gtdownloader 1.0.1

A Python package for the simple downloading of tweets with geographical information

GTdownloader

GTdownloader is a geographical tweets downloading tool that leverages the Twitter API

to retrieve tweets with geographical information and store them in easy access

formats like .csv and .shp.

Installation

pip

Use the package manager pip to install gtdownloader.

pip install gtdownloader

conda

Alternatively, install gtdownloader from the conda-forge channel by running the following command:

conda install -c conda-forge gtdownloader

Twitter keys

To set up your twitter keys file you need to have a developer account with access to the full-archive

search. If you plan to use this as part of academic research, you can apply for researcher

access to the API at Twitter Academic Research access.

After loging into your developer account, copy the consumer key, the consumer secret and the bearer token into a .yaml

file in the following way:

search_tweets_v2:

  endpoint:  https://api.twitter.com/2/tweets/search/all

  consumer_key: YOUR_CONSUMER_KEY

  consumer_secret: YOUR_CONSUMER_SECRET

  bearer_token:  YOUR_BEARER_TOKEN

Get started

from gtdownloader import TweetDownloader



# create downloader using Twitter API credentials

gtd = TweetDownloader(credentials='twitter_keys.yaml')



# get a batch of 400 tweets in english containing the word "tornado"

# between the dates 07/23/2022 and 07/29/2022

gtd.get_tweets('tornado', 

               lang='en', 

               max_tweets=400,

               start_time='07/23/2022', 

               end_time='07/29/2022'

               )



# accessing tweets data frame

gtd.tweets_df.head()

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

GitHub

License

MIT