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Scraping Tweets using Tweepy and Python

3 min readMar 20, 2023

Scraping tweets from Twitter can be a useful way to analyze social media data and gain insights into trends and opinions. In this article, we will walk through how to scrape tweets using Tweepy, a Python library for accessing the Twitter API.

Photo by Chris J. Davis on Unsplash

If you are not able to visualise the content until the end, I invite you to take a look here to catch-up!

Step 1: Set up a Twitter Developer account

The first step is to set up a Twitter Developer account and create an app. This will give you access to the Twitter API and allow you to scrape tweets.

To create a Twitter Developer account, go to the Twitter Developer website and sign up. Once you have created an account, create a new app and generate API keys and access tokens. You will need these credentials to authenticate your requests to the Twitter API.

Step 2: Install Tweepy

Next, we will install Tweepy, a Python library for accessing the Twitter API. You can install Tweepy using pip, the Python package manager:

pip install tweepy

Step 3: Authenticate your requests

Now that we have installed Tweepy and have our API credentials, we can authenticate our requests to the…

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Jonathan Mondaut
Jonathan Mondaut

Written by Jonathan Mondaut

Engineering Manager & AI at work Ambassador at Publicis Sapient

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