Create 네이버 증권 당일 거래 TOP 주식들 크롤링.py

Author: Cjunhyun

네이버 증권 당일 거래 TOP 주식들 크롤링.py

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+from bs4 import BeautifulSoup
+import urllib.request
+import pandas as pd
+from selenium import webdriver
+import time
+#네이버 증권 당일 거래 TOP 주식들 크롤링
+
+def Stock_crawling(result):
+    wd = webdriver.Chrome('/Users/jnhyn/Documents/Jun/4학년1학기/빅데이터/chromedriver')
+    time.sleep(3)
+    
+    url = "https://finance.naver.com/"
+    wd.get(url)
+    time.sleep(3)
+    
+    html = wd.page_source
+    soupCB1 = BeautifulSoup(html, 'html.parser')
+    
+    #당일 거래 상위 종목(상승)
+    stock_name_list1 = soupCB1.select("#_topItems1 > tr.up")
+
+    #당일 거래 상위 종목(하락)
+    stock_name_list2 = soupCB1.select("#_topItems1 > tr.down")
+
+    #당일 거래 상위 종목리스트(상승 + 하락)
+    stock_name_list = stock_name_list1 + stock_name_list2
+
+    #종목(주식) 개수
+    stock_len = len(stock_name_list)
+
+    for i in range(stock_len):
+        n = str(i+1)
+        try:
+            #주식 가격
+            stock_price_list = soupCB1.select("#_topItems1 > tr:nth-child("+n+") > td:nth-child(2)")
+            stock_price = stock_price_list[0].text
+
+            #주식 이름
+            stock_name_list = soupCB1.select("#_topItems1 > tr:nth-child("+n+") > th > a")
+            stock_name = stock_name_list[0].text
+
+            #주식 상승하락폭(금액)
+            stock_pice_updown_list1 = soupCB1.select("#_topItems1 > tr:nth-child("+n+") > td:nth-child(3)")
+            stock_pice_updown1 = stock_pice_updown_list1[0].text
+
+            #주식 상승하락폭(퍼센트)
+            stock_pice_updown_list2 = soupCB1.select("#_topItems1 > tr:nth-child("+n+") > td:nth-child(4)")
+            stock_pice_updown2 = stock_pice_updown_list2[0].text
+
+            result.append([stock_name]+[stock_price]+[stock_pice_updown1]+[stock_pice_updown2])
+        except:
+            continue
+    
+    return
+
+def main():
+    result= []
+    check = 0
+    print('stock crawling >>>>>>>>>>>>>>>>>>>>>>>>') 
+    Stock_crawling(result)
+    print(result)
+    CB_tbl = pd.DataFrame(result,columns =('name','price','updown','updown(%)')) 
+    CB_tbl.to_csv('./3-최준현-201835753.csv', encoding = 'cp949', mode = 'w',index = True)
+
+main()