Use Python to Grab Twitter Data: Easiest Guide to Tweepy API

Paul Yang - November 10th, 2022

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 and you can get access to a whopping 500K tweets a month for free!

There is full developer documentation at 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

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(

# Collect the user IDs
df_users = pd.DataFrame(tweets.includes['users'])


Einblick is an agile data science platform that provides data scientists with a collaborative workflow to swiftly explore data, build predictive models, and deploy data apps. Founded in 2020, Einblick was developed based on six years of research at MIT and Brown University. Einblick customers include Cisco, DARPA, Fuji, NetApp and USDA. Einblick is funded by Amplify Partners, Flybridge, Samsung Next, Dell Technologies Capital, and Intel Capital. For more information, please visit and follow us on LinkedIn and Twitter.

Start using Einblick

Pull all your data sources together, and build actionable insights on a single unified platform.

  • All connectors
  • Unlimited teammates
  • All operators