标签：amp 开始 sqlite mat .text sqli app alt 文件
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)
import requests
from bs4 import BeautifulSoup
from datetime import datetime
import re
import sqlite3
import pandas as pd
import time
import pandas
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]
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[‘newsTitle‘]=soup.select(‘.show-title‘)[0].text
showinfo=soup.select(‘.show-info‘)[0].text
newsDetail[‘newsDT‘]=newsdt(showinfo)
newsDetail[‘newsClick‘]=click(url)
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‘]
newsDest=news.select(‘.news-list-description‘)[0].text
newsDict=anews(newsUrl)
newsDict[‘description‘]=newsDest
newsList.append(newsDict)
return newsList
#url= ‘http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0404/11155.html‘
#anews(url)
url = ‘http://news.gzcc.cn/html/xiaoyuanxinwen‘
res=requests.get(‘http://news.gzcc.cn/html/xiaoyuanxinwen‘)
res.encoding=‘utf-8‘
soup=BeautifulSoup(res.text,‘html.parser‘)
for news in soup.select(‘li‘):
if len(news.select(‘.news-list-title‘))>0:
newsUrl=news.select(‘a‘)[0][‘href‘]
allnews = []
for i in range(2,12):
listUrl=‘http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html‘.format(i)
allnews.extend(alist(listUrl))
pd.Series(allnews)#保存文件
newsdf=pd.DataFrame(allnews)
newsdf.sort_index(by=[‘newsClick‘],ascending=False)
newsdf.to_csv(r‘D:\lyj.csv‘)
with sqlite3.connect(‘gzccnewsdb.sqlite‘)as db:
df2=pandas.read_sql_query(‘SELECT * FROM gzccnewsdb‘,con=db)
df2[df2[‘newsClick‘]>350]
标签：amp 开始 sqlite mat .text sqli app alt 文件
原文地址：https://www.cnblogs.com/lamonein/p/10698793.html
