3200tweets

This script grabs recent 3200+ tweets for a chosen account (-s) using Twitter API and tweepy library (Python).

Files

• extractor.py - main script
• settings.py - file for credentials and list of accounts to grab
• realDonaldTrump_tweets.csv - output after executing extractor.py. A csv-file with tweets and some features from Donald J. Trump twitter account (grabed on May 24,2018).
• 3200tweets_example.ipynb - Jupyter Notebook with grabbed data in pandas.DataFrame() view

How to use the script?

1. Install tweepy

$pip install tweepy

2. Create Twitter Application here.

3. Go to the Keys and Access Tokens tab.

4. Open settings.py and

• Insert your credentials (in single quotes):

CONSUMER_KEY = 'Consumer Key (API Key)'`
CONSUMER_SECRET = 'Consumer Secret (API Secret)'`
ACCESS_TOKEN = 'Access Token'`
ACCESS_SECRET = 'Access Token Secret'

• Fill the ACCOUNTS list with the account (-s) you want to grab (without @ symbol). For example:

ACCOUNTS = ['realDonaldTrump', 'HillaryClinton', 'katyperry', 'jtimberlake']

5. Run the script:

$python extractor.py

6. Wait until you see the notification:

Finished!

Grabbed Data

After executing the script you will get csv-file (-s) which contains:

• account - account name (nickname)
• id - id of the tweet
• created_at - date when the tweet was published
• language - language of the tweet
• text - full text of the tweet
• likes - number of likes
• retweets - number of retweets
• hashtags - hashtag(-s) in the tweet
• mentions - account(-s) mentioned in the tweet
• urls - url(-s) in the tweet

You can customize which data to grab. Read about Tweet objects and modify extractor.py as you wish.

License

No license. Copy, modify and use without any restrictions.