diff --git a/naukri/search_gulf.py b/naukri/search_gulf.py
deleted file mode 100644
index 22db5ae..0000000
--- a/naukri/search_gulf.py
+++ /dev/null
@@ -1,95 +0,0 @@
-import requests
-import json
-import time
-import re
-import csv
-import math
-
-headers = {
-    'authority': 'www.naukrigulf.com',
-    'accept': 'application/json',
-    'accept-format': 'strict',
-    'accept-language': 'ENGLISH',
-    'appid': '205',
-    'cache-control': 'no-cache',
-    'client-type': 'desktop',
-    'clientid': 'desktop',
-    'device-type': 'desktop',
-    'puppeteer': 'false',
-    'referer': 'https://www.naukrigulf.com/jobs-in-uae',
-    'sec-ch-ua': '"Microsoft Edge";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
-    'sec-ch-ua-mobile': '?0',
-    'sec-ch-ua-platform': 'Windows',
-    'sec-fetch-dest': 'empty',
-    'sec-fetch-mode': 'cors',
-    'sec-fetch-site': 'same-origin',
-    'systemid': '2323',
-    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36 Edg/117.0.2045.12',
-    'userdata': '|IN'
-}
-
-error_pages = []
-keys_to_extract = ['designation', 'jobId', 'company','latestPostedDate','isEasyApply','jobSource','location','jdURL','vacancies']
-fields_to_write = ['designation', 'jobId', 'company','latestPostedDate','isEasyApply','jobSource','location','jdURL','vacancies','city']
-input_file = "naukri/_gulf_location.csv"
-jobs_per_pages = 50
-base_url = "https://www.naukrigulf.com/spapi/jobapi/search?Experience=&Keywords=&KeywordsAr=&Limit=50&Location={}&LocationAr=&Offset={}&SortPreference=&breadcrumb=1&locationId=&nationality=&nationalityLabel=&pageNo={}&srchId='"
-
-def parse_and_save(json_data, csv_filename, city):
-    parsed_data = []
-    for job in json_data["jobs"]:
-        parsed_item = {field: job.get(field, None) for field in keys_to_extract}
-        parsed_item['city'] = city
-        parsed_data.append(parsed_item)
-        #parsed_data.extend(city)
-
-    with open(csv_filename, "a", newline="", encoding="utf-8") as csvfile:
-        csv_writer = csv.DictWriter(csvfile, fieldnames= fields_to_write)
-        csv_writer.writeheader()
-        csv_writer.writerows(parsed_data)
-
-def main():
-#for page_number in range(1, 4700):  # Adjust the range as needed
-    with open(input_file, 'r') as file:
-        file_read = csv.reader(file)
-        for city in file_read:
-            city_read_url = city[0].replace("\n","")
-            output_data=[]
-            total_pages = 1000
-            output_filename_json = f"{city[0]}.json"
-            output_filename_csv = "output_all_gulf.csv"
-            start_page = 1
-
-            if(city[0] == "pharma"):
-                start_page = 173
-                total_pages = 22
-                total_page_num = 194
-            
-            while total_pages>0:
-                url = base_url.format(city[0],(jobs_per_pages*(start_page-1)),start_page)
-                response = requests.get(url, headers=headers)
-                    
-                if response.status_code == 200:
-                    json_data = response.json()
-                    
-                    if(total_pages == 1000):
-                        total_jobs = json_data["totalJobsCount"] 
-                        total_pages = math.ceil(total_jobs/jobs_per_pages)
-                        total_page_num = total_pages
-
-                    parse_and_save(json_data, output_filename_csv, city[0])
-                    print(f"Processed{url} : {start_page}/{total_page_num}/{total_pages}")
-                    total_pages = total_pages-1
-                    start_page = start_page+1
-
-                else:
-                    print("Error : ",response.status_code," at url ",url)
-                    error_pages.append(url)
-                    total_pages = total_pages-1
-                    start_page = start_page+1
-        
-            print("Data saved to output_new.json")
-            print(error_pages)
-
-if __name__ == "__main__":
-    main()
\ No newline at end of file