Mentor/s
Christopher Santorelli, Claudio Schapsis
Participation Type
Poster
Abstract
Tiktok’s research API allows users to send HTTP requests to TikTok and receive responses as JSON data. These HTTP requests can be tedious to write and send, as well as the response data being raw and unorganized. This project consists of a python program that works with Tiktok’s research API. It provides an easy to use interface that takes simple information about the data the user wants, and then generates and runs the HTTP requests. It then automatically downloads the JSON Response data cleaned up and ready to use for research.
College and Major available
Computer Science BS
Location
Digital Commons & West Campus West Building University Commons
Start Day/Time
4-26-2024 12:00 PM
End Day/Time
4-26-2024 2:00 PM
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Prize Categories
Best Multidisciplinary Research or Collaboration, Most Scholarly Impact or Potential, Best Technology Prototype
TikTok Data Puller
Digital Commons & West Campus West Building University Commons
Tiktok’s research API allows users to send HTTP requests to TikTok and receive responses as JSON data. These HTTP requests can be tedious to write and send, as well as the response data being raw and unorganized. This project consists of a python program that works with Tiktok’s research API. It provides an easy to use interface that takes simple information about the data the user wants, and then generates and runs the HTTP requests. It then automatically downloads the JSON Response data cleaned up and ready to use for research.
Students' Information
Graig McMenamin - Major: Computer Science, Minor: Mathematics, Graduation: May 2024
Winner, Best Technology Prototype 2024 Award
Honorable Mention, Dean's Prize: Welch College of Business & Technology