Tweepy – Twitter Data Scraping in 2025

Note that to select Read and write in App permissions under User authentication settings.

client = tweepy.Client(
    bearer_token=BREARER,
    consumer_key=API_KEY,
    consumer_secret=API_KEY_SECRET,
    access_token=ACCESS_TOKEN,
    access_token_secret=ACCESS_TOKEN_SECRET,
    return_type = dict,
    wait_on_rate_limit = True
)
response = client.search_recent_tweets(
    "artifical intelligence OR machine learning lang:en",
    max_results = 10,
    tweet_fields = ['author_id','created_at','text']
)
client = tweepy.Client(
    bearer_token=BREARER,
    consumer_key=API_KEY,
    consumer_secret=API_KEY_SECRET,
    access_token=ACCESS_TOKEN,
    access_token_secret=ACCESS_TOKEN_SECRET,
    return_type = dict,
    wait_on_rate_limit = True
)

response = client.search_recent_tweets(
    "artifical intelligence OR machine learning lang:en",
    max_results = 10,
    tweet_fields = ['author_id','created_at','text']
)
client = tweepy.Client(
    bearer_token=BREARER,
    consumer_key=API_KEY,
    consumer_secret=API_KEY_SECRET,
    access_token=ACCESS_TOKEN,
    access_token_secret=ACCESS_TOKEN_SECRET,
    return_type = dict,
    wait_on_rate_limit = True
)

response = client.search_recent_tweets(
    "artifical intelligence OR machine learning lang:en",
    max_results = 10,
    tweet_fields = ['author_id','created_at','text']
)

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原文链接：Tweepy – Twitter Data Scraping in 2025