I apologize in advance if I don't know how to search the Tweepy documentation. I am quite new to python/programming in general.
I have written a small script to pull Twitter follower data for an account I manage for work. I would like to investigate when followers added us to see if our posts are increasing engagement. What I cannot figure out is if I can use the Tweepy module to pull this particular information (when the follower added us)?
Thank you in advance for any help. My MWE:
import tweepy
import pandas as pd
# Load API keys
consumer_key = "my_consumer_key"
consumer_secret = "my_consumer_secret"
access_token = "my_access_token"
access_token_secret = "my_access_token_secret"
# Authenticate access to Twitter API
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
# Get the list of followers for the account
followers = api.followers_ids()
# Create a user map
userMap = {}
# Loop over all users
for f in followers:
# create a temporary list
tempList = []
try:
tweets = api.user_timeline(f, count = 33) # pull the 33 most recent tweets
except tweepy.TweepError:
print('Failed to run command.') # Tweepy throws an error if a user hasn't tweeted
# Loop over all tweets per each user f
for t in tweets:
tempList.append(t)
userMap[f] = tempList
# Create lists of pertinent data
dateList = []
favList = []
rtList = []
keyList = []
def genList(tweetList):
for tweets in tweetList:
for t in tweets:
keyList.append(str(t.id))
dateList.append(str(t.created_at))
favList.append(str(t.favorite_count))
rtList.append(str(t.retweet_count))
genList(userMap.values())
# Create a pandas data frame
df = pd.DataFrame(list(zip(keyList, dateList, favList, rtList)),
columns = ['userID', 'created_at', 'favorited', 'retweeted'])
This information is not provided by Twitter.
The followers/list
(in Tweepy followers()
method) returns a list of User objects. It looks like the only solution is to monitor the changes and manage the history yourself.