改作業要求來源于:https://edu.cnblogs.com/campus/gzcc/GZCC-16SE2/homework/2941
一、要求:
1.從新聞url擷取新聞詳情: 字典,anews
2.從清單頁的url擷取新聞url:清單append(字典) alist
3.生成所頁清單頁的url并擷取全部新聞 :清單extend(清單) allnews
*每個同學爬學号尾數開始的10個清單頁
4.設定合理的爬取間隔
import time
import random
time.sleep(random.random()*3)
5.用pandas做簡單的資料處理并儲存
儲存到csv或excel檔案
newsdf.to_csv(r'F:\duym\爬蟲\gzccnews.csv')
儲存到資料庫
import sqlite3
with sqlite3.connect('gzccnewsdb.sqlite') as db:
newsdf.to_sql('gzccnewsdb',db)
二、代碼及效果圖
1、從新聞url擷取新聞詳情: 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
# 擷取點選次數
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
# 擷取時間
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', "點選:", click)
return newDict
效果圖:

2、從清單頁的url擷取新聞url:清單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))
3、生成所頁清單頁的url并擷取全部新聞 :清單extend(清單) allnews
allnews=[]
for i in range(87,97):
listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i)
allnews.extend(alist(listUrl))
print(len(allnews))
4、設定合理的爬取間隔
for j in range(5):
time.sleep(random.random()*3)
5、用pandas做簡單的資料處理并儲存
newsdf=pd.DataFrame(allnews)
newsdf.to_csv('new.csv')
6、儲存到資料庫
import sqlite3
with sqlite3.connect('gzccnewsdb.sqlite') as db:
newsdf.to_sql('gzccnewsdb',db)