diff --git a/common_task.py b/common_task.py
index 5e418c3..4cce5cb 100644
--- a/common_task.py
+++ b/common_task.py
@@ -79,36 +79,37 @@ def run_india_scraper():
     india_search_input_file = "naukri/_industry_urls.csv"
     india_search_output_file = f"india_data/daily_search_results/search_result_india_{today_date}.csv"
     india_search_error_file = f"india_data/daily_error_folder/search_error_india_{today_date}.csv"
-    # india_search_stats_file = f"india_data/daily_stats_folder/stats_india_search_{today_date}.txt"
-    # start_time = time.time()
-    # scraper = NaukriJobScraper(india_search_input_file, india_search_output_file, india_search_error_file)
-    # scraper.scrape()
-    # end_time = time.time()
-    # duration_hours = (end_time - start_time) / 3600
-    # print(f"Search program took {duration_hours:.2f} hours to run.")
-    # with open(india_search_stats_file, "a") as stat:
-    #     stat.write(f"Search program took {duration_hours:.2f} hours to run. \n")
-    # folder_path = "india_data/daily_search_results/"
-    # search_pattern = "search_result_india_*.csv"
-    # last_file = find_second_latest_file(folder_path, search_pattern)
-    # fresh_output = f"india_data/daily_process_folder/new_jobs_on_{today_date}.csv"
+    india_search_stats_file = f"india_data/daily_stats_folder/stats_india_search_{today_date}.txt"
+    start_time = time.time()
+    scraper = NaukriJobScraper(india_search_input_file, india_search_output_file, india_search_error_file)
+    scraper.scrape()
+    end_time = time.time()
+    duration_hours = (end_time - start_time) / 3600
+    print(f"Search program took {duration_hours:.2f} hours to run.")
+    with open(india_search_stats_file, "a") as stat:
+        stat.write(f"Search program took {duration_hours:.2f} hours to run. \n")
+    folder_path = "india_data/daily_search_results/"
+    search_pattern = "search_result_india_*.csv"
+    last_file = find_second_latest_file(folder_path, search_pattern)
+    fresh_output = f"india_data/daily_process_folder/new_jobs_on_{today_date}.csv"
     expired_output = f"india_data/daily_upload_folder/expired_Compete_1_India_{today_date}.csv"
-    # common_output = f"india_data/daily_common_folder/common_data_on_{today_date}.csv"
-    # do_the_difference(india_search_output_file, last_file, 'jdURL', 
-    #                   fresh_output, expired_output, common_output)
+    common_output = f"india_data/daily_common_folder/common_data_on_{today_date}.csv"
+    do_the_difference(india_search_output_file, last_file, 'jdURL', 
+                      fresh_output, expired_output, common_output)
     india_detail_file = f"india_data/daily_upload_folder/Compete_1_India_{today_date}.csv"
-    # india_detail_error_file = f"india_data/daily_error_folder/error_on_India_detail_{today_date}.txt"
-    # start_time = time.time()
-    # scraper = NaukriJobDetailScraper(fresh_output, india_detail_file, india_detail_error_file) 
-    # scraper.scrape()
-    # end_time = time.time()
-    # duration_hours = (end_time - start_time) / 3600
-    # print(f"Jobdata program took {duration_hours:.2f} hours to run.")
-    # with open(f'india_data/daily_stats_folder/stats_file_of_{today_date}.txt', "a") as stat:
-    #   stat.write(f"Jobdata program took {duration_hours:.2f} hours to run.\n")
-    # upload_file_to_bucket(expired_output, f"expired_Compete_1_India_{today_date}.csv" )
-    # upload_file_to_bucket(india_detail_file, f"Compete_1_India_{today_date}.csv" )
-    upload_file_to_bucket("india_data/daily_upload_folder/Compete_1_India_13-10-2023.csv", f"Compete_1_India_{today_date}.csv" )
+    india_detail_error_file = f"india_data/daily_error_folder/error_on_India_detail_{today_date}.txt"
+    start_time = time.time()
+    scraper = NaukriJobDetailScraper(fresh_output, india_detail_file, india_detail_error_file) 
+    scraper.scrape()
+    end_time = time.time()
+    duration_hours = (end_time - start_time) / 3600
+    print(f"Jobdata program took {duration_hours:.2f} hours to run.")
+    with open(f'india_data/daily_stats_folder/stats_file_of_{today_date}.txt', "a") as stat:
+      stat.write(f"Jobdata program took {duration_hours:.2f} hours to run.\n")
+    current_date = datetime.now()
+    today_date = current_date.strftime('%d-%m-%Y')
+    upload_file_to_bucket(expired_output, f"expired_Compete_1_India_{today_date}.csv" )
+    upload_file_to_bucket(india_detail_file, f"Compete_1_India_{today_date}.csv" )
 
 def run_gulf_scraper():