问题
I'm trying to pull tweets from a user's timeline in real-time. I then want to do some analysis on those tweets. Having read the docs it looks like I will need to use tweepy.Stream for this use case. I've done the following:
stream.filter(follow='25073877')
But Twitter's filter API states the following:
- Tweets created by the user.
- Tweets which are retweeted by the user.
- Replies to any Tweet created by the user.
- Retweets of any Tweet created by the user.
- Manual replies, created without pressing a reply button (e.g. “@twitterapi I agree”).
It seems that this will return a huge volume of tweets that aren't relevant to my use case. Do I have to use this approach and then filter by screen name to get only tweets by the real user? This doesn't seem right at all.
The alternative seems to be the api.user_timeline class but that isn't a streaming API. Do I therefore use this API and hit it every second? I can't seem to find suitable examples of how best to accomplish my use case.
回答1:
Yes, you'll need to filter either by screen_name or maybe you can check if it's a retweet or not.
I wouldn't recommend the second approach since you'll be getting an even bigger amount of tweets since you'll have to filter out the tweets you already received in previous requests plus you may hit the API querying limits if you don't time ti properly.
That's the signature of the filter function:
def filter(self, follow=None, track=None, is_async=False, locations=None,
stall_warnings=False, languages=None, encoding='utf8', filter_level=None)
Which maps to this Twitter API request.
And here the explanation of the parameters.
来源：https://stackoverflow.com/questions/58488594/how-to-get-tweets-in-real-time-from-a-users-timeline-using-tweepy