爬取全部的校园新闻

最新推荐文章于 2025-08-21 23:21:52 发布

转载最新推荐文章于 2025-08-21 23:21:52 发布 · 98 阅读

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原文链接：http://www.cnblogs.com/lxcbk/p/10697536.html

文章标签：

#数据库 #python #php

本文详细介绍了使用Python进行网络爬虫的实际操作，通过BeautifulSoup和requests库，从广州城市职业学院网站抓取新闻列表及详情，包括标题、发布时间、点击数等信息，并将数据整理为DataFrame，最终保存为CSV文件和SQLite数据库。

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本次的作业要求来自：https://edu.cnblogs.com/campus/gzcc/GZCC-16SE2/homework/2941

爬取网页的URL是：http://news.gzcc.cn/html/2005/xiaoyuanxinwen_0710/2.html

源代码如下：

#!/usr/bin/env python
# _*_ coding:utf-8 _*
import pandas
import requests
from bs4 import BeautifulSoup
from datetime import datetime
import re
import pandas as pd
import sqlite3


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['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/2005/xiaoyuanxinwen_0710/2.html'
anews(newsUrl)
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']
         print(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)

alist(listUrl)
allnews=[]
for i in range(73,83):
    listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    allnews.extend(alist(listUrl))
len(allnews)

newsdf = pd.DataFrame(allnews)
newsdf.to_csv(r'D:\office\gzcc.csv')
with sqlite3.connect('gzccnewsdb.sqlite') as db:
    newsdf.to_sql('gzccnewsdb',db)