TweepyCalls

Guide to use TweepyCalls

This implements core functions that can be used to call the Twitter API using Python-based tool - Tweepy. The functions include:

Before that, always remember to put Twitter Keys in the keys.py file and enter the command pip install -r requirements.txt to install required dependencies.

** Go to Twitter Developer Site to apply if you have not got these in hand.

TWITTER_APP_KEY="<YOURS>"
TWITTER_APP_SECRET="<YOURS>"
TWITTER_KEY="<YOURS>"
TWITTER_SECRET="<YOURS>"

1. Get posts by ids

from tweepy_calls import *
tweets_success, tweets_fail=acquire_from_twitter_api(["1248552109240283136"]) # here one tweet id is used for example
print(tweets_success)

2. Search tweets by keywords

from tweepy_calls import *
results=search_tweets(query="Beirut AND explosion",max_tweets=1000)
write2file(results,path=os.path.join("searched_tweets","beirut2020.json"))

** The searched results will be written to searched_tweets/beirut2020.json

3. Get replies of a tweet

from tweepy_calls import *
replies=get_replies(tweet_id="1244719763147968514", user_name="@WangcongcongCC")
print(len(replies))

** This will get all replies to this tweet that is posted by the user @WangcongcongCC

4. Online listening

from tweepy_calls import *

stream_listener = OnlineListener(config={"write_path":os.path.join("streammed_tweets","beirut_explosion_en.json")})
stream = tweepy.Stream(auth=api.auth, listener=stream_listener)
stream.filter(track=["Beirut","explosion"]) # filter by keywords
stream.filter(languages=["en"]) # filter by language
stream.sample(languages=["en"]) 

** The streams will be written to streammed_tweets/beirut_explosion_en.json

5. Other functions

print(len(get_followers(screen_name="WangcongcongCC"))) # get the users who follows @WangcongcongCC 
print(len(get_following(screen_name="WangcongcongCC"))) # get the users who @WangcongcongCC follows 
print(len(get_user_timeline(screen_name="WangcongcongCC"))) # get the timeline of @WangcongcongCC 

# get the information of user @WangcongcongCC and @ThoughtsNlp
users = api.lookup_users(screen_names=["WangcongcongCC","ThoughtsNlp"])
for user in users:
    print(user)