shubhamcodez/Twitterscraper.py Secret

## Twitterscraper.py
# Make sure you pip install snscrape pandas
import snscrape.modules.twitter as sntwitter
import pandas as pd

#Enter usersnames of the users whose tweets you need in the list
users = ['elonmusk']
#Enter the number of tweets per user you'd like. Note: In case user has less than limit, all the tweets get downloaded.
limit = 10000
for user in users:
    until = "2022-12-15" #Enter the date until you want the tweet for
    since = "2022-01-01" #Enter the date from the tweets start getting queried
    query = f"(from:{user}) until:{until} since:{since}"
    tweets = []

    for tweet in sntwitter.TwitterSearchScraper(query).get_items():
    #print(vars(tweet)) #gets all the attributes retrieved.
        if len(tweets) == limit:
            break
        else:
            contents = [tweet.user.displayname, tweet.user.username, tweet.url, tweet.date, tweet.content, tweet.retweetCount, tweet.likeCount] #Instruction: Add more attributes here
            tweets.append(contents)

    df = pd.DataFrame(tweets, columns= ["Username","User handle", "Tweet", "Date of posting" ,"Text","Retweet count","Like count"]) #Instruction: add a new name for column added
    df.to_csv(user+'tweets.csv')
	# Make sure you pip install snscrape pandas
	import snscrape.modules.twitter as sntwitter
	import pandas as pd

	#Enter usersnames of the users whose tweets you need in the list
	users = ['elonmusk']
	#Enter the number of tweets per user you'd like. Note: In case user has less than limit, all the tweets get downloaded.
	limit = 10000
	for user in users:
	until = "2022-12-15" #Enter the date until you want the tweet for
	since = "2022-01-01" #Enter the date from the tweets start getting queried
	query = f"(from:{user}) until:{until} since:{since}"
	tweets = []

	for tweet in sntwitter.TwitterSearchScraper(query).get_items():
	#print(vars(tweet)) #gets all the attributes retrieved.
	if len(tweets) == limit:
	break
	else:
	contents = [tweet.user.displayname, tweet.user.username, tweet.url, tweet.date, tweet.content, tweet.retweetCount, tweet.likeCount] #Instruction: Add more attributes here
	tweets.append(contents)

	df = pd.DataFrame(tweets, columns= ["Username","User handle", "Tweet", "Date of posting" ,"Text","Retweet count","Like count"]) #Instruction: add a new name for column added
	df.to_csv(user+'tweets.csv')