I have an Academic account on twitter and would like to get all the tweets in a month from a particular country that have one or more of a set of strings in them.
My attempt so far using v2 of the API is:
import tweepy
client = tweepy.Client(bearer_token=secret_token)
query = 'covid -is:retweet place_country:GB'
# Replace with time period of your choice
start_time = '2020-03-01T00:00:00Z'
# Replace with time period of your choice
end_time = '2020-04-01T00:00:00Z'
tweets = client.search_all_tweets(query=query, tweet_fields=['context_annotations', 'created_at', 'geo'],
start_time=start_time, end_time=end_time,
place_fields=['place_type', 'geo'], expansions='geo.place_id', max_results=500)
I believe (but could be wrong) that this returns 500 tweets that have GB as their geolocation , are not retweets, were created in March 2020 and contain the string "covid".
- How can I replace "covid" with a set of strings that it should be searching for? For example
["covid", "coronavirus"]. - How can I get it to return many more than 500 tweets? In theory I can extract more than million a month with the academic account but
search_all_tweetshas a limit of 500.