爬取全部的校園新聞

0.從新聞url獲取點選次數，並整理成函式

1.從新聞url獲取新聞詳情： 字典,anews

3.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

4.設定合理的爬取間隔

import time

import random

time.sleep(random.random()*3)

5.用pandas做簡單的資料處理並儲存

儲存到csv或excel檔案 

newsdf.to_csv(r'f:\duym\爬蟲\gzccnews.csv')

6.**示例

import re

from bs4 import beautifulsoup
from datetime import datetime
import requests
import pandas as pd
import time
import random
"""新聞點選次數"""
def newsclick(newsurl):
newsid = re.findall('(\d+)', newsurl)[-1]
clickurl = ''.format(newsid)
resclicks = requests.get(clickurl).text
resclick = int(re.search("hits'[)].html[(]'(\d*)'[)]", resclicks).groups(0)[0])
return resclick
"""新聞發布時間"""
def newsdatetime(showinfo):
newsdate = showinfo.split()[0].split(':')[1]
newstime = showinfo.split()[1]
newsdatetime = newsdate + ' ' + newstime
datetime = datetime.strptime(newsdatetime, '%y-%m-%d %h:%m:%s') #型別轉換
return datetime
"""新聞字典"""
def newsdicts(newsurl):
newstext = requests.get(newsurl)
newstext.encoding = 'utf-8'
newssoup = beautifulsoup(newstext.text, 'html.parser')
newsdict = {}
newsdict['newstitle'] = newssoup.select('.show-title')[0].text
showinfo = newssoup.select('.show-info')[0].text
newsdict['newsdatetime'] = newsdatetime(showinfo)
newsdict['newsclick'] = newsclick(newsurl)
return newsdict
"""新聞列表"""
def newslist(newsurl):
newstext = requests.get(newsurl)
newstext.encoding = 'utf-8'
newssoup = beautifulsoup(newstext.text, 'html.parser')
newslist = 
for news in newssoup.select('li'):
if len(news.select('.news-list-title')) > 0:
url = news.select('a')[0]['href']
newsdesc = news.select('.news-list-description')[0].text
newsdict = newsdicts(url)
newsdict['newsurl'] = url
newsdict['description'] = newsdesc
return newslist
"""27-37頁新聞列表"""
def allnews():
allnews = 
for i in range(34,44):
newsurl = ''.format(i)
allnews.extend(newslist(newsurl))
time.sleep(random.random() * 3) #爬取間隔
return allnews
newsdf = pd.dataframe(allnews())
newsdf.to_csv('gzccnews.csv') #儲存為csv檔案

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