PYTHON

twitter api v2 python tweepy

#Twitter API v2 authentication using Tweepy for Essential access endpoints in Python
import tweepy
client = tweepy.Client(bearer_token = 'brearer_token_here', 
                           consumer_key = 'consumer_key_here',
                           consumer_secret = 'consumer_secret_here',
                           access_token = 'access_token_here',
                           access_token_secret = 'access_token_secret_here')
#Search 10 tweets that contain the word "grepper"
tweets = client.search_recent_tweets(query="grepper", max_results = 10)
#Use which ever method you want to extract the searched tweet data.
searched_tweet_data = tweets.data

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)

access twitter api using tweepy in python

import tweepy
consumer_key= 'your consumer_key'
consumer_secret= 'your consumer_key_secret'
access_token= 'your access_token'
access_token_secret= 'your access_token_secret'
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token,access_token_secret)
api = tweepy.API(auth)
#From here, you can tweet, search tweets, search keywords, etc.

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)