ytad 0.0.7

A tool for adding YouTube video like/dislike counts to video descriptions.

YouTube Automation

Using YouTube's API, this repository will work toward automating tedious tasks for YouTube channels. The main objective is to update YouTube Descriptions with the number of likes, dislikes, likes/(likes+dislikes), timestamp up to the YouTube API limit. Check out my YouTube Like, Dislike Counter Playlist!

Requirements:

• Python >= 3.7
• PyPi distribution

pip install ytad

Setup Requirements

• Need YouTube account with at least one public video
• Register your account with Google console developers
• Need to enable API (YouTube Data API V3)
• Create .env file in root directory

# Contents of .env
CLIENT_SECRET_FILE=client_secret_web_app.json
CHANNEL_ID='YOUR_CHANNEL_ID'

• You have the choice to choose which OAuth to use; In production, I used Web App
  • Create OAuth Client ID: > Web App > Name Web App App > Create > Download OAuth Client (JSON)
    • This will be your web app secret file. (Rename downloaded OAuth Client to client_secret_web_app.json)
• Setup up OAuth Consent Screen
  • Make sure to add your testing email as a test user to access your YouTube account (need to manually do this)
• Ensure to verify your application! Run the following:

# creates a token.pickle file for authentication
from ytad.authentication import Authenticate
auth = Authenticate()
youtube = auth.check_token_web_app_data_api()

For CLI capability, try the following:

uvd -h # input your arguments for ease of use.

# example
uvd --update_df=Yes --verify_each_update=Yes

Example: Command Line Interface (CLI) explained

"""This has been deprecated; however, if you want to clone this repository for familiarity and function, this option still remains."""
python update_notifications.py --help
python .\update_notifications.py --update_df=Yes --verify_each_update=Yes

Cloud

I used AWS services to ensure a cron job (in production) is enacted. This is a low cost solution, utlizing lambda functions and minimial time on Ec2 instances.

• The cloud setup and infrastructure can be found here

Goals of Library:

• Scrape personal Likes/Dislikes from backend (YouTube Studio)
• Automating the update(s) of descriptions in videos
• Executable with parameters and pip installable
• cron job
• Minimization of YouTube Requests
• Keygen for API calls
• argparse: CLI enabled.
• setup.py (on pypi) for installation

Remaining TODOs:

• Verify setup with @SpencerPao
• Overhaul CLI (maybe this should be another issue and version though)
• Test API and authentication
• Create PyPI and TestPyPI accounts
• Build package wheel
• Test package with twine
• Upload package with twine
• Try installing with pip