Azure Functions - serverless compute service that enables users to run event-driven functions in the cloud.
We need a create small, single-purpose functions that are triggered by events. In this case a post on Twitter.
The beauty of functions is that are automatically scaled and managed by the platform, so we don't need to worry about server infrastructure or resource allocation.
To detect when something was published on Twitter using Azure Functions, we use the Twitter API to monitor the Twitter stream for new tweets.
New tweets will trigger the Azure Function (eventually when matching certain criteria is detected).
General steps you can follow:
- Create a new Azure Function and choose the appropriate trigger type: HTTP, Timer or Event Grid trigger.
- Configure the Twitter API in the Azure Function using Twitter developer credentials and setting up a connection to the Twitter API using antweepy package for Python.
- Write code in your Azure Function to monitor the Twitter stream for new tweets and filter the tweets based on certain criteria.
- When a new tweet matching your criteria is detected, trigger your Azure Function and perform the desired actions: storing the tweet data in a database, sending a notification, or triggering another API
- Azure subscription.
- Twitter developer account.
- Tweepy: https://docs.tweepy.org/en/stable/
