debugging and file uploads to ensure smooth operation of the web crawling scripts.
- Conducted a web crawling experiment using the Spider API, focusing on data extraction from academic and research websites in Argentina.
- Refactored the API crawling script to enhance modularity and error handling, enabling efficient crawling of multiple URLs.
- Analyzed the crawling outputs from several websites, including Conicet, UTN, ITBA, LIAA, Fundación Sadosky, and ICC, identifying issues and recommending solutions for improved data extraction.
- Summarized insights from the crawling outputs, highlighting the structure of the websites and proposing solutions for effective data retrieval.
Achievements:
- Successfully refactored the crawling script for better maintainability and performance.
- Identified and documented issues in content extraction across multiple websites, providing actionable recommendations for improvement.
Pending Tasks:
- Implement the recommended solutions to address content extraction issues in future crawling sessions.
- Explore further enhancements to the crawling scripts to optimize data retrieval and processing.