Update app.py

app.py

@@ -36,21 +36,30 @@ def get_backlinks(api_login, api_key, target_url, filters):
         st.text(f"Response Body: <Not a JSON response>\nError: {e}")
 
     # Check if the response contains 'results' key and handle the JSON structure appropriately
-    if response.status_code == 200 and 'results' in response_json:
-        results = response_json['results']
-        if results:
-            # Check if the results actually contain the backlink data you expect
-            st.text(f"Results: {results}")  # Debugging line to show the results structure
-
-            # If the structure is as expected, convert to DataFrame
-            df = pd.json_normalize(results)
-            return df
+    if response.status_code == 200:
+        response_data = response.json()
+        
+        # Debugging: Print out the keys of the response_data
+        st.text(f"Keys in response JSON: {list(response_data.keys())}")
+
+        if 'results' in response_data:
+            results = response_data['results']
+            if results:
+                # Debugging: print the first few items to inspect the structure
+                st.text(f"First few results: {results[:5]}")  # assuming results is a list
+                
+                # Convert to DataFrame
+                df = pd.json_normalize(results)
+                return df
+            else:
+                st.error("Received empty 'results' from API.")
+                return None
         else:
-            st.error("Received empty data from API.")
+            st.error(f"No 'results' key in response JSON. Full response: {response_data}")
             return None
     else:
-        # Handle API errors
-        st.error(f"Error: Code: {response.status_code} Message: {response_json.get('status_message', 'No specific error message provided')}")
+        error_message = response.json().get('status_message', 'No specific error message provided')
+        st.error(f"Error: Code: {response.status_code} Message: {error_message}")
         return None
 
 def convert_df_to_csv(df):