爬取全部的校园新闻

最新推荐文章于 2025-09-13 23:06:41 发布

转载最新推荐文章于 2025-09-13 23:06:41 发布 · 75 阅读

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CC 4.0 BY-SA版权

原文链接：http://www.cnblogs.com/Tqin/p/10696701.html

文章标签：

#python #爬虫 #数据库

作业要求来自：https://edu.cnblogs.com/campus/gzcc/GZCC-16SE1/homework/3002

老师：MissDu 提交作业

0.从新闻url获取点击次数，并整理成函数

newsUrl
newsId(re.search())
clickUrl(str.format())
requests.get(clickUrl)
re.search()/.split()
str.lstrip(),str.rstrip()
int
整理成函数
获取新闻发布时间及类型转换也整理成函数

1.从新闻url获取新闻详情：字典,anews

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]
    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['newsTitli']=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/2005/xiaoyuanxinwen_0710/4.html'
anews=anews(newsurl)
anews

2.从列表页的url获取新闻url：列表append(字典) alist

def anews(url):
    newsdetail={}
    res=requests.get(url)
    res.encoding='utf-8'
    soup=BeautifulSoup(res.text,'html.parser')
    newsdetail['nenewsTitli']=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(listurl):
    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['newsurl']=newsurl
            newsDict['description']=newsDesc
            newslist.append(newsDict)
    return newslist

listurl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
alist(listurl)

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

listurl='http://news.gzcc.cn/html/xiaoyuanxinwen/'
allnews=alist(listurl)

for i in range(2,4):
    listurl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    allnews.extend(alist(listurl))
    
len(allnews)

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')

import pandas as pd
newsdf.to_csv
newsdf=pd.DataFrame(allnews)
newsdf.to_csv(r'F:\ok.csv')

保存到数据库

import sqlite3
with sqlite3.connect('gzccnewsdb.sqlite') as db:
newsdf.to_sql('gzccnewsdb',db)

转载于:https://www.cnblogs.com/Tqin/p/10696701.html