Inspiration
We are inspired by the hardship that smaller, newer drag performers face in gaining exposure.
What it does
We developed a web application that looks up all the rising drag queens on TikTok based on specific criteria such as followers count and hashtags, and summarizes their information into one easily accessed list that can be updated over time.
How we built it
We used TikAPI to scrape data, including but not limited to usernames, followers count, and video information, from accounts posting drag related materials. This is done to identify the community of rising drag queens on TikTok. Then, the less-related results were filtered out based on specific criteria that are crucial for drag queens with good potential.
Challenges we ran into
Since a lot of test runs and data scraping from TikTok were involved in our product development, limitations imposed by TikAPI such as restricted number of requests per day, and the speed of data collection are some of the challenges we ran into. Similarly, filtering out accounts using specified criteria without pulling too many requests is one of our major concerns too.
Accomplishments that we're proud of
Being able to display the profiles was a big success for us.
What we learned
Mostly web scraping and front-end stuff.
What's next for MadDrag
We could further improve our account filtration method to identify unwanted accounts that match our specified criteria like fan accounts, accounts posting other users’ videos, and others. A collaboration could be planned with the listed drag queens to develop a calendar with the dates of all their performances, allowing the drag lover community to easily access their availabilities.
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