Giter VIP home page Giter VIP logo

darmorgamz / youtube-metadata-analysis Goto Github PK

View Code? Open in Web Editor NEW
1.0 1.0 0.0 1.49 MB

This project is designed to analyze top videos from specific YouTube channels and extract insights about what makes these videos successful based on their metadata such as tags, keywords, and descriptions.

Home Page: https://metadata.darmorgamz.ca

License: GNU General Public License v3.0

HTML 1.05% CSS 0.11% JavaScript 98.84%

youtube-metadata-analysis's Introduction

Contributors Forks Stargazers Issues MIT License LinkedIn


Logo

Youtube Metadata Analyser

This project is designed to analyze top videos from specific YouTube channels and extract insights about what makes these videos successful based on their metadata such as tags, keywords, and descriptions.

View Demo · Report Bug · Request Feature

About The Project

Built With

(back to top)

Getting Started

Prerequisites

Assumed you have NPM, Node.js and Python3 installed on your machine

AWS Amplify CLI

npm install -g @aws-amplify/cli
amplify configure
SignIn to AWS
Create IAM user (ex. Amplify-Dev)
Attach policies directly (AdministratorAccess-Amplify) *Note this isn't the safest option, but is the quickest option
Security credentials->Create acces key->CLI
Copy accessKeyId, and secretAccessKey into terminal

Create React App2

npx create-react-app {Your App2 Directory Name}
cd {Your App2 Directory Name}
npm start

Initialize AWS Amplify

amplify init
npm install aws-amplify @aws-amplify/ui-react
amplify add hosting
amplify publish

Add AWS Amplify Api

amplify add api

Add AWS Amplify Auth

amplify add auth

Add EsLint

npm init @eslint/config

NextUI

npm i @nextui-org/react

Before running the scripts, you need to set up your environment and install necessary dependencies.

Prerequisites

The codebase is written in Python 3. If you don't have Python installed, download and install it from python.org.

Install Dependencies

Navigate to the project directory and install the necessary Python packages using pip:

cd Youtube-Metadata-Analysis
pip install -r requirements.txt

Obtain YouTube Data API v3 key

To access the YouTube Data API, you will need to obtain an API key from the Google Developer Console.

  1. Visit the Google Developer Console.
  2. Create a new project.
  3. Enable YouTube Data API v3 for that project.
  4. Generate an API key.

Once you have the API key, store it in a safe place and do not share it with anyone. You will need to include this key in your application.

(back to top)

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

(back to top)

License

Distributed under the GPL License. See LICENSE.txt for more information.

(back to top)

Contact

Darren Morrison - [email protected]

Project Link: https://github.com/DarmorGamz/Youtube-Metadata-Analysis

(back to top)

Acknowledgments

Myself ;)

(back to top)

youtube-metadata-analysis's People

Contributors

darmorgamz avatar

Stargazers

Carter Glynn avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.