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:\Users\469\Desktop\news.csv') for i in range(5): time.sleep(random.random() * 3) print(newsdf)
运行效果: