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提取推文的日期和时间 tweepy Python

[英]Extract date and time of a tweet tweepy Python

I have found a python script for extracting tweets and store to csv file.我找到了一个用于提取推文并存储到 csv 文件的 python 脚本。 I am not familiar with python yet.我还不熟悉 python。 Except the tweets, I need also to extract the date and the time of each tweet.除了推文,我还需要提取每条推文的日期和时间。 I have found how to extract other characteristics, such as "retweeted", "retweet_count", but I am still stuck in date and time.我已经找到了如何提取其他特征,例如“转推”、“retweet_count”,但我仍然停留在日期和时间上。 The script is here:脚本在这里:

#!/usr/bin/env python
# encoding: utf-8

import tweepy #https://github.com/tweepy/tweepy
import csv

#Twitter API credentials
consumer_key = "..........................."
consumer_secret = "..........................."
access_key = "..........................."
access_secret = "..........................."
screename = "@realDonaldTrump"


def get_all_tweets(screen_name):
    #Twitter only allows access to a users most recent 3240 tweets with this method

    #authorize twitter, initialize tweepy
    auth = tweepy.OAuthHandler(consumer_key, consumer_secret )
    auth.set_access_token(access_key, access_secret)
    api = tweepy.API(auth)

    #initialize a list to hold all the tweepy Tweets
    alltweets = []  

    #make initial request for most recent tweets (200 is the maximum allowed count)
    new_tweets = api.user_timeline(screen_name = screename ,count=200)

    screen_name = "Donald J. Trump"
    #save most recent tweets
    alltweets.extend(new_tweets)

    #save the id of the oldest tweet less one
    oldest = alltweets[-1].id - 1

    #keep grabbing tweets until there are no tweets left to grab
    while len(new_tweets) > 0:
        print "getting tweets before %s" % (oldest)

        #all subsiquent requests use the max_id param to prevent duplicates
        new_tweets = api.user_timeline(screen_name = screename,count=200,max_id=oldest)

        #save most recent tweets
        alltweets.extend(new_tweets)

        #update the id of the oldest tweet less one
        oldest = alltweets[-1].id - 1

        print "...%s tweets downloaded so far" % (len(alltweets))

    #transform the tweepy tweets into a 2D array that will populate the csv 
    outtweets = [[tweet.id_str, tweet.created_at, tweet.text.encode("utf-8"), tweet.favorite_count, tweet.retweet_count, tweet.favorited, tweet.retweeted] for tweet in alltweets]

    #write the csv  
    with open('%s_tweets.csv' % screen_name , 'wb') as f:
        writer = csv.writer(f)
        writer.writerow(["id","created_at","text","favorite_count","retweet_count","favorited","retweeted"])
        writer.writerows(outtweets)

    pass


if __name__ == '__main__':
    #pass in the username of the account you want to download
    get_all_tweets(screename)

The tweepy tweet model has created_at : tweepy 推文 model 已created_at

created_at
    Creation time of the Tweet.

Type
    datetime.datetime | None

Interesting fact is that you can derive the time from the tweet id.有趣的是,您可以从推文 ID 中得出时间。 Tweet IDs are k-sorted within a second bound.推文 ID 在第二个界限内进行 k 排序。 We can extract the timestamp for a tweet ID by right shifting the tweet ID by 22 bits and adding the Twitter epoch time of 1288834974657.我们可以通过将推文 ID 右移 22 位并添加 Twitter 纪元时间 1288834974657 来提取推文 ID 的时间戳。

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