diff --git a/backend/tests/test_tmdb_api.py b/backend/tests/test_tmdb_api.py
index 485af51..dd675fd 100644
--- a/backend/tests/test_tmdb_api.py
+++ b/backend/tests/test_tmdb_api.py
@@ -1,11 +1,63 @@
+import pytest
 import sys
 import os
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 from utils import *
 
-if __name__ == "__main__":
-    init_tmdb()
+@pytest.fixture(scope="module")
+def tmdb_setup():
+    init_tmdb("../config.json")
+
+def remove_key_from_list_of_dicts(lst, key):
+    """Remove specified key from all dictionaries in a list."""
+    for item in lst:
+        if key in item:
+            del item[key]
+    return lst
+
+def test_get_tmdb_data(tmdb_setup):
     movies = [1730, 104871, 31414, 76819]
+    expected_info = [
+        {
+            'tmdb_id': 1730,
+            'title': 'Inland Empire',
+            'directors': [{'id': 5602, 'name': 'David Lynch'}],
+            'genres': ['Thriller', 'Mystery', 'Fantasy', 'Horror'],
+            'release_year': 2006,
+            'runtime': 180,
+            'user_rating': []
+        },
+        {
+            'tmdb_id': 104871,
+            'title': 'Sicily!',
+            'directors': [{'id': 935136, 'name': 'Jean-Marie Straub'},
+                          {'id': 935137, 'name': 'Danièle Huillet'}],
+            'genres': ['Drama'],
+            'release_year': 1999,
+            'runtime': 66,
+            'user_rating': []
+        },
+        {
+            'tmdb_id': 31414,
+            'title': 'Satantango',
+            'directors': [{'id': 85637, 'name': 'Béla Tarr'}],
+            'genres': ['Drama'],
+            'release_year': 1994,
+            'runtime': 432,
+            'user_rating': []
+        },
+        {
+            'tmdb_id': 76819,
+            'title': 'Teenage Hooker Became A Killing Machine In Daehakro',
+            'directors': [{'id': 1371835, 'name': 'Nam Gee-woong'}],
+            'genres': ['Science Fiction', 'Horror'],
+            'release_year': 2000,
+            'runtime': 60,
+            'user_rating': []
+        }
+    ]
+
     info = [get_tmdb_data(movie) for movie in movies]
-    print(info)
\ No newline at end of file
+    info_filtered = remove_key_from_list_of_dicts(info, 'popularity')
+    assert info_filtered == expected_info
\ No newline at end of file