改做業要求來源於:https://edu.cnblogs.com/campus/gzcc/GZCC-16SE2/homework/2941php
1.重新聞url獲取新聞詳情: 字典,anewshtml
2.從列表頁的url獲取新聞url:列表append(字典) alistpython
3.生成所頁列表頁的url並獲取所有新聞 :列表extend(列表) allnewssql
*每一個同窗爬學號尾數開始的10個列表頁數據庫
4.設置合理的爬取間隔api
import timeapp
import randomdom
time.sleep(random.random()*3)url
5.用pandas作簡單的數據處理並保存3d
保存到csv或excel文件
newsdf.to_csv(r'F:\duym\爬蟲\gzccnews.csv')
保存到數據庫
import sqlite3
with sqlite3.connect('gzccnewsdb.sqlite') as db:
newsdf.to_sql('gzccnewsdb',db)
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 # 獲取點擊次數 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 # 獲取時間 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', "點擊:", click) return newDict
效果圖:
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))
效果圖:
allnews=[] for i in range(87,97): listUrl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i) allnews.extend(alist(listUrl)) print(len(allnews))
效果圖:
for j in range(5): time.sleep(random.random()*3)
newsdf=pd.DataFrame(allnews) newsdf.to_csv('new.csv')
效果圖:
import sqlite3 with sqlite3.connect('gzccnewsdb.sqlite') as db: newsdf.to_sql('gzccnewsdb',db)