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 sqlite3newsUrl = '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 newsClickdef newsdt(showinfo):newsDate = showinfo.split()[0].split(':')[1]newsTime = showinfo.split()[1]newsDT = newsDate + ' ' + newsTimedt = datetime.strptime(newsDT, '%Y-%m-%d %H:%M:%S')return dtdef anews(url)：newsDetail = {}res = requests.get(url)res.encoding = 'utf-8'soup = BeautifulSoup(res.text, 'html.parser')newsDetail['newsTitle'] = soup.select('.show-title')[0].textshowinfo = soup.select('.show-info')[0].textnewsDetail['newsDT'] = newsdt(showinfo)newsDetail['newsClick'] = click(newsUrl)return newsDetaildef 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].textnewsDict = anews(newsUrl)newsDict['description'] = newsDescnewsList.append(newsDict)return newsListalist(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_file\gzcc.csv',encoding='utf_8_sig')with sqlite3.connect(r'D:\py_file\gzccnewsdb.sqlite') as db:newsdf.to_sql('gzccnewsdb',db)