Automating twitter scrapping


I am doing some sentiment analysis for a piece of academic work.

I am looking at the sentiment of user replies to a series of original tweets. I have a years worth of original tweets (to which i have the conversation_id for each original Tweet). I have then written the below very basic code to get all the replies liked to that conversation_id. But i am doing each one by one for the conversation ID. Can anyone recommend a way i could load a dataframe (or anything else) to speed this up?

#Build query of conversation_ids
ConvoID <-
conversation_id = 1244656682111811584,

#Run programme to extract replies to original tweets
PHE_tweets999 <-
query = ConvoID,
start_tweets = "2020-03-01T00:00:00Z",
end_tweets = "2021-03-31T00:00:00Z",
n = 1000

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