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A proof-of-concept sentence-oriented Twitter API client for Python, based on 'birdy'.
Readme
Larry Birdy
is based on 'birdy' and
is sentence-oriented (i.e. sprinkled with syntactic sugar).
Through an experimental (and fuzzy oop design) and proof-of-concept way,
you can make API calls with exprensiveness (and verbosity).
pip install larry-birdy
from larry.twitter import RestAPI, p
API = RestAPI(CONSUMER_KEY,
CONSUMER_SECRET,
ACCESS_TOKEN,
ACCESS_TOKEN_SECRET)
OWNER = API.verify_account_credentials(skip_status=True)
query = '#python #twitter -rt'
tweet_instances = API.search_tweets(q=query,
result_type='recent',
lang='en',
count=10,
tweet_mode='extended')
# You can write "sentences" like the following:
content_has_media = p.Does.this(status=tweet_instance).have_element('media')
# Does this [status] have (the) element ['media']?
hashtags_number = p.Find.for_element('hashtags').its_number_within(tweet_instance)
# Find, for (the) element ['hashtags'], its number within (this) [status].
mentions = p.Get.element('user_mentions').from_(tweet_instance)
# Get (the) element ['user_mentions'], from (this) [status].
user = tweet_instance.user
user_is_following_owner = p.Is.this(user).following(OWNER)
# Is this [user] following [OWNER]?
try:
API.retweet(tweet=tweet_instance, trim_user=True)
except Exception as error_message:
print(error_message)
FAQs
A proof-of-concept sentence-oriented Twitter API client for Python, based on 'birdy'.
We found that larry-birdy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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