Skip to content

Program that analyses popular YouTube videos and displays what tags are popular.

Notifications You must be signed in to change notification settings

alexsikorski/youtube-trends

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

youtube-trends

Software designed to analyse trending videos and display which tags are popular.

Language

Python 3.8

Setup

Libraries

Google APIs Client Matplotlib

Pip
  • pip install --upgrade google-api-python-client
  • pip install --upgrade google-auth-oauthlib google-auth-httplib2
  • pip install --upgrade matplotlib
Note

Download YOUR_CLIENT_SECRET_FILE.json and place in directory, this is done following the api setup tutorial provided by Google.

Running

  1. Run get_data.py, this will produce Json files containing popular YouTube videos with respective meta data.
  2. Run transform.py, this extracts the desired analytical data and and simplifies the format for further processing.
  3. Run analyser.py, this opens the generated file and can be used to manipulate or view the data acquired. Optional: Run tag_definer.py if tag definitions are outdated and/or you would like to customise them.

Feature plan

  • Directory of data stored relative to day date.
  • Directory selection and data visualisation.
  • View topics and respective views followed by a break-down.

Author

Alex Sikorski

About

Program that analyses popular YouTube videos and displays what tags are popular.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages