An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
I want to get top 100 tweets for the hashtag #KimJongUn filtered based on minimum number of likes say 1000. I ran the following commands,
Python 3.7
twint updated from master
Have searched issues without finding anything
Commands run>
c= twint.Config()c.Search = "#KimJongUn"c.Min_Likes = 1000c.Pandas = Truec.Limit = 100twint.run.Search(c)Tweets_df = twint.storage.panda.Tweets_df
But instead of getting tweets filtered by the number of likes, Im getting last 100 tweets tweeted using this hashtag, sorted based on time and not filtered based on minimum number of likes. Its not required in my case to get all the 50k tweets for a particular hashtag.What if there are 9M tweets. Its impossible for me to scrape all of them. Please let me know the fix for this issue.
pielco11
commented
4 years ago
I want to get top 100 tweets for the hashtag #KimJongUn filtered based on minimum number of likes say 1000. I ran the following commands,
Python 3.7 twint updated from master Have searched issues without finding anything
Commands run>
c= twint.Config()c.Search = "#KimJongUn"c.Min_Likes = 1000c.Pandas = Truec.Limit = 100twint.run.Search(c)Tweets_df = twint.storage.panda.Tweets_dfBut instead of getting tweets filtered by the number of likes, Im getting last 100 tweets tweeted using this hashtag, sorted based on time and not filtered based on minimum number of likes. Its not required in my case to get all the 50k tweets for a particular hashtag.What if there are 9M tweets. Its impossible for me to scrape all of them. Please let me know the fix for this issue.