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)
1.
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')#转换成datetime类型
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#题目
showinfo = soup.select('.show-info')[0].text
newsDetail['newsDT'] = newsdt(showinfo)#时间
newsDetail['newsClick'] = click(newsUrl)#点击次数
print（newsDetail）
newsUrl = 'http://news.gzcc.cn/html/2019/xiaoyuanxinwen_0404/11155.html'
anews(newsUrl)
2.
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)
print(newsList)
listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'
3.
allnews = []
for i in range(88,98):
listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
allnews.extend(alist(listUrl))
print(allnews)
4
import time
import random
for i in range(5):
time.sleep(random.random()*3)
5.
newsdf=pd.DataFrame(allnews)
newsdf.to_csv('123.csv')
with sqlite3.connect('demo2.sqlite') as db:
newsdf.to_sql('gzccnewsdb',db)
