YT-Channel-Stats-for-Data-Science-using-API

What does this code do?

This code uses YouTube's API to grab the latest 50 videos from any channel, to give you a Pandas DataFrame containing:

1. video_id
2. video_title
3. upload_date
4. view_count
5. like_count
6. comment_count for the latest 50 videos.

Need to update the code so it fetches data for max_results number of videos.

Why should I try it out?

Great project to understand how API's work and how API Quota works.

What can be improved?

Currently, the code only fetches the latest 50 videos leaving you with a DataFrame of no more than 50 videos for any Channel. Need to find a way to grab the nextPageToken each time.

How to use

A] CHANNEL_ID

1. For any YouTube channel, go to their landing page (like https://www.youtube.com/@MrBeast)
2. Press CTRL + U for Windows which should take you to the page's source code
3. CTRL + F for "?channel" which will take you to the channel_id
4. Plug it into the code where CHANNEL_ID is mentioned

B] API_KEY

1. Refer to this super concise blog https://www.slickremix.com/docs/get-api-key-for-youtube/
2. Get your API_KEY and plug it into the code where mentioned

C] Helpful Links

1. Short and sweet tutorial used for reference - by Strata Scratch, great data science resource
2. List of Methods - to read up on the various channel properties that you can request for
3. Quota Dashboard - to check how much quota you have remaining
4. Quota Calculator - to know the cost of each method that you'll use

Plug in the CHANNEL_ID and API_KEY and the code is good to go :)

For reference, this what the DataFrame for Mr Beast's channel looks like: