Update api_scraper.py

api_scraper.py

@@ -139,10 +139,9 @@ class MLB_Scrape:
 
         return game_df
     
-
     def get_data(self, game_list_input: list):
         """
-        Retrieves live game data for a list of game IDs in parallel.
+        Retrieves live game data for a list of game IDs.
         
         Parameters:
         - game_list_input (list): A list of game IDs for which to retrieve live data.
@@ -153,18 +152,16 @@ class MLB_Scrape:
         data_total = []
         print('This May Take a While. Progress Bar shows Completion of Data Retrieval.')
         
-        def fetch_data(game_id):
-            r = requests.get(f'https://statsapi.mlb.com/api/v1.1/game/{game_id}/feed/live')
-            return r.json()
-        
-        with ThreadPoolExecutor() as executor:
-            futures = {executor.submit(fetch_data, game_id): game_id for game_id in game_list_input}
-            for future in tqdm(as_completed(futures), total=len(futures), desc="Processing", unit="iteration"):
-                data_total.append(future.result())
-                time.sleep(0.1)
+        # Iterate over the list of game IDs with a progress bar
+        for i in tqdm(range(len(game_list_input)), desc="Processing", unit="iteration"):
+            # Make a GET request to the MLB API for each game ID
+            r = requests.get(f'https://statsapi.mlb.com/api/v1.1/game/{game_list_input[i]}/feed/live')
+            # Append the JSON response to the data_total list
+            data_total.append(r.json())
         
         return data_total
 
+
     def get_data_df(self, data_list):
         """
         Converts a list of game data JSON objects into a Polars DataFrame.