Built an automation pipeline that scrapes real-time card prices from online sources. The system processes population counts, PSA 10 values, and recent sales trends. It then dynamically generates TikTok-ready video templates with overlays, stats, and card images for social media growth in the collectibles niche.
Lucas Will
May 22, 2025
Automating Sports Card Price Tracking and Content Generation
I developed a Python-based scraper that pulls real-time pricing data, population counts, and recent sales trends from sources online. The system aggregates this data into structured summaries, ready for use in content creation pipelines. This allowed me to track value changes across thousands of Pokémon cards and other collectibles automatically.
Automated TikTok Content Creation at Scale
Using the scraped data, I built a pipeline that dynamically generates TikTok-ready video templates with overlaid stats, trending card images, and voiceover-ready scripts. This system helped drive over 500,000 views across multiple TikTok accounts focused on TV entertainment and collectible card content. It eliminated the need for manual editing and made it possible to post high-volume, data-driven social content daily.
This project shows my ability to combine web scraping, data processing, and automated content generation to build scalable social media growth tools with real audience reach.
