Enhanced Instagram Data Processing and Pipeline Management

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Enhanced Instagram Data Processing and Pipeline Management

  • Day: 2025-10-12
  • Time: 08:00 to 10:30
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Python, Instagram, Data Processing, Makefile, Automation

Description

Session Goal

This session aimed to enhance the Instagram data processing scripts and pipeline management, focusing on improving code efficiency, fixing bugs, and ensuring data integrity.

Key Activities

  • Implemented minimal upgrades to existing Python scripts for Instagram data processing, including new functions for chat indexing and follower data unification.
  • Enhanced the Makefile for Instagram data pipeline management, introducing centralized configurations, safety checks, and backward compatibility.
  • Addressed health and safety concerns related to chemical exposure and nasal care.
  • Fixed path variables in Makefiles to ensure correct data export processes.
  • Debugged the ig-quick pipeline to resolve issues with message extraction and chat files.
  • Improved HTML data extraction from Instagram exports using BeautifulSoup.
  • Reordered main functions and improved chat indexing in the Instagram export pipeline.
  • Confirmed the Instagram data pipeline structure and addressed API drift issues.
  • Fixed overlapping issues in data extraction and improved profiles CSV handling.

Achievements

  • Successfully upgraded and debugged the Instagram data processing scripts and pipelines, ensuring smoother operation and data integrity.
  • Enhanced Makefile configurations for better pipeline management and error handling.
  • Provided solutions for chemical exposure and nasal care, ensuring health safety.

Pending Tasks

  • Further testing of the updated pipeline and scripts to ensure all edge cases are handled.
  • Continuous monitoring of API changes to adapt the data processing scripts accordingly.

Evidence

  • source_file=2025-10-12.sessions.jsonl, line_number=2, event_count=0, session_id=170341f528ecfaa67a716d932b11f0ac89cc45608cf7eab4e50f629cd5832e57
  • event_ids: []

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