Created
May 4, 2018 08:05
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killabot v1 (wip)
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# Requirements: pip install tweepy fuzzywuzzy python-Levenshtein | |
import tweepy | |
import re | |
from fuzzywuzzy import fuzz | |
# Credentials go here (generate at: https://apps.twitter.com) | |
auth = tweepy.OAuthHandler('consumer_key', 'consumer_secret') | |
auth.set_access_token('access_token', 'access_token_secret') | |
# Connect to Twitter | |
api = tweepy.API(auth) | |
# Grab last 200 mentions | |
mentions = api.mentions_timeline(count=200) | |
# Loop through the mentions | |
for tweet in mentions: | |
# Calculate simple Levenshtein distance ratio (non-alpha characters stripped with regex) | |
ratio = fuzz.ratio("Your Profile Name Here", re.sub(r'([^\s\w]|_)+', '', tweet.user.name)) | |
# If the ratio is > 80 and followers below 100, report the user | |
if ratio > 80 and tweet.user.followers_count < 100: | |
# Submit the report | |
report = api.report_spam(user_id=tweet.user.id, screen_name=tweet.user.screen_name) | |
# Feedback with report | |
print("Reported: " + tweet.text + " - " + tweet.user.screen_name) |
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I just found this off Reddit, and I think it's funny, the name of this. Based off my internet handle, I named a Discord bot I run "Killabot," and it's also written in Python. What a co-incidence, lol