diff --git a/jobs.py b/jobs.py
index 76a7328..cc9ad53 100644
--- a/jobs.py
+++ b/jobs.py
@@ -1,28 +1,37 @@
 from jobspy import scrape_jobs
 import logging
 
-def getJobs(jobTitle, results_wanted, hours_old):
+
+def getJobs(
+    jobTitle,
+    results_wanted,
+    hours_old,
+    country,
+    location,
+    is_remote,
+):
     jobs = scrape_jobs(
         site_name=[
             "indeed",
             "linkedin",
             # "zip_recruiter",
-            "google",
+            # "google",
             # "glassdoor",
             # "bayt",
             # "naukri",
             # "bdjobs",
         ],
         search_term=jobTitle,
-        location="Cairo",
+        location=location,
         results_wanted=results_wanted,
-        google_search_term=f"{jobTitle} jobs near Cairo since {hours_old} hours",
+        # google_search_term=f"{jobTitle} jobs near Cairo since {hours_old} hours",
         hours_old=hours_old,
-        country_indeed="Egypt",
+        country_indeed=country,
+        is_remote=is_remote,
         linkedin_fetch_description=True,  # gets more info such as description, direct job url (slower)
         # proxies=["208.195.175.46:65095", "208.195.175.45:65095", "localhost"],
     )
-    logging.warning(f"Found {len(jobs)} {jobTitle} jobs")
+    logging.warning(f"Found {len(jobs)} {jobTitle} jobs in {country},{location}")
     # print(jobs)
     return jobs
     # jobs.to_csv(
diff --git a/main.py b/main.py
index 2de7a59..a747e50 100644
--- a/main.py
+++ b/main.py
@@ -23,20 +23,21 @@ with open("instruction.txt", "r") as f:
     CV = f.read()
 
 
-def get_jobs(job_title, results_wanted, hours_old):
+def get_jobs(job_title, results_wanted, hours_old, country, location, is_remote):
     global all_jobs
-    jobs = getJobs(job_title, results_wanted, hours_old)
+    jobs = getJobs(job_title, results_wanted, hours_old, country, location, is_remote=False)
     all_jobs = pd.concat([all_jobs, jobs], ignore_index=True)
 
 
 if __name__ == "__main__":
-    get_jobs("devops", results_wanted=30, hours_old=2)
-    get_jobs("backend", results_wanted=30, hours_old=2)
-    get_jobs("software engineer", results_wanted=30, hours_old=2)
-    get_jobs("cloud", results_wanted=30, hours_old=2)
-    get_jobs("site reliability engineer", results_wanted=30, hours_old=2)
-    get_jobs("sre", results_wanted=30, hours_old=2)
-    get_jobs("intern", results_wanted=30, hours_old=2)
+    get_jobs("devops", results_wanted=30, hours_old=2, country="egypt", location="cairo")
+    get_jobs("backend", results_wanted=30, hours_old=2, country="egypt", location="cairo")
+    get_jobs("software engineer",results_wanted=30,hours_old=2,country="egypt",location="cairo",)
+    get_jobs("cloud", results_wanted=30, hours_old=2, country="egypt", location="cairo")
+    get_jobs("site reliability engineer",results_wanted=30,hours_old=2,country="egypt",location="cairo")
+    get_jobs("sre", results_wanted=30, hours_old=2, country="egypt", location="cairo")
+    get_jobs("intern", results_wanted=30, hours_old=2, country="egypt", location="cairo")
+    # get_jobs("devops",results_wanted=200,hours_old=2,country="worldwide",location="",is_remote=True)
     all_jobs.drop_duplicates(inplace=True, ignore_index=True)
     logging.warning(f"Total jobs no duplicates: {len(all_jobs)}")
     filter_jobs(all_jobs, CV, api_keys, good_fit_jobs)