How To Scrape Followers Of Any Twitter User From Command Line PORTABLE

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How To Scrape Followers of Any Twitter User from Command Line

Twitter is a popular social media platform that allows users to follow each other and share their thoughts, opinions, and news. If you want to analyze the followers of any Twitter user, you might want to scrape their data and save it in a file for further processing. In this article, we will show you how to scrape followers of any Twitter user from command line using a simple Python script.

Prerequisites

To follow along with this tutorial, you will need:

A Twitter account and an API key. You can get one from here.

Python 3 installed on your system. You can download it from here.

The tweepy library installed on your system. You can install it using pip: pip install tweepy

A text editor or an IDE of your choice.

Step 1: Create a Python file and import tweepy

Create a new Python file and name it scrape_twitter_followers.py. Then, import the tweepy library at the top of the file:

import tweepy

Step 2: Authenticate with Twitter API

Next, you need to authenticate with the Twitter API using your credentials. You can find them in your developer dashboard. Replace the placeholders with your own values:

# Replace these values with your own API key

consumer_key = \"YOUR_CONSUMER_KEY\"

consumer_secret = \"YOUR_CONSUMER_SECRET\"

access_token = \"YOUR_ACCESS_TOKEN\"

access_token_secret = \"YOUR_ACCESS_TOKEN_SECRET\"

# Create an OAuth handler and set the access token

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)

auth.set_access_token(access_token, access_token_secret)

# Create an API object and pass the auth handler

api = tweepy.API(auth)

Step 3: Define the target user and the output file

Now, you need to specify the target user whose followers you want to scrape. You can use their username or user ID. For example, we will use the username of @BarackObama. You also need to define the name of the output file where you want to save the scraped data. We will use followers.csv:

# Define the target user

target_user = \"@BarackObama\"

# Define the output file

output_file = \"followers.csv\"

Step 4: Write a function to scrape followers

The next step is to write a function that will take the target user and the output file as parameters and scrape their followers using the tweepy API. The function will use a cursor object to iterate over the followers of the target user and write their data to the output file in CSV format. The data will include their username, name, location, description, followers count, friends count, statuses count, and created at date. The function will also print the number of followers scraped so far:

# Write a function to scrape followers

def scrape_followers(target_user, output_file):

# Open the output file in write mode

with open(output_file, \"w\") as f:

# Write the header row

f.write(\"username,name,location,description,followers_count,friends_count,statuses_count,created_at\\n\")

# Initialize a counter

count = 0

# Use a cursor object to iterate over the followers

for follower in tweepy.Cursor(api.followers, screen_name=target_user).items():

# Get the follower data

username = follower.screen_name

name = follower.name

location = follower.location

description = follower.description

followers_count = follower.followers_count

friends_count = follower.friends_count

statuses_count = follower.statuses_count

created_at = follower.created_at

# Write the follower data to the output file

f.write(f\"{username},{name},{location},{description},{followers_count},{friends_count},{statuses_count},{created_at}\\n\")

# Increment the counter

count aa16f39245