Python Automation · Data Engineering
YouTube & Video Data Automation
Two related Python capabilities: public video and channel metadata scraping for structured dataset building, and authorized batch media processing with transfer-performance measurement and fallback logic.
YouTube & Public Video Metadata Scraping
Custom Python tooling for collecting structured metadata from public YouTube channels and playlists at scale. Designed for dataset building, research and content analysis — not media downloading.
- Channel discovery
- Playlist analysis
- Public video metadata collection
- Title extraction
- Publication date extraction
- Public engagement measurement
- Video identifiers and URL collection
- Duplicate handling
- CSV export
- JSON export
Authorized Batch Media Processing & Performance Testing
Python tooling for authorized batch media processing — measuring remote file sizes, transfer timing, write-to-disk duration and parallel-download capability. Demonstrated against authorized sources with real terminal output.
- Multi-file batch execution
- Remote file-size detection
- Transfer timing
- Write-to-disk timing
- Speed measurement
- Parallel-download capability testing
- Automatic single-thread fallback
- Summary generation
- CSV output
- Successful file creation
Project Evidence
Authorized batch processing — real terminal output.
Screenshots show actual tool execution: batch processing, remote file-size detection, download timing, transfer-speed measurement and output file creation. Transfer rates reflect a single demonstrated run and will vary across servers and network conditions.
Batch processing — team URL spreadsheet
Command prompt processing a spreadsheet of team URLs — five-file batch mode with per-file timing and transfer-speed measurement.
Parallel download — timing and transfer speed
Command-line terminal showing parallel-download testing with per-file timing, write-to-disk duration and transfer-speed measurement.
Video download progress — terminal log
Live terminal log of video download progress — showing fallback to single-thread mode and MP4 output file creation.
Chicago Blackhawks 2025–26 — database output
Structured database output for the Chicago Blackhawks 2025–26 roster — confirming successful write-to-disk and CSV generation.
Responsible Use
These tools were developed for authorized media processing and publicly accessible metadata. They are not presented as tools for bypassing access controls or downloading copyrighted material without permission.
Technologies
Related Projects