Developed Instagram Data Processing Playbook

📅 2025-09-30 — Session: Developed Instagram Data Processing Playbook

🕒 18:50–19:10
🏷️ Labels: Instagram, Data Processing, Python, Automation, Jupyter
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to develop a comprehensive playbook for processing and ingesting Instagram data, focusing on automation and data parsing techniques.

Key Activities

• Instagram Message Retrieval: Analyzed 25 messages to extract key steps, dependencies, and configurations.
• Data Parsing Pipeline: Set up a data extraction pipeline using Python and BeautifulSoup to parse Instagram HTML exports, focusing on messages, profiles, and chat indices.
• Data Ingestion Playbook: Structured a playbook for ingesting Instagram data into a unified format, detailing parsers and enhancements for compatibility.
• Jupyter Notebook Management: Developed Python scripts to check for notebook existence, extract and print code and markdown cells, and analyze cell structures.

Achievements

• Created a distilled playbook for Instagram message retrieval and data ingestion.
• Established a robust data parsing pipeline with validation checks.
• Enhanced Jupyter notebook management with code extraction and analysis tools.

Pending Tasks

• Further refine the data ingestion playbook for broader compatibility with other platforms.
• Address potential issues in the data_parser.ipynb for improved stability.