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Programming Python

How to get data from twitter using Tweepy in Python?

To start working on Python you need to have Python installed on your PC. If you haven’t installed python. Go to the Python website and get it installed.

After installing Python set up your twitter account if you don’t have one already. Next, go to Developer Page and apply for the Developer Access, then fill the form and accept the developer agreement.

You can create the developer account according to your area of interest. I have created using Student.

After Submission, you’ll receive an email for a confirmation.

Confirmation Email

After confirming the email. Your account will be in a review phase and you’ll receive an email of approval after the review.

Note:

Approval time may vary from one to another.

Once Your Application gets accepted. Create an App to access the tweets.

After, creating the App Successfully go to Keys and Tokens in your app to access the keys.

Access Twitter API in Python

Install Tweepy by using the following command if you haven’t installed it already.

pip install tweepy

Once you have installed Tweepy. Import the relevant libraries to your Python file.

import csv import tweepy as tw import time

To access the data of tweets you need to have 4 keys from the Twitter app page. You can get the keys from the Key Access Token Tab and define them in your python file as below.

consumer_key= 'your_consumer_key' consumer_secret= 'your_consumer_secret' access_token= 'your_access_token' access_token_secret= 'your_access_token_secret' auth = tw.OAuthHandler(consumer_key, consumer_secret) auth.set_access_token(access_token, access_token_secret) api = tw.API(auth, wait_on_rate_limit=True)

Append the twitter data to an existing file by using the method open(file, mode) as shown below :

Parameter mode values

"r"Β – Read – Default value. Opens a file for reading, error if the file does not exist

"a"Β – Append – Opens a file for appending, creates the file if it does not exist

"w"Β – Write – Opens a file for writing, creates the file if it does not exist

"x"Β – Create – Creates the specified file, returns an error if the file exists

csvFile = open('Filename.csv', 'a') csvWriter = csv.writer(csvFile)

Next, you need to implement Tweepy cursor to fetch the tweets via a for loop to fetch 1000 tweets.

  • ID
  • User Name
  • Text
  • Created at
  • User Location
search_terms ='*' # IF YOU WANT TO USE MULTIPLE KEYWORDS THEN USE OR IN BETWEEN AS : search_terms = 'bishrulhaq OR BH' count= 0 for tweet in tw.Cursor(api.search, q=search_terms, since='2020-05-01', until='2020-05-10', count=5000, result_type='recent', include_entities=True, monitor_rate_limit=True, wait_on_rate_limit=True, lang="en").items(): try: count = count + 1 print ("No of Tweet: %d" %count) csvWriter.writerow([tweet.id, tweet.user.screen_name.encode('utf8'), tweet.text.encode('utf-8'), tweet.user.location.encode('utf8')]) # change the count values as the number of tweets you need to fetch if count == 10000: break except IOError: time.sleep(60) continue print ("Total Tweets Fetched %d" %count) csvFile.close()

Finally, the code will look like this,

import csv import tweepy as tw import time # BH | Bishrul Haq consumer_key= 'your_consumer_key' consumer_secret= 'your_consumer_secret' access_token= 'your_access_token' access_token_secret= 'your_access_token_secret' auth = tw.OAuthHandler(consumer_key, consumer_secret) auth.set_access_token(access_token, access_token_secret) api = tw.API(auth, wait_on_rate_limit=True) csvFile = open('extracted_tweets.csv', 'a') csvWriter = csv.writer(csvFile) search_terms ='*' # IF YOU WANT TO USE MULTIPLE KEYWORDS THEN USE OR IN BETWEEN AS : search_terms = 'bishrulhaq OR BH' count= 0 for tweet in tw.Cursor(api.search, q=search_terms, since='2020-05-01', until='2020-05-10', count=5000, result_type='recent', include_entities=True, monitor_rate_limit=True, wait_on_rate_limit=True, lang="en").items(): try: count = count + 1 print ("No of Tweet: %d" %count) csvWriter.writerow([tweet.id, tweet.user.screen_name.encode('utf8'), tweet.text.encode('utf-8'), tweet.user.location.encode('utf8')]) # change the count values as the number of tweets you need to fetch if count == 10000: break except IOError: time.sleep(60) continue print ("Total Tweets Fetched %d" %count) csvFile.close()

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