gpsyrou/tube-virality
The YouTube Virality project collects and analyzes trending video data from multiple countries using the YouTube API. It aims to gather metrics like view counts, likes, and descriptions, then apply data science techniques to predict a video's likelihood of going viral.
This project helps YouTube content creators, marketers, and analysts understand why some videos go viral. It collects daily data on trending videos from many countries, including views, likes, comments, and channel subscriber counts. By analyzing these metrics, it helps predict which videos are likely to achieve viral success.
Use this if you are a content creator, social media manager, or digital marketer looking to understand the mechanics of YouTube virality and identify factors that lead to successful video performance.
Not ideal if you need real-time, instantaneous virality predictions, as this project focuses on daily trending data and historical analysis.
Stars
28
Forks
7
Language
Python
License
MIT
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/gpsyrou/tube-virality"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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