mirror of
https://github.com/hastagAB/Awesome-Python-Scripts.git
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225 lines
6.3 KiB
Python
225 lines
6.3 KiB
Python
try:
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import http.cookiejar as cookielib
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except ImportError:
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import cookielib
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import urllib, json, re, datetime, sys
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import pandas as pd
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import numpy as np
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from pyquery import PyQuery
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class TweetCriteria:
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def __init__(self):
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self.maxTweets = 0
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def setUsername(self, username):
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self.username = username
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return self
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def setSince(self, since):
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self.since = since
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return self
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def setUntil(self, until):
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self.until = until
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return self
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def setQuerySearch(self, querySearch):
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self.querySearch = querySearch
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return self
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def setMaxTweets(self, maxTweets):
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self.maxTweets = maxTweets
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return self
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def setLang(self, Lang):
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self.lang = Lang
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return self
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def setTopTweets(self, topTweets):
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self.topTweets = topTweets
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return self
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class Tweet:
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def __init__(self):
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pass
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class TweetManager:
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def __init__(self):
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pass
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@staticmethod
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def getTweets(tweetCriteria,
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receiveBuffer=None,
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bufferLength=100,
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proxy=None):
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"""Return the list of tweets retrieved by using an instance of TwitterCriteria"""
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refreshCursor = ''
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results = []
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resultsAux = []
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cookieJar = cookielib.CookieJar()
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if hasattr(
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tweetCriteria,
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'username') and (tweetCriteria.username.startswith("\'")
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or tweetCriteria.username.startswith("\"")) and (
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tweetCriteria.username.endswith("\'")
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or tweetCriteria.username.endswith("\"")):
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tweetCriteria.username = tweetCriteria.username[1:-1]
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active = True
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while active:
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json = TweetManager.getJsonReponse(tweetCriteria, refreshCursor,
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cookieJar, proxy)
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if len(json['items_html'].strip()) == 0:
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break
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refreshCursor = json['min_position']
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scrapedTweets = PyQuery(json['items_html'])
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#Remove incomplete tweets withheld by Twitter Guidelines
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scrapedTweets.remove('div.withheld-tweet')
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tweets = scrapedTweets('div.js-stream-tweet')
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if len(tweets) == 0:
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break
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for tweetHTML in tweets:
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tweetPQ = PyQuery(tweetHTML)
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tweet = Tweet()
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usernameTweet = tweetPQ("span:first.username.u-dir b").text()
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txt = re.sub(r"\s+", " ",
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tweetPQ("p.js-tweet-text").text().replace(
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'# ', '#').replace('@ ', '@'))
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retweets = int(
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tweetPQ(
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"span.ProfileTweet-action--retweet span.ProfileTweet-actionCount"
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).attr("data-tweet-stat-count").replace(",", ""))
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favorites = int(
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tweetPQ(
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"span.ProfileTweet-action--favorite span.ProfileTweet-actionCount"
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).attr("data-tweet-stat-count").replace(",", ""))
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dateSec = int(
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tweetPQ("small.time span.js-short-timestamp").attr(
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"data-time"))
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id = tweetPQ.attr("data-tweet-id")
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permalink = tweetPQ.attr("data-permalink-path")
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geo = ''
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geoSpan = tweetPQ('span.Tweet-geo')
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if len(geoSpan) > 0:
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geo = geoSpan.attr('title')
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tweet.id = id
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tweet.permalink = 'https://twitter.com' + permalink
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tweet.username = usernameTweet
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tweet.text = txt
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tweet.date = datetime.datetime.fromtimestamp(dateSec)
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tweet.retweets = retweets
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tweet.favorites = favorites
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tweet.mentions = " ".join(
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re.compile('(@\\w*)').findall(tweet.text))
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tweet.hashtags = " ".join(
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re.compile('(#\\w*)').findall(tweet.text))
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tweet.geo = geo
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results.append(tweet)
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resultsAux.append(tweet)
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if receiveBuffer and len(resultsAux) >= bufferLength:
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receiveBuffer(resultsAux)
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resultsAux = []
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if tweetCriteria.maxTweets > 0 and len(
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results) >= tweetCriteria.maxTweets:
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active = False
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break
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if receiveBuffer and len(resultsAux) > 0:
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receiveBuffer(resultsAux)
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return results
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@staticmethod
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def getJsonReponse(tweetCriteria, refreshCursor, cookieJar, proxy):
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"""Actually obtains the tweets and returns an object that can be read"""
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url = "https://twitter.com/i/search/timeline?f=tweets&q=%s&src=typd&max_position=%s"
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urlGetData = ''
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if hasattr(tweetCriteria, 'username'):
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urlGetData += ' from:' + tweetCriteria.username
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if hasattr(tweetCriteria, 'querySearch'):
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urlGetData += ' ' + tweetCriteria.querySearch
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if hasattr(tweetCriteria, 'near'):
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urlGetData += "&near:" + tweetCriteria.near + " within:" + tweetCriteria.within
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if hasattr(tweetCriteria, 'since'):
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urlGetData += ' since:' + tweetCriteria.since
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if hasattr(tweetCriteria, 'until'):
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urlGetData += ' until:' + tweetCriteria.until
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if hasattr(tweetCriteria, 'topTweets'):
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if tweetCriteria.topTweets:
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url = "https://twitter.com/i/search/timeline?q=%s&src=typd&max_position=%s"
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url = url % (urllib.parse.quote(urlGetData), refreshCursor)
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headers = [('Host', "twitter.com"),
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('User-Agent', "Mozilla/5.0 (Windows NT 6.1; Win64; x64)"),
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('Accept',
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"application/json, text/javascript, */*; q=0.01"),
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('Accept-Language', "de,en-US;q=0.7,en;q=0.3"),
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('X-Requested-With',
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"XMLHttpRequest"), ('Referer', url), ('Connection',
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"keep-alive")]
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if proxy:
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opener = urllib.request.build_opener(
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urllib.request.ProxyHandler({
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'http': proxy,
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'https': proxy
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}), urllib.HTTPCookieProcessor(cookieJar))
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else:
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opener = urllib.request.build_opener(
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urllib.request.HTTPCookieProcessor(cookieJar))
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opener.addheaders = headers
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try:
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response = opener.open(url)
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jsonResponse = response.read()
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except:
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print(
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"Twitter weird response. Try to see on browser: https://twitter.com/search?q=%s&src=typd"
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% urllib.parse.quote(urlGetData))
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sys.exit()
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return
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dataJson = json.loads(jsonResponse)
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return dataJson
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class TweetObtain:
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def __init__(self):
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pass
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def TweetObtain_function(self,videogame):
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"""Returns a clean dataframe for analysis using TweetCriteria and TweetManager"""
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print(videogame)
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tweet_date = []
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tweet_text = []
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tweetCriteria = TweetCriteria().setQuerySearch(videogame[0]). \
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setSince(videogame[1]).setUntil(videogame[2]).setMaxTweets(1000)
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tweets = TweetManager().getTweets(tweetCriteria)
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for tweet in tweets:
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tweet_date.append(tweet.date)
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tweet_text.append(tweet.text)
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df = pd.DataFrame(np.column_stack((tweet_date, tweet_text)))
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df['name'] = videogame[0]
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df['start_date'] = videogame[1]
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df['end_date'] = videogame[2]
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return df
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