This Python bot checks the most subscribed music artist channels on YouTube and makes a top chart.
It runs (almost) 24/7 thanks to GitHub Actions.
You see the charts on the web app in a nice Material UI.
The website can be "installed" as Web App on Android, iOS and Windows 10.
It has the benefits of the app and the advantages of the web: it takes zero space in memory but it can also work offline as a normal app would.
Assuming that you have Python3 and pip installed on your machine:
clone https://github.com/marco97pa/MostSubYTMusicChannels.gitcd MostSubYTMusicChannelspip install rich./show.py
You can request a new artist (channel) to track by:
- Sending a direct message on Twitter
- Opening a new issue on Github
- Propose a change on the channels.csv file
Remember that only single music artist channels are approved and that it should have at least half subscribers of the most subscribed channel on YouTube.
Example:
As of January 2020, Justin Bieber is the first with 60 Million subscribers.
Only channels with at least 30 Million will be accepted.
The script is the main.py.
Data is stored in channels.csv and it is updated every 5 ~ 30 minutes using GitHub Actions
To build your own (maybe the Most subscribed YouTube Cooking channels?): 0. Clone this repository
- Get your API Keys from YouTube
- Paste them in the main.py file or set them as environment variables
- Run main.py to check for new updates on the subscribers of the channels listed in channels.csv
The web app is written in React using the Ionic5 framework.
Source is stored in the /webapp directory of the main branch.
The site is deployed on the gh-pages branch instead.
To deploy the website, follow this really helpful guide and make sure that the generated index.html has the right paths to scripts, CSSes and other resources.