Refactored and Analyzed Web Crawling Scripts

• Day: 2025-03-01
• Time: 05:15 to 06:05
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Web Crawling, Data Extraction, Python, API, Debugging

Description

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.

Evidence

• source_file=2025-03-01.sessions.jsonl, line_number=7, event_count=0, session_id=038d1ebdfc8aa9567921e30d4e6dbf042a3b25835e346411a1a004a21fa28a6e
• event_ids: []