爬取全部校园新闻

这个作业的要求来自于：https://edu.cnblogs.com/campus/gzcc/GZCC-16SE2/homework/2941。

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'

主要代码：

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

from pandas import DataFrame


def click(url):
    newsId = re.search('/(d*).html', url).group(1)
    clickUrl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(newsId)
    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'
    s = BeautifulSoup(res.text, 'html.parser')
    newsDetail['newsTitle'] = s.select('.show-title')[0].text
    showinfo = s.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['newsUrl'] = newsUrl
            newsDict['description'] = newsDest
            newsList.append(newsDict)
    return newsList

listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
alist(listUrl)
res = requests.get(listUrl)
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']


i = int(soup.select('#pages')[0].text.split('..')[1].rstrip(' 下一页 '))
allnews = []
for i in range(16, 26):
    listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    allnews.extend(alist(listUrl))

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']

pd.Series(anews)
newsdf: DataFrame = pd.DataFrame(allnews)
newsdf.to_csv(r'C:Users469Desktop
ews.csv')

for i in range(5):
    time.sleep(random.random() * 3)
    print(newsdf)

运行效果：