diff --git a/scrapegraphai/utils/schema_trasform.py b/scrapegraphai/utils/schema_trasform.py
index 91f4c0332..cdc76d7ad 100644
--- a/scrapegraphai/utils/schema_trasform.py
+++ b/scrapegraphai/utils/schema_trasform.py
@@ -17,6 +17,11 @@ def transform_schema(pydantic_schema):
     def process_properties(properties):
         result = {}
         for key, value in properties.items():
+            if "anyOf" in value:
+                # Optional[X] is emitted as anyOf [X, null]: describe it as X
+                variants = [v for v in value["anyOf"] if v.get("type") != "null"]
+                if len(variants) == 1:
+                    value = {**value, **variants[0]}
             if "type" in value:
                 if value["type"] == "array":
                     if "items" in value and "$ref" in value["items"]:
diff --git a/tests/utils/schema_transform_test.py b/tests/utils/schema_transform_test.py
new file mode 100644
index 000000000..2dc7f9d7c
--- /dev/null
+++ b/tests/utils/schema_transform_test.py
@@ -0,0 +1,27 @@
+from typing import List, Optional
+
+from pydantic import BaseModel, Field
+
+from scrapegraphai.utils.schema_trasform import transform_schema
+
+
+class Seller(BaseModel):
+    name: str
+
+
+class Product(BaseModel):
+    title: str = Field(description="Product title")
+    price: Optional[float] = Field(default=None, description="Price in USD")
+    tags: Optional[List[str]] = None
+    seller: Optional[Seller] = None
+
+
+def test_transform_schema_keeps_optional_fields():
+    result = transform_schema(Product.model_json_schema())
+
+    assert result == {
+        "title": {"type": "string", "description": "Product title"},
+        "price": {"type": "number", "description": "Price in USD"},
+        "tags": ["string"],
+        "seller": {"name": {"type": "string", "description": ""}},
+    }