作業來源:https://edu.cnblogs.com/campus/gzcc/GZCC-16SE1/homework/3002
0.從新聞url擷取點選次數,并整理成函數
- newsUrl
- newsId(re.search())
- clickUrl(str.format())
- requests.get(clickUrl)
- re.search()/.split()
- str.lstrip(),str.rstrip()
- int
- 整理成函數
-
# 點選次數 def clickCount(url): # clickNum=re.findall('/(\d*).html',url)[0] clickNum = list(re.search('/(\d*).html', url).groups(1))[0] clickurl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(clickNum) count = html(clickurl).text.split()[0].split('html')[-1] ss = "()';" for i in ss: count = count.replace(i, '') co = int(count) return co
- 擷取新聞釋出時間及類型轉換也整理成函數
-
# 時間 def time(url): time1 = html(url).select('div .show-info')[0].text.split()[0].split(':')[1] time2 = html(url).select('div .show-info')[0].text.split()[1] Time = time1 + ' ' + time2 now1 = datetime.strptime(Time, '%Y-%m-%d %H:%M:%S') newstime = datetime.strftime(now1, '%Y{y}-%m{m}-%d{d} %H{H}:%M{M}:%S{S}').format(y='年', m='月', d='日', H='時', M='分',S='秒') return newstime
1.從新聞url擷取新聞詳情: 字典,anews
# 新聞字典
def newsdist(url):
newsdis = {}
newsdis['newstitle'] = title(url)
newsdis['newstime'] = time(url)
newsdis['newsfrom'] = froms(url)
newsdis['newswrite'] = write(url)
newsdis['newsclick'] = clickCount(url)
# newsdis['newscont']=cont(url)
return newsdis
2.從清單頁的url擷取新聞url:清單append(字典) alist
# 每一頁新聞連結清單
def alist(url):
nets = html(url).select('div .list-container li')
k = 0
newslist = []
for i in nets:
# 每一條新聞url
net = i.find('a').get('href')
# 每一條新聞描述
description = html(url).select('div .news-list-description')[k].text
k = k + 1
newsdis = newsdist(net)
newsdis['newurl'] = net
newsdis['newdscription'] = description
newslist.append(newsdis)
return newslist
3.生成所頁清單頁的url并擷取全部新聞 :清單extend(清單) allnews
for i in range(43, 45):
if i == 1:
url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
else:
url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
allnews = alist(url)
# 清單疊加
allnews.extend(alist(url))
*每個同學爬學号尾數開始的10個清單頁
4.設定合理的爬取間隔
import time
import random
time.sleep(random.random()*3)
5.用pandas做簡單的資料處理并儲存
儲存到csv或excel檔案
newsdf.to_csv(r'F:\duym\爬蟲\gzccnews.csv')
newsdf = pd.DataFrame(allnews)
print(newsdf)
newsdf.to_csv(r'F:\xinwen.csv')
全部代碼:
import requests
import bs4
from bs4 import BeautifulSoup as bs
from datetime import datetime
import re
import pandas as pd
def html(url):
response = requests.get(url=url)
response.encoding = 'utf-8'
soup = bs(response.text, 'html.parser')
return soup
# 點選次數
def clickCount(url):
# clickNum=re.findall('/(\d*).html',url)[0]
clickNum = list(re.search('/(\d*).html', url).groups(1))[0]
clickurl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(clickNum)
count = html(clickurl).text.split()[0].split('html')[-1]
ss = "()';"
for i in ss:
count = count.replace(i, '')
co = int(count)
return co
# 标題
def title(url):
title = html(url).select('div .show-title')[0].text
return title
# 時間
def time(url):
time1 = html(url).select('div .show-info')[0].text.split()[0].split(':')[1]
time2 = html(url).select('div .show-info')[0].text.split()[1]
Time = time1 + ' ' + time2
now1 = datetime.strptime(Time, '%Y-%m-%d %H:%M:%S')
newstime = datetime.strftime(now1, '%Y{y}-%m{m}-%d{d} %H{H}:%M{M}:%S{S}').format(y='年', m='月', d='日', H='時', M='分',S='秒')
return newstime
# 釋出機關
def froms(url):
comFrom = html(url).select('div .show-info')[0].text.split()[4].split(':')[1]
return comFrom
# 作者
def write(url):
write = html(url).select('div .show-info')[0].text.split()[2].split(':')[1]
return write
# 内容
def cont(url):
cont = html(url).select('div .show-content')[0].text
ss = "\n\u3000\r\xa0"
for i in ss:
cont = cont.replace(i, '')
return cont
# 新聞字典
def newsdist(url):
newsdis = {}
newsdis['newstitle'] = title(url)
newsdis['newstime'] = time(url)
newsdis['newsfrom'] = froms(url)
newsdis['newswrite'] = write(url)
newsdis['newsclick'] = clickCount(url)
# newsdis['newscont']=cont(url)
return newsdis
# 每一頁新聞連結清單
def alist(url):
nets = html(url).select('div .list-container li')
k = 0
newslist = []
for i in nets:
# 每一條新聞url
net = i.find('a').get('href')
# 每一條新聞描述
description = html(url).select('div .news-list-description')[k].text
k = k + 1
newsdis = newsdist(net)
newsdis['newurl'] = net
newsdis['newdscription'] = description
newslist.append(newsdis)
return newslist
for i in range(43, 45):
if i == 1:
url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
else:
url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
allnews = alist(url)
# 清單疊加
allnews.extend(alist(url))
newsdf = pd.DataFrame(allnews)
print(newsdf)
newsdf.to_csv(r'F:\xinwen.csv')
運作結果: