Developed Python pipeline for social media data export

• Day: 2025-09-30
• Time: 19:20 to 19:40
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Processing, Instagram, Facebook, CSV, JSON

Description

Session Goal

The session aimed to enhance and streamline a Python-based data export pipeline for Instagram and Facebook HTML data, converting it into clean CSV and JSON formats.

Key Activities

• Developed a script to export Instagram and Facebook data into CSV and JSON, ensuring parameterization and modularity.
• Refactored a Python utility for data extraction from HTML files, adding parser fallbacks and deduplication.
• Explored Python import semantics to resolve ModuleNotFoundError, recommending running scripts as modules.
• Imported essential libraries for data analysis, such as pandas and numpy.
• Created scripts to check file existence and extract summary statistics from CSV files.
• Loaded and inspected CSV data related to Facebook and Instagram contacts.
• Assessed communication artifacts and strategized on integrating a People Index and Messages Ledger.

Achievements

• Successfully developed and refactored scripts for exporting and processing social media data.
• Improved robustness and modularity of data extraction utilities.
• Established a framework for better communication data integration.

Pending Tasks

• Further integration of the People Index and Messages Ledger across communication channels.

Evidence

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• event_ids: []