This script extract only the text from the twitter scraper

output_text.py

import csv
import sys
import os
import re

def remove_urls(text):
    url_pattern = re.compile(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+')
    return url_pattern.sub(r'', text)

def read_csv(filename, output_filename):
    with open(filename, 'r') as csvfile:
        reader = csv.DictReader(csvfile)

        with open(output_filename, 'w') as txtfile:
            for row in reader:
                content = row['Content']
                if content is None:
                    content = ''
                else:
                    content = remove_urls(content)
                txtfile.write(content + '\n')

def main():
    if len(sys.argv) != 2:
        print(f'Usage: {sys.argv[0]} input_filename')
        sys.exit(1)

    input_filename = sys.argv[1]
    basename = os.path.splitext(input_filename)[0]
    output_filename = basename + '.txt'
    read_csv(input_filename, output_filename)

if __name__ == "__main__":
    main()

run this like

python output_text.py twitter_account.csv