Code for downloading data for @udl

GettinData.py

import tweepy
import json
consumer_key = "r8y13uUfAduFvj8X4dsEdAMWG"
consumer_secret = "gBAaLFgxTXXnLlnqAmPJKpD22Cg3L0I6tW9yy0kdY34pv8cEZO"
access_token = "1150328765597310976-Sww8Yua53EmGOnkr09cPkUylS1hSuO"
access_token_secret = "OIIurB22pKTax4FYbs9QNRuXTLFhasSLfqI0Zd4lkjkm4"

#Now it’s time to create our API object.

# Creating the authentication object
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
# Setting your access token and secret
auth.set_access_token(access_token, access_token_secret)
# Creating the API object while passing in auth information
api = tweepy.API(auth)

# The Twitter user who we want to get tweets from
name = "nytimes"
# Number of tweets to pull
tweetCount = 20

# Calling the user_timeline function with our parameters
#results = api.user_timeline(id=name, count=tweetCount)

result= []

#//OPTION 1 : WITH JSON ELEMENTS

#with open('tweet.json', 'a', encoding='utf8') as file:
# foreach through all tweets pulled
#    for tweet in results:
       # printing the text stored inside the tweet object
#       print (tweet.text)
#       result.append({
#            'text': tweet.text,
#            'author_name': tweet.user.screen_name
#        })
#       json.dump(tweet._json,file,sort_keys = True,indent = 4)

#The search term you want to find
query = "@EPS_UdL"
# Language code (follows ISO 639-1 standards)
#language = "en"

# Calling the user_timeline function with our parameters
results = api.search(q=query, count= 1000000)


# foreach through all tweets pulled
for tweet in results:
    # printing the text stored inside the tweet object
    print(tweet.text)
    result.append({
        'text': tweet.text,
        'author_name': tweet.user.screen_name,
        #'created': tweet.created_at,
        'location': tweet.user.location
    })
    
#//OPTION 2 : WITH LIST OF TWEETS result 
with open('tweet.json', 'w', encoding='utf8') as file:
    json.dump(result, file, sort_keys=True, indent=4)