Daisi code for the Twitter Search Daisi

twitter_daisi_code.py

import tweepy
import pandas as pd
 
# Add Twitter API key and secret
consumer_key = "<redacted>"
consumer_secret = "<redacted>"
 
# Handling authentication with Twitter
auth = tweepy.AppAuthHandler(consumer_key, consumer_secret)
 
# Create a wrapper for the Twitter API
api = tweepy.API(auth)

def fetch_tweets(query: str, count: int=100):
    ...
    # Search for tweets using Tweepy
    search = limit_handled(tweepy.Cursor(api.search_tweets,
                           q=query,
                           tweet_mode='extended',
                           lang='en',
                           result_type="recent").items(count))

    # Process the results from the search using Tweepy
    tweets = []
    for result in search:
        tweets.append({"user": result.author.name, "text": result.full_text}) # Only saving the tweet content.

    # Convert to a dataframe
    df = pd.DataFrame(tweets)

    return df