PYTHON

twitter scraping python

Use a python library called twint this is a basic example and you can do alot more using their documentation


pip install twint

import twint
#configuration
config = twint.Config()
config.Search = "bitcoin"
config.Lang = "en"
config.Limit = 100
config.Since = "2019–04–29"
config.Until = "2020–04–29"
config.Store_json = True
config.Output = "custom_out.json"
#running search
twint.run.Search(config)

python code for twitter scraping using tweepy

# import the module
import tweepy
  
# assign the values accordingly
consumer_key = ""
consumer_secret = ""
access_token = ""
access_token_secret = ""
  
# authorization of consumer key and consumer secret
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
  
# set access to user's access key and access secret 
auth.set_access_token(access_token, access_token_secret)
  
# calling the api 
api = tweepy.API(auth)
  
# the ID of the user
id = 57741058
  
# fetching the user
user = api.get_user(id)
  
# fetching the description
description = user.description
  
print("The description of the user is : " + description)