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A Python script to download all the tweets of a hashtag into a csv
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| ,michael,michaelxps,04.02.2019 14:14,file:///home/michael/.config/libreoffice/4; |
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| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Mon Feb 4 12:37:38 2019 | |
| @author: michael | |
| """ | |
| import tweepy | |
| import pandas as pd | |
| from tqdm import tqdm | |
| import time | |
| import numpy as np | |
| #import os | |
| #os.chdir('/home/michael/Documents/DeeperSignals') | |
| ####input your credentials here | |
| consumer_key = 'kmflAhDlFLYvVLzUhUTv5Agbw' | |
| consumer_secret = 'D8Giq3GMjIMaBQN0Qw63tsoHpajA7hNKy2ouo1XeqQP46SP38C' | |
| access_token = '4266439228-U0ySetwuTNEtz3ZGdyPWKVrfIGKY866EMIrzNbN' | |
| access_token_secret = 'CVynCeCX22NtK8iygTHGWjota2JhGTfPgk2CO1MUnPfBK' | |
| auth = tweepy.OAuthHandler(consumer_key, consumer_secret) | |
| auth.set_access_token(access_token, access_token_secret) | |
| api = tweepy.API(auth,wait_on_rate_limit=True,timeout=1000) | |
| personality = {} | |
| for idx,tweet in enumerate(tweepy.Cursor(api.search,q="#YourPersonalityIn3Words",count=100, | |
| lang="en", | |
| since="2017-04-03").items()): | |
| personality[idx]=[tweet.created_at, tweet.text.encode('utf-8'),tweet.author.screen_name] | |
| persons = pd.DataFrame(personality).transpose() | |
| persons.to_csv('persons.csv',index=False) | |
| past_tweets = {} | |
| all_names = persons.loc[:,2] | |
| chunks = int(np.floor(len(all_names)/500))-1 | |
| chunk_size=500 | |
| idx = 0 | |
| for i in range(chunks): | |
| some_names = all_names.loc[i*chunk_size:(i+1)*500-1,] | |
| for name in tqdm(some_names): | |
| status_cursor = tweepy.Cursor(api.user_timeline, screen_name=name, count=200,tweet_mode='extended') | |
| status_list = status_cursor.iterator.next() | |
| for each_tweet in range(len(status_list)): | |
| text=status_list[each_tweet]._json['full_text'] | |
| past_tweets[idx]=[name,text] | |
| idx += 1 | |
| time.sleep(900) | |
| all_history = pd.DataFrame(past_tweets).transpose() | |
| all_history.to_pickle('all.pkl') | |
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