从用户时间轴获取推文时排除转发和回复-Tweepy

Question

我使用以下代码通过Tweepy从用户时间轴下载Tweets。但是，这还会返回Tweets，包括用户的Retweets和Replies。我只希望在用户自己的时间轴中发布推文。如何过滤此结果？

原因是我想收集化妆品公司发布的有关其产品的推文。他们时间轴上的推文给了我。但是，“回复和转发”看起来像是常规对话，不谈论产品。我想过滤掉这些。

import tweepy
import csv
import time

# Twitter API credentials
consumer_key = "xxxxxxx"
consumer_secret = "xxxxx"
access_key = "xxxxxxx"
access_secret = "xxxx"

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=screen_name, count=200)

    # 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=screen_name, count=200, max_id=oldest, include_entities=True)

        # 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))

    user = api.get_user(screen_name)
    followers_count = user.followers_count


    # 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"), 1 if 'media' in tweet.entities else 0,
                  1 if tweet.entities.get('hashtags') else 0, followers_count, tweet.retweet_count, tweet.favorite_count]
                 for tweet in alltweets]


    # write the csv
    with open('tweets.csv', mode='a', encoding='utf-8') as f:
        writer = csv.writer(f)
        #writer.writerow(["id", "created_at", "text", "hasMedia", "hasHashtag", "followers_count", "retweet_count", "favourite_count"])
        writer.writerows(outtweets)

    pass

def main():
    get_all_tweets("@MACcosmetics")


if __name__ == '__main__':
    main()

Answer 1

很遗憾，tweepy没有此功能：但是，您可以使用this

此方法

Answer 2

您可以将某些搜索参数发送给twitter来过滤响应。

Answer 3

我以这种方式做到了，并且有效：

tweepy.Cursor(api.user_timeline, 
                        screen_name=usuario, 
                        count=None,
                        since_id=None,
                        max_id=None,
                        trim_user=True,
                        exclude_replies=True,
                        contributor_details=False,
                        include_entities=False
                        ).items(200);