fix: handle none data in _recursive_extract

Author: punndcoder28

pandas/io/json/_normalize.py

@@ -490,6 +490,8 @@ def _pull_records(js: dict[str, Any], spec: list | str) -> list:
     meta_keys = [sep.join(val) for val in _meta]
 
     def _recursive_extract(data, path, seen_meta, level: int = 0) -> None:
+        if data is None:
+            return
         if isinstance(data, dict):
             data = [data]
         if len(path) > 1:

pandas/tests/io/json/test_normalize.py

@@ -582,6 +582,29 @@ def test_top_column_with_leading_underscore(self):
 
         tm.assert_frame_equal(result, expected)
 
+    def test_column_with_none(self):
+        # 53719
+        data = {
+            "root": [
+                {
+                    "id": 1,
+                    "nested_field": [{"nested_field_id": 1}],
+                },
+                {"id": 2, "nested_field": None},
+            ]
+        }
+        result = json_normalize(
+            data,
+            record_path=["root", "nested_field"],
+        )
+        expected = DataFrame(
+            {
+                "nested_field_id": [1],
+            }
+        )
+
+        tm.assert_frame_equal(result, expected)
+
 
 class TestNestedToRecord:
     def test_flat_stays_flat(self):