I’m assembling a complete offline archive of roughly 200–300 YouTube videos and all their surrounding data, and I’d like a detail-oriented professional to handle the entire pipeline for me. Your job is to pull everything down, format it correctly, keep it impeccably organised, and place the finished package on the private server I will provide. Here’s what the work involves: • Download each video in MP4 format. • Generate a full transcript for every video, formatted line-by-line with timestamps, then save it as both .txt and .pdf. • Scrape every public comment and reply, capturing the text, author, date, likes, and any available thread hierarchy, and export that to .csv or .xlsx. • Collect all metadata—title, upload date, description, views, likes, tags, etc.—and compile it into a single spreadsheet (Google Sheets or Excel). • Create a clear folder structure so that each video’s MP4, transcripts, comments file, and a copy of its metadata can be located instantly. • Upload the finished archive to my private server and verify file integrity. I’m comfortable with tools such as yt-dlp, YouTube Data API, or a custom Python script—use whatever combination you trust to get reliable results at scale—but I expect clean logs and repeatable commands so I can reproduce the scrape if ever needed. Accuracy and discretion are non-negotiable. Please confirm your experience with large-scale YouTube scraping, note any automation or rate-limit considerations you plan to handle, and outline your estimated turnaround time. If this sounds like a process you’ve mastered, I’m ready to get started right away.