The YouTube Comments API is an application that allows the users to do the following:

1. Pull comment associated to a Youtube video by providing the Youtube video id
2. Analyse each comment and gives it a sentiment category of any number between -1 and 1. -1 been the most negative and 1 been most positive

The project was managed through and Agile method using a Trello board - to view the associated Trello click here

View the API Swagger Documentation for this API here This project relies on the YouTube Data API: view the YouTube API docs here

1. Typescript backend
2. PostgreSql database
3. Sequelise for Object Relational Mapper
4. Test Driven Development Approach implemented using Jest

1. Defining the scope of the project
2. Integrating with the YouTube Data API

• Successfully pulled Youtube comments associated to given valid video id
• Successfully analysed and categorised each comment pulled
• Successfully provided a full coverage testing for the application apis
• Successfully managed our project using Trello

• Provide an interesting frontend for the application
• Improve our analysis such that comments can be categorised in to SPAM, ABUSIVE, CHILD-INAPPROPRIATE
• Allow user to specify categories of analysis the would like to see
• Get all comments for all videos for a particular channel
• Add OAuth to allow users to login and use results to change their own YouTube channel settings
• Allow a user to update the 'blocked words' on their YouTube automated filter settings
• Enable users to delete comments or mark them as spam on their own YouTube content based on the API’s analysis.
• Allow users to be able to provide a list of words/phrases to be used to analyze the video comments
• Enable users to be able to view the top contributor for the video URL provided so that they can monitor their community

• Node version 19.18.2
• NPM version 9.8.1

1. Clone repo from https://github.com/darkmooink/Youtube-Comments-API.git
2. Create a database using PostgreSQL
3. Update the .env file with your database credentials - database name and login details.
4. Run the following command at the root of the project folder to install application dependencies:

npm i

• This installs all the packages required for the project as defined in the package.json file.

• Create a .env file based on the .env.template
• Configure with values for your development environment

• Run npm start to run in a development enviroment
• Run npm test to run the unit tests
• Run npm run test-w to run the unit tests in jest watch mode
• Run npm run live to run the live enviroment.
• View the landing page here: http://localhost:3000/youtubecomments/api/v1/ to
• Use POSTMAN / browser to view categorisation of comments -

      GET - http://localhost:<APPLICATION-PORT>/youtubecomments/api/v1/comments/<VIDEO-ID>/<NUMBER-OF-COMMENTS-TO-BE-RETURNED>?API_KEY=<YOUR-YOUTUBE-API-KEY>
        - sample API key is 9723667a-1fbe-4998-ae25-a832e1f9aae2