Makes twitter scrapping with multiple twitters apps easy again!

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Install from PyPi

pip3 install mtweepy

Or Install from main branch

pip3 install git+https://github.com/Souvic/mtweepy.git

Example usage

There are three functions in the repo: get_followers, get_timelines, get_users.

All the functions use all the auth tokens optimally for fastest scraping.

Apart from self explantory inputs:

1. As auths, a list of tweepy bearer tokens are expected if you want to use oauth2 limits for twitter api.
2. As auths, a list of [oauth_consumer_key, oauth_consumer_secret, client_secret, oauth_token, oauth_token_secret] are expected if you want to use oauth1 limits for twitter api.
3. use_userid parameter is by default False. If it is passed as True in get_followers, get_followers will treat the screen_name_or_userid parameter as userid for which follower is to be scraped.
4. output_folder is supposed to be an empty folder to save output from get_timelines and get_users functions.

An example usage is provided here.

Gets 5000*ceil(max_num/5000) number of followers' userids as a list for screen_name INCIndia

from mtweepy import get_followers, get_users, get_timelines
list_followers= get_followers(auths, "INCIndia", max_num=500)#gets list of followers appended in chunk of 5000, if max_num<5000, will get last 5000 followers.

Gets all the maximally extended user objects for list_followers(a list of user ids)

The output is saved in the output_folder as multiple jsonl files(one file per access token). Each line of jsonl files contains the maximally extended user object for one user.

get_users(auths, list_followers, output_folder="./testfolder1")

Gets all the tweets in the timelines of list_followers(a list of user ids)

The output is saved in the output_folder as multiple jsonl files(one file per access token). Each line of jsonl files contains last 3200 tweets of a user.

get_timelines(auths, list_followers, output_folder="./testfolder2")