Developed and Debugged Web Scraping Automation

• Day: 2024-09-25
• Time: 18:05 to 19:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Web Scraping, Python, Automation, AJAX, Http Errors

Description

Session Goal: The primary goal of this session was to develop and debug automation scripts for web scraping tasks, focusing on handling AJAX requests, HTTP errors, and session management.

Key Activities:

• Planned strategic actions for engaging key groups in educational campaigns.
• Developed code for reverse engineering web queries using Python to bypass UI restrictions.
• Provided naming suggestions for project notebooks to improve clarity.
• Addressed HTTP 405 errors with alternative methods and debugging strategies.
• Automated AJAX requests for department data retrieval using Python.
• Implemented login and session management automation with CSRF handling.
• Debugged AJAX queries and updated API query parameters for data retrieval.
• Diagnosed and fixed HTTP request errors, focusing on POST/GET methods and CSRF tokens.
• Requested HTML file upload for data extraction tasks.

Achievements:

• Successfully implemented automation scripts for AJAX requests and session management.
• Resolved HTTP 405 errors and improved request formatting.

Pending Tasks:

• Awaiting HTML file upload to proceed with data extraction and processing.

Evidence

• source_file=2024-09-25.sessions.jsonl, line_number=2, event_count=0, session_id=31155fdbb6e4c4de9796a5339d379bedbe335a9a4bbfd4c1783c37dfd87a9bab
• event_ids: []