I need a clear picture of how two specific Instagram accounts have interacted through direct messages. Your task is to mine the data, confirm every instance of DM contact between the profiles, and then dig into the content of those messages to surface any patterns, themes, or notable insights. Here is what I expect: • Securely collect the full history of direct messaging interactions between the two handles I will provide. • Extract metadata for each exchange (timestamps, sender → receiver direction, attachments, etc.) and the message text itself. • Perform a concise content analysis: sentiment overview, recurring keywords or topics, and any spikes in activity worth highlighting. • Deliver a well-structured report—PDF or Google Doc is fine—plus a spreadsheet or database dump with the raw and cleaned data so I can run my own queries later. Visuals such as timelines or simple charts are a bonus if they help tell the story. Feel free to rely on Python, the Instagram Graph API, headless browser scraping, Pandas, NLP libraries, or any workflow you are comfortable with, provided you stay within Instagram’s terms of service and keep personal data secure. Let me know in your bid which approach you prefer and how long it will take to hand over the finished report and dataset.