[Get Tweet Replies] Get Tweet Replies with Twitter API #twitter #python #tweepy

get_tweet_replies.py

# Author: Qiushi Pan (@qqhann)
# This is a code snippet with sample usage, to get replies to a specific tweet.
# =====

import tweepy
import time
import os
from collections import defaultdict
from dotenv import load_dotenv, find_dotenv
env = load_dotenv(find_dotenv(), override=True)

# Save your tokens in .env file
con_key = os.getenv('TWITTER_API_KEY')
con_sec = os.getenv('TWITTER_API_SECRET_KEY')
acc_tok = os.getenv('TWITTER_ACCESS_TOKEN')
acc_sec = os.getenv('TWITTER_ACCESS_TOKEN_SECRET')


# Initialize tweepy
auth = tweepy.OAuthHandler(con_key, con_sec)
auth.set_access_token(acc_tok, acc_sec)

api = tweepy.API(auth)


# Sample teets. 
# Tweet 1 (refer as T1)
# https://twitter.com/bozu_108/status/1090475718335578112
# Tweet 2 (refer as T2)
# https://twitter.com/bozu_108/status/1090501639625072640
# In this sample, we try to get replies to T1,
# since T1 until T2.


# Preparation
TARGET_TWEET_ID = 1090475718335578112  # T1
oldest_id = 1090501639625072640  # T2
search_term = '@bozu_108'  # Target tweet's user name
no_match, not_reply, match = 'No Match', 'Not Reply', 'Match'
counts = {no_match: 0, not_reply: 0, match: 0}
matched_texts = defaultdict(int)


# Repeat the api multiple times to try to get all replies
# You may want to change the repetition times, or stop it mannualy (if using jupyter notebook)
for i in range(1000):
    print('loop', i, counts)
    time.sleep(5)  # API Limit: 180req / 15min(900sec)
    result_tweets = api.search(search_term, count=100, since_id=TARGET_TWEET_ID, max_id=oldest_id)

    for tweet in result_tweets:
      	# Reflesh oldest_id
        oldest_id = min(tweet.id, oldest_id)
        if tweet.in_reply_to_status_id == TARGET_TWEET_ID:
            counts[match] += 1
            matched_texts[tweet.text] += 1
        elif tweet.in_reply_to_status_id is None:
            counts[not_reply] += 1
        else:
            counts[no_match] += 1


# Show results
for text, count in sorted(matched_texts.items(), key=lambda x: x[1], reverse=True):
    print('{:>4}\t{}'.format(count, text))
  
# sample results output (top 5) =>
#   8	@bozu_108 じゃんけん
#   7	@bozu_108 スペランカー
#   6	@bozu_108 MOTHERシリーズ
#   6	@bozu_108 Vainglory
#   5	@bozu_108 学園ハンサム