爬取全部的校园新闻
改作业要求来源于:https://edu.cnblogs.com/campus/gzcc/GZCC-16SE2/homework/2941
一、要求:
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)
二、代码及效果图
1、从新闻url获取新闻详情: 字典,anews
def new(url): newDict={} res = requests.get(url) res.encoding = ('utf-8') soup = BeautifulSoup(res.text, 'html.parser') title = soup.select('.show-title')[0].text.split() author = soup.select('.show-info')[0].text.split()[2] auditor = soup.select('.show-info')[0].text.split()[3] newDict["title"]=title newDict["author"]=author newDict["auditor"]=auditor # 获取点击次数 clickurl = 'http://oa.gzcc.cn/api.php?op=count&id=11029&modelid=80' res2 = requests.get(clickurl) click = res2.text.split('.html')[-1].lstrip("('").rstrip("');") newDict["click"]=click # 获取时间 newsdate = soup.select('.show-info')[0].text.split()[0].split(':')[1] newstime = soup.select('.show-info')[0].text.split()[1] time = newsdate + ' ' + newstime time = datetime.strptime(time, '%Y-%m-%d %H:%M:%S') newDict["time"]=time p = print(title, '\n', author, '\n', auditor, '\n', time, '\n', "点击:", click) return newDict
效果图:
2、从列表页的url获取新闻url:列表append(字典) alist
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'] newsData=new(newsUrl) newsList.append(newsData) return newsList listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/' print(alist(listUrl))
效果图:
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(87,97): listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i) allnews.extend(alist(listUrl)) print(len(allnews))
效果图:
4、设置合理的爬取间隔
import time
import random
time.sleep(random.random()*3)
for j in range(5): 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=pd.DataFrame(allnews) newsdf.to_csv('new.csv')
效果图:
6、保存到数据库
import sqlite3 with sqlite3.connect('gzccnewsdb.sqlite') as db: newsdf.to_sql('gzccnewsdb',db)