一.要求
作业要求来自:https://edu.cnblogs.com/campus/gzcc/GZCC-16SE2/homework/2941
1.从新闻url获取新闻详情: 字典,anews
2.从列表页的url获取新闻url:列表append(字典) alist
3.生成所页列表页的url并获取全部新闻 :列表extend(列表) allnews
*每个同学爬学号尾数开始的10个列表页
4.设置合理的爬取间隔
import time
import random
time.sleep(random.random()*3)
5.用pandas做简单的数据处理并保存
保存到csv或excel文件
newsdf.to_csv(r'F:\duym\爬虫\gzccnews.csv')
保存到数据库
import sqlite3
with sqlite3.connect('gzccnewsdb.sqlite') as db:
newsdf.to_sql('gzccnewsdb',db)
二.详细内容

1 import requests
2 from bs4 import BeautifulSoup
3 from datetime import datetime
4 import re
5
6 def click(url):
7 id = re.findall('(\d{1,5})',url)[-1]
8 clickUrl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(id)
9 resClick = requests.get(clickUrl)
10 newsClick = int(resClick.text.split('.html')[-1].lstrip("('").rstrip("');"))
11 return newsClick
12
13 def newsdt(showinfo):
14 newsDate = showinfo.split()[0].split(':')[1]
15 newsTime = showinfo.split()[1]
16 newDT = newsDate+' '+newsTime
17 dt = datetime.strptime(newDT,'%Y-%m-%d %H:%M:%S')
18 return dt
19
20 def anews(url):
21 newsDetail = {}
22 res = requests.get(url)
23 res.encoding = 'utf-8'
24 soup = BeautifulSoup(res.text,'html.parser')
25 newsDetail['nenewsTitle'] = soup.select('.show-title')[0].text
26 showinfo = soup.select('.show-info')[0].text
27 newsDetail['newsDT'] = newsdt(showinfo)
28 newsDetail['newsClick'] = click(newsUrl)
29 return newsDetail
30
31 newsUrl = 'http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0404/11155.html'
32 anews(newsUrl)
33
34 res=requests.get('http://news.gzcc.cn/html/xiaoyuanxinwen')
35 res.encoding='utf-8'
36 soup = BeautifulSoup(res.text,'html.parser')
37
38 for news in soup.select('li'):
39 if len(news.select('.news-list-title'))>0:
40 newsUrl = news.select('a')[0]['href']
41 print(anews(newsUrl))
View Code
2.从列表页的url获取新闻url:列表append(字典) alist

import requests
from bs4 import BeautifulSoup
from datetime import datetime
import re
def click(url):
id = re.findall('(\d{1,5})',url)[-1]
clickUrl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.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]
newDT = newsDate+' '+newsTime
dt = datetime.strptime(newDT,'%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
newsUrl = 'http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0404/11155.html'
anews(newsUrl)
listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
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['description']=newsDesc
newsList.append(newsDict)
print(newsList)

import requests
from bs4 import BeautifulSoup
from datetime import datetime
import re
def click(url):
id = re.findall('(\d{1,5})',url)[-1]
clickUrl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.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]
newDT = newsDate+' '+newsTime
dt = datetime.strptime(newDT,'%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(url):
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['description']=newsDesc
newsList.append(newsDict)
return newsList
listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
alist(listUrl)
allnews=[]
for i in range(75,85):
listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
allnews.extend(alist(listUrl))
len(allnews)
print(allnews)

import requests
import pandas as pd
from bs4 import BeautifulSoup
from datetime import datetime
import re
import time
import random
def click(url):
id = re.findall('(\d{1,5})',url)[-1]
clickUrl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.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]
newDT = newsDate+' '+newsTime
dt = datetime.strptime(newDT,'%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(url):
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['description']=newsDesc
newsList.append(newsDict)
return newsList
newsUrl = 'http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0404/11155.html'
listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
alist(listUrl)
allnews=[]
for i in range(75,85):
listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
allnews.extend(alist(listUrl))
len(allnews)
pd.Series(anews)
newsdf=pd.DataFrame(allnews)
for i in range(5):
print(i)
time.sleep(random.random()*3)
print(newsdf)
newsdf.to_csv(r'C:\Users\DAB\0412.csv')
with sqlite3.connect('gzccnews.sqlite') as db:
newsdf.to_sql('gzccnews',db)

import requests
import pandas as pd
from bs4 import BeautifulSoup
from datetime import datetime
import re
import time
import random
import sqlite3
with sqlite3.connect('gzccnews.sqlite') as db:
newsdf.to_sql('gzccnews',db)
def click(url):
id = re.findall('(\d{1,5})',url)[-1]
clickUrl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.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]
newDT = newsDate+' '+newsTime
dt = datetime.strptime(newDT,'%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(url):
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['description']=newsDesc
newsList.append(newsDict)
return newsList
newsUrl = 'http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0404/11155.html'
listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
alist(listUrl)
allnews=[]
for i in range(75,85):
listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
allnews.extend(alist(listUrl))
len(allnews)
pd.Series(anews)
newsdf=pd.DataFrame(allnews)
for i in range(5):
print(i)
time.sleep(random.random()*3)
print(newsdf)
newsdf.to_csv(r'C:\Users\DAB\0412.csv')