Modefied json storage method

 import csv
+import json
 import time
 import random
 import os
 import re
 import pandas as pd
+import numpy as np
 
 from selenium import webdriver
 from selenium.common.exceptions import NoSuchElementException
@@ -15,15 +17,15 @@ BASE_DIR = os.path.dirname(os.path.realpath(__file__))
 def sleeptime():
     time.sleep(random.randint(1, 3))
 
-def Click(xpath):
+def Click(xpath, driver):
     element = driver.find_element_by_xpath(xpath)
     driver.execute_script("arguments[0].click();", element)
     sleeptime()
 
 def GetData():
     login_info = {
-        'userID' : 'qdw0313',
-        'userpw' : 'fejUfrQxHWwtcGcP0'
+        'userID' : '********',
+        'userpw' : '********'
     }
 
     options = webdriver.ChromeOptions()
@@ -59,17 +61,17 @@ def GetData():
     post_df = pd.DataFrame(columns=['title', 'content'])
     while swt:
         if page < 1:
-            Click('//*[@id="submenu"]/div/div[2]/ul/li[1]/a')
+            Click('//*[@id="submenu"]/div/div[2]/ul/li[1]/a', driver)
             page += 1
         else:
             if page == 1:
-                Click('//*[@id="container"]/div[2]/div[2]/a')
+                Click('//*[@id="container"]/div[2]/div[2]/a', driver)
                 page += 1
             elif page == 2:
-                Click('//*[@id="container"]/div[2]/div[2]/a[2]')
+                Click('//*[@id="container"]/div[2]/div[2]/a[2]', driver)
                 page += 1
             else:
-                Click('//*[@id="container"]/div[2]/div[2]/a[3]')
+                Click('//*[@id="container"]/div[2]/div[2]/a[3]', driver)
 
         html = driver.page_source
         soup = BeautifulSoup(html, 'html.parser')
@@ -80,7 +82,7 @@ def GetData():
         for post in zip(TitleList, DateList):
             title = re.sub(pattern='[^\w\s]', repl='', string=post[0].text)
             try:
-                Click("//h2[contains(text(), '{}')]".format(title))
+                Click("//h2[contains(text(), '{}')]".format(title), driver)
             except NoSuchElementException:
                 continue
             content = driver.find_element_by_xpath('//*[@id="container"]/div[2]/article/a/p').text
@@ -90,17 +92,29 @@ def GetData():
             if not (post_df['title'] == title).any():
                 # Click('//*[@id="container"]/div[2]/article[{}]'.format(idx))
                 content = re.sub(pattern='[^\w\s]', repl='', string=content)
+                content = re.sub(pattern='\n', repl=' ', string=content)
                 post_df = post_df.append(pd.DataFrame([[title, content]],
                                                       columns=['title', 'content']))
                 # print("{0}. {1} : {2}".format(idx, title, content))
-            print(post[1].text)
-            print(yesterday < "06/02 16:35")
-            exit()
             if post[1].text <= yesterday:
                 break
+        break
 
     post_df.to_csv('data.csv', mode='w', encoding='utf-8-sig', index=False)
     print("CVS file saved")
-    with open('data.json', 'w', encoding='utf-8') as file:
-        post_df.to_json(file, force_ascii=False)
-    print("JSON file saved")
\ No newline at end of file
+    # print(post_df)
+    # exit()
+    # post_df.reset_index(drop=True, inplace=True)
+    # post_df.to_json('data.json')
+    # # with open('data.json', 'w', encoding='utf-8-sig') as file:
+    # #     post_df.to_json(file, force_ascii=False)
+
+    with open('data.json', 'w+', encoding='utf-8-sig') as json_file:
+        for post in zip(post_df['title'].tolist(), post_df['content'].tolist()):
+            json.dump(post[0] + post[1], json_file, ensure_ascii=False)
+    print("JSON file saved")
+
+GetData()
+######## TODO: JSON으로 저장
+######## 형식 : { "document" : { "type" : "PLAIN_TEXT", "content" : "~~" }, "encodingType" : "UTF8" }
+######## GOOGLE Sentiment Analyzer 사용을 위해
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