爬取全部的校园新闻

作业来源：https://edu.cnblogs.com/campus/gzcc/GZCC-16SE1/homework/3002

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

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')

from bs4 import BeautifulSoup
import requests
import re
import pandas as pd
from datetime import datetime

def htmlsurl():
    url = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
    htmlurls = []
    for i in range(20,30):
        htmlurls.append(url+str(i)+'.html')
    return htmlurls
def getclicktime(url):
    clickurl=('http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(re.findall('(\d+).html',url)[0]))
    clickhtml = requests.get(clickurl)
    clickhtml.encoding ='utf-8'
    return re.search("hits'[)].html[(]'(\d+)'[)]",clickhtml.text).groups(0)[0]

def getDt(FbSj):
    FbSj = ' '.join(FbSj)[5:]
    FbSj = datetime.strptime(FbSj,'%Y-%m-%d %H:%M:%S')
    return FbSj

def alist():
    newsList=[]
    htmlurls = htmlsurl()
    for url in htmlurls:
        html = requests.get(url)
        html.encoding = 'utf-8'
        soup = BeautifulSoup(html.text,'html.parser')
        for news in soup.select('li'):
            if len(news.select('.news-list-title'))>0:
                newsurl = news.select('a')[0]['href']
                newsDict = anews(newsurl)
                newsDict['newsUrl'] = newsurl
                newsDict['description'] = news.select('.news-list-description')[0].text
                newsList.append(newsDict)
    return newsList
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
    newsDetail['newsClick'] = getclicktime(url)
    FbSj = soup.select('.show-info')[0].text.split()[0:2]
    newsDetail['newsDate'] = getDt(FbSj)
    return newsDetail


text = pd.DataFrame(alist())
text.to_csv(r'E:\gzccnews.csv')