(un)follow button) and click (to send the cursor position to the AMC) At some point the AMC will be downloaded minus the extra stuff. see the irony?) after you've clicked the EXE file. some toolbar), keep clicking the Decline button (about 5 times. In case you get it from Tucows too and don't want to install any of the extra stuff (e.g. This was also the only one that actually installed and didn't freak out Norton AV. I downloaded a simple and free AMC from Tucows. So, I just had a great idea and I'd like to share it with you use an Auto Mouse Clicker tool! An AMC puts some automation back into TweetAdder and the likes And clicking the mouse button 1000s of times (on (un)follow buttons), isn't fun and actually starts to hurt after several 100s of rapid clicks. Since Twitter has banned bulk (un)following, tools like TweetAdder have become quite labor intensive. DictWriter ( f, fieldnames = USER_FIELDS ) w. writerow ( USER_FIELDS ) # Using csv.DictWriter w = csv. writeheader () USER_FIELDS from nstants import USER_FIELDS # Using csv.writer w = csv. DictWriter ( f, fieldnames = TWEET_FIELDS ) w. writerow ( TWEET_FIELDS ) # Using csv.DictWriter w = csv. Useful to declare headers with csv writers: from nstants import TWEET_FIELDS # Using csv.writer w = csv. from twitwi import format_user_as_csv_row row = format_user_as_csv_row ( normalized_user ) TWEET_FIELDS from twitwi import format_tweet_as_csv_row row = format_tweet_as_csv_row ( normalized_tweet ) format_user_as_csv_rowįunction formatting the given normalized Twitter user as a list able to be written by a csv.writer as a row. from twitwi import transform_user_into_csv_dict # The function returns nothing, `normalized_user` has been mutated transform_user_into_csv_dict ( normalized_user ) format_tweet_as_csv_rowįunction formatting the given normalized tweet as a list able to be written by a csv.writer as a row. mutating, so beware) a given normalized Twitter user into a suitable dict able to be written by a csv.DictWriter as a row. from twitwi import transform_tweet_into_csv_dict # The function returns nothing, `normalized_tweet` has been mutated transform_tweet_into_csv_dict ( normalized_tweet ) transform_user_into_csv_dictįunction transforming (i.e. mutating, so beware) a given normalized tweet into a suitable dict able to be written by a csv.DictWriter as a row. collection_source *(string, optional): An optional information to add to the tweets to indicate whence you collected them.įunction transforming (i.e.extract_referenced_tweets (bool, optional): whether to keep referenced tweets (retweeted, quoted etc.) in the output.locale (pytz.timezone, optional): timezone used to convert dates.payload (dict): tweets payload coming from Twitter API v2. from twitwi import normalize_tweets_payload_v2 # Normalizing an entire tweets payload to extract a list of tweets normalize_tweets_payload_v2 ( payload ) # Normalizing an entire tweets payload to extract a list of tweets # as well as the referenced tweets (quoted, retweeted, etc.) normalize_tweets_payload_v2 ( payload, extract_referenced_tweets = True ) # Converting found dates to a chosen timezone from pytz import timezone paris_tz = timezone ( 'Europe/Paris' ) normalize_tweets_payload_v2 ( payload, locale = paris_tz ) Useful constants (under nstants)įunction taking an entire tweets payload from the v2 API and returning a list of the contained tweets normalized and structured in a way that makes further analysis of the data convenient. You can install twitwi with pip with the following command: pip install twitwi A collection of Twitter-related helper functions for python.
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