'How to get public metrics for >3K list of twitter ids using API V2 in Pyspark
I have a dataset of more than 3K twitter ids for which I need to retrieve the public metrics (retweet_count, reply_count, like_count) and author_id and after this save all the info in a dataframe. I've tried to use get_tweet from API v2 but it looks like it only accepts one twitter id at a time:
twitter_client = tweepy.Client(TW_bearer_token, TW_api_key, TW_api_key_secret)
tweets = twitter_client.get_tweet(1019696670777503745, tweet_fields=['public_metrics']).data.public_metrics
Any idea on how I could retrieve these info and then append it to a dataframe?
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