爬取全部的校园新闻

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)

# -*- coding: utf-8 -*-
"""
Created on Thu Apr 11 12:33:03 2019

@author: Administrator
"""

import requests
from bs4 import BeautifulSoup
from datetime import datetime
import re
import pandas as pd
import time
import random
import sqlite3

newsUrl = 'http://news.gzcc.cn/html/2005/xiaoyuanxinwen_0710/4.html'
listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'


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(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


alist(listUrl)

alist(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))

allnews = []
for i in range(57, 67):
    listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
    allnews.extend(alist(listUrl))

print("allnewsLength={}".format(len(allnews)))
print(allnews)

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))

s1 = pd.Series([100, 23, 'bugingcode'])
print(s1)
pd.Series(anews)
newsdf = pd.DataFrame(allnews)
for i in range(5):
    print(i)
    time.sleep(random.random() * 3)
    print(newsdf)

newsdf.to_csv(r'D:py_filegzcc.csv',encoding='utf_8_sig')

with sqlite3.connect(r'D:py_filegzccnewsdb.sqlite') as db:
    newsdf.to_sql('gzccnewsdb',db)