本次作業的要求來自於:
0.從新聞url獲取點選次數,並整理成函式
1.熟練運用re.search(),match(),findall()
2.從新聞url獲取新聞詳情: 字典,anews
import requests截圖:from bs4 import beautifulsoup
from datetime import datetime
import re
def click(url):
id=re.findall('(\d+)',url)[-1]
clickurl=''.format(id)
resclick=requests.get(clickurl)
newsclick=int(resclick.text.split(".html")[-1].lstrip("('").rstrip("');"))
return newsclick
def newsdt(showinfo):
newsdate=showinfo.split()[0].split(':')[1]
newstime=showinfo.split()[1]
newsdt=newsdate+' '+newstime
dt=datetime.strptime(newsdt,'%y-%m-%d %h:%m:%s')
return dt
def anews(url):
newsdetail={}
res=requests.get(url)
res.encoding='utf-8'
soup=beautifulsoup(res.text,'html.parser')
newsdetail['nenewstitle']=soup.select('.show-title')[0].text
showinfo=soup.select('.show-info')[0].text
newsdetail['newsdt']=newsdt(showinfo)
newsdetail['newsclick']=click(newsurl)
return newsdetail
def alist(listurl):
res=requests.get(listurl)
res.encoding='utf-8'
soup=beautifulsoup(res.text,'html.parser')
newslist=
for news in soup.select('li'):
if len(news.select('.news-list-title'))>0:
newsurl = news.select('a')[0]['href']
newsdesc = news.select('.news-list-description')[0].text
newsdict = anews(newsurl)
newsdict['newsurl'] = newsurl
newsdict['descricption'] = newsdesc
return newslist
listurl=''
alist(listurl)
4.生成所頁列表頁的url並獲取全部新聞 :列表extend(列表) allnews
*每個同學爬學號尾數開始的10個列表頁
res=requests.get('')截圖:爬取一頁;res.encoding='utf-8'
soup=beautifulsoup(res.text,'html.parser')
soup.select('#pages')[0].text
int(re.search('..(\d+).下',soup.select('#pages')[0].text).groups(1)[0])
listurl=''
allnews=alist(listurl)
for i in range(5,15):
listurl='{}.html'.format(i)
allnews.extend(alist(listurl))
爬取多頁;
5.設定合理的爬取間隔
import time
import random
time.sleep(random.random()*3)
import time6.用pandas做簡單的資料處理並儲存import random
for i in range(1,3):
print(i)
time.sleep(random.random()*3)#休眠隨機數的3倍時間
print(tennews)
儲存到csv或excel檔案
newsdf.to_csv(r'e:\gzcc.csv')
import pandas as pd截圖:圖為(5-15頁內容)newsdf = pd.dataframe(allnews)
newsdf.to_csv(r'e:\gzcc.csv')
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