musmem-social

Validation and consolidation of social media handles from .dat datasets uses a multi-phase workflow that builds athlete lists, searches and verifies handles, reviews preliminaries, and merges approved records with per-letter segmentation by platform and gender.

Automating bodybuilding athlete social handle lookup uses Python and Shell scripts organized by a phase-driven workflow, applying name normalization and deduplication to search, verify, and merge handles by platform and gender.

To resume an interrupted social media handle verification workflow, the process relies on per-platform, per-gender state files and detailed logs that track progress, allowing you to restart exactly where you left off.

The handle deduplication process does not store URLs or null values; it stores only platform handles and applies name normalization to prevent data leakage and duplication during the merge.

You need a config-driven social_media path to run the social media lookup scripts, which use Python and Shell scripts to manage each phase and ensure safe, auditable merges through strict file-based state management.