我目前正在制作一个Twitter刮刀,我希望得到所有带有多个主题标签的推文。问题是我每次尝试传递第一个#标签时都会收到429个错误。我试过睡觉这个功能,但是每当第二个标签出现时,它都无法正常工作。
import tweepy
import time
import json
from collections import defaultdict as dd
f = open("tokens.txt", 'r')
consumer_key = f.readline().strip()
consumer_secret = f.readline().strip()
app_key = f.readline().strip()
app_secret = f.readline().strip()
auth =tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(app_key,app_secret)
api = tweepy.API(auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
usercount = dd(int)
userfollowers = dd(int)
mostretweets = dd(int)
mostfav = dd(int)
hashtag = ['#csforall','#equality']
for i in hashtag :
for status in tweepy.Cursor(api.search, q=i,since="2017-02-25",until="2017-02-28",lang="en").items():
parsed = status._json
usercount[parsed['user']['name'].encode("utf-8")]+=1
userfollowers[parsed['user']['name'].encode("utf-8")]= parsed['user']['followers_count']
mostretweets[parsed['text'].encode('utf-8')] = parsed['retweet_count']
mostfav[parsed['text'].encode('utf-8')] = parsed['favorite_count']
time.sleep(2)
sortcount = sorted(usercount.items(), key=lambda x: x[1], reverse =True)
top = sortcount[:1]
frequser=[]
for i in sortcount:
if i[1] == top:
frequser.append(i)
else:
break
print ("Top most frequent user: \n " + str(i[0])) +"\n"
followcount = sorted(userfollowers.items(), key=lambda x: x[1], reverse =True)
fol = followcount[:1]
freqfollow = []
for j in followcount:
if j[1] == fol:
freqfollow.append(i)
else:
break
print ("User with most followers: \n " + str(j[1]))
retweetcount = sorted(mostretweets.items(), key=lambda x: x[1], reverse = True)
ret = retweetcount[:1]
freqretweet =[]
for i in retweetcount:
if i[1] == ret:
freqretweet == ret
else:
break
print str(i[0])+"\n"
favcount = sorted(mostfav.items(), key=lambda x: x[1], reverse = True)
ret = favcount[:1]
freqfav =[]
for i in favcount:
if i[1] == ret:
freqfav == ret
else:
break
print str(i[0])+"\n"
答案 0 :(得分:0)
放这个:
for i in hashtag:
time.sleep(2)
for status in tweepy.Cursor(api.search, q=i,since="2017-02-25",until="2017-02-28",lang="en").items():
工作?