twitter_scraper.py

import snscrape.modules.twitter as sntwitter
import pandas as pd
from time import sleep


tweet_data = []

username = input('Enter your keyword: ')
number = int(input('How many tweets do you want to scrape: '))

for i,tweets in enumerate(sntwitter.TwitterSearchScraper('{}'.format(username)).get_items()):
	if i>number:
	    break
	tweet_data.append([tweets.date,tweets.content,tweets.user.username,tweets.url])

df =pd.DataFrame(tweet_data,columns = ['Date','Tweets','Username','Url'])
df.to_csv('poc.csv',index =False,encoding = 'utf-8')