I’ve looked at some guides online but I’m still confused. Is it possible to make the bot work automatically in new servers I join without changing the code? I’m not sure how to handle the YouTube API part either.
Has anyone done something like this before? Any tips or code examples would be super helpful! I’m pretty new to bot development so I’d appreciate any advice. Thanks!
hey mate, i’ve done smth similar. it’s def possible but u need to set up oauth2 for the bot to join new servers automatically. for youtube stuff, use their data api. make sure to handle rate limits tho. dm me if u want more specifics, happy to help!
I’ve actually tackled a similar project recently, and it’s definitely doable. Here’s what I learned:
For the YouTube API, you’ll want to use their PubSubHubbub functionality. It’s way more efficient than polling and gives you real-time updates.
To handle multiple servers, I ended up using a database to store server-specific settings. This way, you can customize notification channels and roles for each server individually.
One tricky part was managing OAuth tokens for each channel you’re monitoring. Make sure you implement proper token refresh logic to avoid interruptions.
Also, be careful with the @everyone mentions. Some servers might not appreciate that, so maybe add an option for admins to disable it.
Lastly, test thoroughly across different server sizes. What works for a small server might cause issues in larger ones. Good luck with your project!
I’ve implemented a similar bot for my gaming community. Here’s what worked for me:
For automatic joining of new servers, you’ll need to set up OAuth2 with the proper scopes. This allows the bot to be invited without manual intervention.
Regarding YouTube notifications, I found the YouTube Data API v3 most reliable. You’ll want to use the ‘activities’ endpoint to poll for new videos efficiently.
For role-based notifications and @everyone pings, you’ll need to store server-specific settings in a database. This allows customization per server without code changes.
One challenge was managing API quotas across multiple servers. I implemented a queue system to spread out requests and avoid hitting limits.