main.py

'''
Puspose: This code was create to find all the relavent user from a specific hashtag
date: 2022.07.06
Author: Khandoker Tanjim Ahammad
Parameter: Main parameter is the hashtag keyword , then the dates and also we can specify the language too 
Comments:




'''
#import dependencies 
import tkinter as tk
import pandas as pd
import tweepy
import datetime
current_date = datetime.datetime.now()

#create root window
root = tk.Tk()
root.title('Hashtag Generator')
root.resizable(False, False)

#labels
hashtag_label = tk.Label(text = 'enter Twitter HashTag to search for ')
date_label = tk.Label(text = "enter date of tweets 'yyyy-mm--dd' ")

hashtag_label.grid(row = 1, column = 0)
date_label.grid(row = 2, column = 0)


#entry widgets
hashtag = tk.Entry()
date = tk.Entry()

hashtag.grid(row = 1, column = 2)
date.grid(row = 2, column = 2)

#getting the entered values and attaching them to variables
words = hashtag.get()
date_since = date.get()

# dataframe function for excel file to display data of each tweet
def printtweetdata(n, ith_tweet):
        print()
        print(f"Tweet {n}:")
        print(f"Username:{ith_tweet[0]}")
        print(f"Description:{ith_tweet[1]}")
        print(f"Location:{ith_tweet[2]}")
        print(f"Following Count:{ith_tweet[3]}")
        print(f"Follower Count:{ith_tweet[4]}")
        print(f"Total Tweets:{ith_tweet[5]}")
        print(f"Retweet Count:{ith_tweet[6]}")
        print(f"Tweet Text:{ith_tweet[7]}")
        print(f"Hashtags Used:{ith_tweet[8]}")
 
 
# main data function which will be scrape from twitter to perform data extraction
def scrape(words, date_since, numtweet):
 
        # Creating Dataframe using pandas
        db = pd.DataFrame(columns=['username',
                                   'description',
                                   'location',
                                   'following',
                                   'followers',
                                   'totaltweets',
                                   'retweetcount',
                                   'text',
                                   'hashtags'])
 
        
    

        # we can also add lang="en" for specify the language in 
        #tweepy.Cursor(api.search_tweets,words,lang="en"since_id=date_since,tweet_mode='extended').items(numtweet)
        tweets = tweepy.Cursor(api.search_tweets,
                               words,
                               since_id=date_since,
                               tweet_mode='extended').items(numtweet)
 
        list_tweets = [tweet for tweet in tweets]

        i = 1
 
        for tweet in list_tweets:
                username = tweet.user.screen_name
                description = tweet.user.description
                location = tweet.user.location
                following = tweet.user.friends_count
                followers = tweet.user.followers_count
                totaltweets = tweet.user.statuses_count
                retweetcount = tweet.retweet_count
                hashtags = tweet.entities['hashtags']
 
                try:
                        text = tweet.retweeted_status.full_text
                except AttributeError:
                        text = tweet.full_text
                hashtext = list()
                for j in range(0, len(hashtags)):
                        hashtext.append(hashtags[j]['text'])
 
                # Here we are appending all the
                # extracted information in the DataFrame
                ith_tweet = [username, description,
                             location, following,
                             followers, totaltweets,
                             retweetcount, text, hashtext]
                db.loc[len(db)] = ith_tweet
 
                # Function call to print tweet data on screen
                printtweetdata(i, ith_tweet)
                i = i+1
        #filename = 'match_one_tweets.xlsx'
        filename = str('_hashtag_list_')+str(current_date.year)+str('_')+str(current_date.month)+str('_')+str(current_date.day)
        # we will save our database as a CSV file.
        db.to_excel(str(words+filename + '.xlsx'),index=False)

#callback function for button
def callback():

    if __name__ == '__main__':
 
            # Enter your own credentials obtained
            # from your developer account
            consumer_key = "api key"
            consumer_secret = "api key"
            access_key = "api key"
            access_secret = "api key"
 
 
            auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
            auth.set_access_token(access_key, access_secret)
            global api
            api = tweepy.API(auth)
            # number of tweets you want to extract in one run
            numtweet = 1000
            scrape(words, date_since, numtweet)
            output = tk.Label(text = 'Scraping complete!')
            output.grid(row = 5, column = 0)
        
    
button = tk.Button(text = 'search', foreground = 'white', background = 'blue',
                   command = callback)
button.grid(row = 4, column = 2)
        
tk.mainloop()