📅 2025-09-30 — Session: Developed Python pipeline for social media data export
🕒 19:20–19:40
🏷️ Labels: Python, Data Processing, Instagram, Facebook, CSV, JSON
📂 Project: Dev
⭐ Priority: MEDIUM
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.