diff --git a/naukri/jobdata_gulf.py b/naukri/jobdata_gulf.py
deleted file mode 100644
index 92debf4..0000000
--- a/naukri/jobdata_gulf.py
+++ /dev/null
@@ -1,132 +0,0 @@
-import requests
-import csv
-import concurrent.futures
-
-# List of URLs to query
-base_url = "https://www.naukrigulf.com/spapi/jobs/{}"
-
-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'
-}
-
-keys_to_extract = ['designation','description','company','compensation','industryType','functionalArea','jobSource','location','other','desiredCandidate','contact','isExpired','locationInterlinking']
-company_keys = ['name','details']
-salary_key = ['minimumSalary','maximumSalary','currency','label','hideSalary']  
-rfile = "ME_jobIds.csv"
-loc_list = []
-skill_other =[]
-skill_pref = []
-
-
-
-def fetch_url(url):
-    try:
-        url = base_url.format(url)
-        response = requests.get(url, headers=headers)
-        return response.json(), response.status_code, url
-    except requests.exceptions.RequestException as e:
-        return "", str(e), url
-    
-def batch_process(urls):
-    results = []
-    with concurrent.futures.ThreadPoolExecutor() as executor:
-        future_to_url = {executor.submit(fetch_url, url): url for url in urls}
-        
-        for future in concurrent.futures.as_completed(future_to_url):
-            url = future_to_url[future]
-            try:
-                result = future.result()
-                results.append(result)
-            except Exception as e:
-                results.append((url, str(e)))
-    return results
-
-def main():
-    batch_size = 50
-    results = []
-    count = 1
-    # Open a CSV file for writing
-    with open('output_jobs_0209_me.csv', 'a', newline='', encoding='utf-8') as csvfile:
-        csvwriter = csv.writer(csvfile)
-        
-        # Write header to the CSV file
-        csvwriter.writerow(['URL'] + list(keys_to_extract))
-        
-        with open(rfile,'r') as file:
-            csv_reader = csv.reader(file)
-            urls = [row.replace("\n","") for row in file]
-
-        for i in range(0, len(urls), batch_size):
-            batch = urls[i:i+batch_size]
-            batch_results = batch_process(batch)
-            # Make the HTTP GET request
-            #row = row.replace("\n","")
-            #`url = base_url.format(row)`
-                #try:
-            for response in batch_results:
-                    print(count)
-                    count = count + 1
-                    if response[1]== 200:
-                        json_data = response[0]
-                        
-                        job_details = json_data
-                        # Extract specific key values from the JSON response
-                        values_to_store = [job_details.get(key, '') for key in keys_to_extract]
-                        """if values_to_store[0]!="": 
-
-                            [values_to_store.append(job_details["companyDetail"].get(key,'')) for key in company_keys]
-                            [values_to_store.append(job_details["salaryDetail"].get(key,'')) for key in salary_key]
-                            
-                            for loc in job_details["locations"]:
-                                loc_list.append(loc.get('label',''))
-                            values_to_store.append(loc_list)
-
-                            for skill in job_details["keySkills"]["other"]:
-                                skill_other.append(skill.get('label',''))
-                            values_to_store.append(skill_other)
-
-                            for skill in job_details["keySkills"]["preferred"]:
-                                skill_pref.append(skill.get('label',''))  
-                            values_to_store.append(skill_pref)
-                        
-                        else:
-                            values_to_store[1]=""
-                            values_to_store.append(job_details["companyDetail"])
-                            values_to_store.append(job_details["salaryDetail"])
-                            values_to_store.append(job_details["locations"])
-                            values_to_store.append(job_details["keySkills"])
-                        """ 
-                        # Write the extracted values to the CSV file
-                        csvwriter.writerow([response[2]] + values_to_store)
-                    else:
-                        print(f"Failed to fetch data for job ID: {response[2]} with {response[0]}")
-                        csvwriter.writerow([response[2]] + [response[0]])
-
-              #  except requests.exceptions.RequestException as e:
-               #     csvwriter.writerow([url] + [str(e)])
-
-    print("Data extraction and CSV writing complete.")
-
-if __name__ == "__main__":
-    main()
-
-