导入库:在Python代码中,需要导入相应的库来进行Web抓取操作。例如: 代码语言:txt 复制 import requests from bs4 import BeautifulSoup 发送请求:使用Requests库发送HTTP请求到Twitter页面,并获取页面的响应。可以使用get()方法发送GET请求,如下所示: 代码语言:txt 复制 url = "https://twitter.com/" response = re...
api = twitter.Api() trending_topics = api.GetTrendsCurrent() fortopicintrending_topics: print print_safe(topic.name) def user_tweets(username): """ Print recent tweetsby`username`. """ api = twitter.Api() user_tweets = api.GetUserTimeline(screen_name=username) fortweetinuser_tweets: pr...
# get the twitter access api twitter_api = twitter_login() # import twitter_text import twitter_text while 1: query = raw_input('\nInput the query (eg. #MentionSomeoneImportantForYou, exit to quit): ') if query == 'exit':
从Twitter API 2.0获取user.fields时出现问题 我想从twitterapi2.0端点加载tweets,并尝试获取标准字段(author,text,…)和一些扩展字段,尤其是user.fields。端点和参数的定义工作正常。在生成的json中,我只找到了标准字段,而没有找到所需的user.fields(username,metrics)。
{'Python', 'Statisitcs'},]deffetch_most_original_tweets(user):results = []for tweet in get_twitter_api().user_timeline(user.id, count=20):ifnot (tweet.retweeted or tweet.in_reply_to_status_id):tweet.score = score_tweet(tweet)results.append(tweet)return resultsdefinteract_with_user...
Today I am going to explore how to use the Twitter API with python. There exist a lot of wrappers that work well for accessing the twitter API, but I tend to feel like many of these wrappers act like a black box. In addition, the wrapper I was using previously was onlyuser authentica...
The result is decoded python objects (lists and dicts). The Twitter API is documented at: https://dev.twitter.com/overview/documentation Examples: from twitter import * t = Twitter( auth=OAuth(token, token_key, con_secret, con_secret_key)) # Get your "home" timeline t.statuses.home_...
Twitter API calls return decoded JSON. This is converted into a bunch of Python lists, dicts, ints, and strings. For example:: x = twitter.statuses.home_timeline() # The first 'tweet' in the timeline x[0] # The screen name of the user who wrote the first 'tweet' x[0]['user']...
importtimeimportpandasaspdtweets=[]defusername_tweets_to_csv(username,count):'''username: specific users you would like to search,count: number of tweets to be scraped.'''try:# Creation of query method using parameterstweets=tweepy.Cursor(api.user_timeline,id=username).items(count)# Pulling in...
https://cloud.google.com/bigquery/user-defined-functions 为了识别形容词,我们查找NL API返回的所有标记,其中ADJ作为它们的partOfSpeech标记。但我并不想要所有收集到的推文中的形容词,我们只想要希拉里或特朗普作为句子主语的推文中的形容词。NL API使使用NSUBJ((nominal subject)标签过滤符合此标准的推文变得很容易。