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feat: dump the tweets from given username for data analysis
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X_Scrapper/README.md
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X_Scrapper/README.md
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# X Scrapper
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Use to scrape the tweets from given username (including the metadata of the tweet - location of user, views, likes etc.) using `tweepy`.
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## Use case
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1. To analyze the (sentiment trend of the given user)[https://github.com/iamshreeram/twitter-senti-analyzer] over the period of time (on given topic or anything)
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2. Further analysis of user behaviour using geo-location, time of tweets,
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### Requirements
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Python 3.xx
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tweepy
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```bash
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pip install tweepy
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```
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### Usage
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python main.py <twitter_username>
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### Note :
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1. This requires you to have the consumer key, consumer secret, access key and access secret from your x.com account
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X_Scrapper/requirements.txt
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X_Scrapper/requirements.txt
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tweepy[async]
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X_Scrapper/x_scraper.py
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X_Scrapper/x_scraper.py
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#!/usr/bin/env python
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# encoding: utf-8
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import sys
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try:
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import tweepy #https://github.com/tweepy/tweepy
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except ImportError:
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print("You'll need tweepy instaled on your system.")
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sys.exit()
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try:
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import csv
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except ImportError:
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print("You'll need the python csv module instaled on your system.")
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sys.exit()
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consumer_key = "xxx"
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consumer_secret = "yyy"
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access_key = "aa-zzzz"
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access_secret = "bbb"
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def get_all_tweets(screen_name):
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if (consumer_key == ""):
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print("You need to set up the script first. Edit it and add your keys.")
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return
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#Twitter only allows access to a users most recent 3240 tweets with this method
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#authorize x, initialize tweepy
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auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
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auth.set_access_token(access_key, access_secret)
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api = tweepy.API(auth)
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#initialize a list to hold all the tweepy Tweets
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alltweets = []
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#make initial request for most recent tweets (200 is the maximum allowed count)
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new_tweets = api.user_timeline(screen_name = screen_name,count=200)
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#save most recent tweets
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alltweets.extend(new_tweets)
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#save the id of the oldest tweet less one
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oldest = alltweets[-1].id - 1
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#keep grabbing tweets until there are no tweets left to grab
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while len(new_tweets) > 0:
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print("getting tweets before %s" % (oldest))
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#all subsiquent requests use the max_id param to prevent duplicates
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new_tweets = api.user_timeline(screen_name = screen_name,count=200,max_id=oldest)
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#save most recent tweets
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alltweets.extend(new_tweets)
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#update the id of the oldest tweet less one
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oldest = alltweets[-1].id - 1
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print("...%s tweets downloaded so far" % (len(alltweets)))
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#transform the tweepy tweets into a 2D array that will populate the csv
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outtweets = [[tweet.id_str, tweet.created_at, tweet.text] for tweet in alltweets]
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#write the csv
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with open('%s_tweets.csv' % screen_name, 'w') as f:
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writer = csv.writer(f)
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writer.writerow(["id","created_at","text"])
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writer.writerows(outtweets)
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pass
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if __name__ == '__main__':
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if (len(sys.argv) == 2):
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get_all_tweets(sys.argv[1])
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else:
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print("Please add the x account you want to back up as an argument.")
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