做業要求來自於https://edu.cnblogs.com/campus/gzcc/GZCC-16SE2/homework/2941php
1.重新聞url獲取新聞詳情: 字典,anews html
代碼以下: sql
1 import requests 2 from bs4 import BeautifulSoup 3 from datetime import datetime 4 import re 5 6 def click(url): 7 id = re.findall('(\d{1,5})',url)[-1]#返回全部匹配的字符串的字符串列表的最後一個 8 clickUrl = 'http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(id) 9 resClick = requests.get(clickUrl) 10 newsClick = int(resClick.text.split('.html')[-1].lstrip("('").rstrip("');")) 11 return newsClick 12 13 def newsdt(showinfo): 14 newsDate = showinfo.split()[0].split(':')[1] 15 newsTime = showinfo.split()[1] 16 newsDT = newsDate+' '+newsTime 17 dt = datetime.strptime(newsDT,'%Y-%m-%d %H:%M:%S')#轉換成datetime類型 18 return dt 19 20 def anews(url): 21 newsDetail = {} 22 res = requests.get(url) 23 res.encoding = 'utf-8' 24 soup = BeautifulSoup(res.text,'html.parser') 25 newsDetail['newsTitle'] = soup.select('.show-title')[0].text#題目 26 showinfo = soup.select('.show-info')[0].text 27 newsDetail['newsDT'] = newsdt(showinfo)#時間 28 newsDetail['newsClick'] = click(newsUrl)#點擊次數 29 return newsDetail 30 newsUrl = 'http://news.gzcc.cn/html/2018/xiaoyuanxinwen_1217/10704.html' 31 print(anews(newsUrl))
運行截圖: 數據庫
2.從列表頁的url獲取新聞url:列表append(字典) alist api
代碼以下: 數組
1 def anews(url): 2 newsDetail = {} 3 res = requests.get(url) 4 res.encoding = 'utf-8' 5 soup = BeautifulSoup(res.text,'html.parser') 6 newsDetail['newsTitle'] = soup.select('.show-title')[0].text#題目 7 return newsDetail 8 def alist(url): 9 res=requests.get(listUrl) 10 res.encoding='utf-8' 11 soup = BeautifulSoup(res.text,'html.parser') 12 newsList=[] 13 for news in soup.select('li'): 14 if len(news.select('.news-list-title'))>0: 15 newsUrl=news.select('a')[0]['href'] 16 newsDesc=news.select('.news-list-description')[0].text 17 newsDict=anews(newsUrl) 18 newsDict['description']=newsDesc 19 newsList.append(newsDict) 20 return newsList 21 listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/' 22 alist(listUrl)
運行截圖: 數據結構
3.生成所頁列表頁的url並獲取所有新聞 :列表extend(列表) allnews app
*每一個同窗爬學號尾數開始的10個列表頁dom
代碼以下: ide
1 def alist(url): 2 res=requests.get(listUrl) 3 res.encoding='utf-8' 4 soup = BeautifulSoup(res.text,'html.parser') 5 newsList=[] 6 for news in soup.select('li'): 7 if len(news.select('.news-list-title'))>0: 8 newsUrl=news.select('a')[0]['href'] 9 newsDesc=news.select('.news-list-description')[0].text 10 newsDict=anews(newsUrl) 11 newsDict['description']=newsDesc 12 newsList.append(newsDict) 13 return newsList 14 listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/' 15 alist(listUrl) 16 17 allnews=[] 18 for i in range(83,93): 19 listUrl='http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html'.format(i) 20 allnews.extend(alist(listUrl)) 21 22 for i in range(5): 23 print(i) 24 time.sleep(random.random()*3)#沉睡隨機數的3倍秒數 25 print(allnews)
運行截圖:
4.設置合理的爬取間隔
import time
import random
time.sleep(random.random()*3)
代碼以下:
1 for i in range(5): 2 print(i) 3 time.sleep(random.random()*3)#沉睡隨機數的3倍秒數 4 print(allnews)
運行截圖:
5.用pandas作簡單的數據處理並保存
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)
代碼以下:
1 newsUrl = 'http://news.gzcc.cn/html/2018/xiaoyuanxinwen_1217/10704.html' 2 s2 = pd.Series(anews(newsUrl))#一維數組對象 3 print(s2) 4 newsdf = pd.DataFrame(allnews)#表格型的數據結構 5 print(newsdf) 6 pd.DataFrame(data=newsdf).to_csv('news.csv',encoding='utf_8_sig') 7 8 with sqlite3.connect('gzccnewsdb.sqlite') as db: 9 newsdf.to_sql('gzccnewsdb',db) 10 with sqlite3.connect('gzccnewsdb.sqlite') as db: 11 df2 = pandas.read_sql_query('SELECT * FROM gzccnewsdb',con=db)
運行截圖: