爬取全部的校园新闻
本次作业来源于:https://edu.cnblogs.com/campus/gzcc/GZCC-16SE1/homework/3002
import包:
import re import requests from bs4 import BeautifulSoup from datetime import datetime import time import random import pandas as pd
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
click点击函数:
def click(url): id = re.findall('\d+',url)[-1] clickUrl = "http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80".format(id) clickText = requests.get(clickUrl).text click = int(clickText.split('.html')[-1][2:-3]) return click
1.从新闻url获取新闻详情: 字典,anews
发布时间获取:
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
新闻详情获取:
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 showInfomation = soup.select('.show-info')[0].text newsDetail['newsDT'] = newsdt(showInfomation) newsDetail['newsClick'] = click(url) return newsDetail newsUrl = "http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0404/11155.html" print(anews(newsUrl))
2.从列表页的url获取新闻url:列表append(字典) alist
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/' allnews = alist(listUrl) for newtro in allnews: print(newtro)
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
allnews = [] for i in range(2,12): listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i) allnews.extend(alist(listUrl)) for n in allnews: print(n) #统计所爬取的新闻总数 print(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')
newsdf = pd.DataFrame(allnews) for i in range(5): print(i) time.sleep(random.random() * 3) print(newsdf) # 保存到本地csv文件 newsdf.to_csv(r'E:\大三用的软件\PyCharm Community Edition 2018.3.5\homework\testnews.csv',encoding='utf-8')