How to use Tweepy to query the Twitter API with Python
Twitter is a rich repository of public-facing data on every topic imaginable. You can access that dataset to create novel analysis using Tweepy, the API provided to Python users.
You can easily get a Twitter API key from https://developer.twitter.com/ and you can get access to a whopping 500K tweets a month for free!
There is full developer documentation at https://www.tweepy.org/ but you can use the below example as the quickest and easiest way to bring data from Twitter into a data frame and start working in Python with it.
Code example to use Tweepy
!pip install Tweepy
import tweepy as tw
token = 'YOUR_BEARER_TOKEN'
client = tw.Client(bearer_token=token)
# What to search for
query = '#yankees'
max_results = 100
# We grab tweets + context annotations + create date + user name of tweeter
tweets = client.search_recent_tweets(query=query, tweet_fields=['context_annotations', 'created_at'],user_fields=['name'], expansions='author_id', max_results=max_results)
#Return the tweet data as a dataframe
df2 = pd.DataFrame(tweets.data).astype(str)
# Collect the user IDs
df_users = pd.DataFrame(tweets.includes['users'])
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