📅  最后修改于: 2023-12-03 15:22:40.296000             🧑  作者: Mango
在本文中,我们将学习如何创建一个 Twitter Producer,用于从 Twitter 的 Streaming API 中获取 Tweets 并将其发送到 Kafka Topic 中。
在开始创建 Twitter Producer 之前,我们需要进行以下准备工作:
我们需要导入以下库:
import tweepy
from kafka import KafkaProducer
consumer_key = 'your_consumer_key'
consumer_secret = 'your_consumer_secret'
access_token = 'your_access_token'
access_secret = 'your_access_secret'
topic_name = 'twitter_topic'
producer = KafkaProducer(bootstrap_servers=['localhost:9092'], api_version=(0, 10))
class TwitterStreamListener(tweepy.StreamListener):
def on_status(self, status):
producer.send(topic_name, status.text.encode('utf-8'))
return True
def on_error(self, status_code):
if status_code == 420:
print('Error 420: Rate limited')
return False
else:
print(f'Error {status_code}')
return True
if __name__ == '__main__':
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_secret)
stream_listener = TwitterStreamListener()
stream = tweepy.Stream(auth=auth, listener=stream_listener)
stream.filter(track=['python'])
import tweepy
from kafka import KafkaProducer
consumer_key = 'your_consumer_key'
consumer_secret = 'your_consumer_secret'
access_token = 'your_access_token'
access_secret = 'your_access_secret'
topic_name = 'twitter_topic'
producer = KafkaProducer(bootstrap_servers=['localhost:9092'], api_version=(0, 10))
class TwitterStreamListener(tweepy.StreamListener):
def on_status(self, status):
producer.send(topic_name, status.text.encode('utf-8'))
return True
def on_error(self, status_code):
if status_code == 420:
print('Error 420: Rate limited')
return False
else:
print(f'Error {status_code}')
return True
if __name__ == '__main__':
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_secret)
stream_listener = TwitterStreamListener()
stream = tweepy.Stream(auth=auth, listener=stream_listener)
stream.filter(track=['python'])
通过本文,我们学习了如何创建 Twitter Producer,并使用 Tweepy 和 Kafka 将 Tweets 发送到 Kafka Topic 中。使用这些技术,我们可以收集 Twitter 数据并进行分析、可视化等各种操作。