diff --git a/src/kleinanzeigen_bot/__init__.py b/src/kleinanzeigen_bot/__init__.py
index a3cab77..de32e90 100644
--- a/src/kleinanzeigen_bot/__init__.py
+++ b/src/kleinanzeigen_bot/__init__.py
@@ -855,8 +855,8 @@ class KleinanzeigenBot(WebScrapingMixin):
             "new_with_tag": "Neu mit Etikett",
             "new": "Neu",
             "like_new": "Sehr Gut",
-            "alright": "Gut",
-            "ok": "In Ordnung",
+            "ok": "Gut",
+            "alright": "In Ordnung",
             "defect": "Defekt",
         }
         mapped_condition = condition_mapping.get(condition_value)
diff --git a/src/kleinanzeigen_bot/extract.py b/src/kleinanzeigen_bot/extract.py
index 71d8f1b..80669d1 100644
--- a/src/kleinanzeigen_bot/extract.py
+++ b/src/kleinanzeigen_bot/extract.py
@@ -277,7 +277,19 @@ class AdExtractor(WebScrapingMixin):
         title:str = await self.web_text(By.ID, "viewad-title")
         LOG.info('Extracting information from ad with title "%s"', title)
 
+        # contains info about ad in different dimensions in form of a key:value dict
+        # dimension108 contains special attributes
+        # dimension92 contains fake category, which becomes an special attribute on ad page
+        belen_conf = await self.web_execute("window.BelenConf")
+
         info["category"] = await self._extract_category_from_ad_page()
+
+        # append subcategory and change e.g. category "161/172" to "161/172/lautsprecher_kopfhoerer"
+        # take subcategory from dimension92 as key 'art_s' sometimes is a special attribute (e.g. gender for clothes)
+        # the subcategory isn't really necessary, but when set, the appropriate special attribute gets preselected
+        if belen_conf["universalAnalyticsOpts"]["dimensions"]["dimension92"]:
+            info["category"] += f"/{belen_conf['universalAnalyticsOpts']['dimensions']['dimension92']}"
+
         info["title"] = title
 
         # Get raw description text
@@ -296,11 +308,8 @@ class AdExtractor(WebScrapingMixin):
 
         info["description"] = description_text.strip()
 
-        info["special_attributes"] = await self._extract_special_attributes_from_ad_page()
-        if "art_s" in info["special_attributes"]:
-            # change e.g. category "161/172" to "161/172/lautsprecher_kopfhoerer"
-            info["category"] = f"{info['category']}/{info['special_attributes']['art_s']}"
-            del info["special_attributes"]["art_s"]
+        info["special_attributes"] = await self._extract_special_attributes_from_ad_page(belen_conf)
+
         if "schaden_s" in info["special_attributes"]:
             # change f to  'nein' and 't' to 'ja'
             info["special_attributes"]["schaden_s"] = info["special_attributes"]["schaden_s"].translate(str.maketrans({"t": "ja", "f": "nein"}))
@@ -347,18 +356,16 @@ class AdExtractor(WebScrapingMixin):
 
         return category
 
-    async def _extract_special_attributes_from_ad_page(self) -> dict[str, Any]:
+    async def _extract_special_attributes_from_ad_page(self, belen_conf:dict[str, Any]) -> dict[str, Any]:
         """
         Extracts the special attributes from an ad page.
         If no items are available then special_attributes is empty
 
         :return: a dictionary (possibly empty) where the keys are the attribute names, mapped to their values
         """
-        belen_conf = await self.web_execute("window.BelenConf")
 
         # e.g. "art_s:lautsprecher_kopfhoerer|condition_s:like_new|versand_s:t"
         special_attributes_str = belen_conf["universalAnalyticsOpts"]["dimensions"]["dimension108"]
-
         special_attributes = dict(item.split(":") for item in special_attributes_str.split("|") if ":" in item)
         special_attributes = {k: v for k, v in special_attributes.items() if not k.endswith(".versand_s") and k != "versand_s"}
         return special_attributes
diff --git a/tests/unit/test_extract.py b/tests/unit/test_extract.py
index fee3976..330b422 100644
--- a/tests/unit/test_extract.py
+++ b/tests/unit/test_extract.py
@@ -433,6 +433,14 @@ class TestAdExtractorContent:
                     raw_description,  # Raw description (without affixes)
                     "03.02.2025"  # Creation date
                 ]),
+                web_execute=AsyncMock(return_value={
+                    "universalAnalyticsOpts": {
+                        "dimensions": {
+                            "dimension92": "",
+                            "dimension108": ""
+                        }
+                    }
+                }),
                 _extract_category_from_ad_page = AsyncMock(return_value = "160"),
                 _extract_special_attributes_from_ad_page = AsyncMock(return_value = {}),
                 _extract_pricing_info_from_ad_page = AsyncMock(return_value = (None, "NOT_APPLICABLE")),
@@ -461,6 +469,14 @@ class TestAdExtractorContent:
                 TimeoutError("Timeout"),  # Description times out
                 "03.02.2025"  # Date succeeds
             ]),
+            web_execute=AsyncMock(return_value={
+                "universalAnalyticsOpts": {
+                    "dimensions": {
+                        "dimension92": "",
+                        "dimension108": ""
+                    }
+                }
+            }),
             _extract_category_from_ad_page = AsyncMock(return_value = "160"),
             _extract_special_attributes_from_ad_page = AsyncMock(return_value = {}),
             _extract_pricing_info_from_ad_page = AsyncMock(return_value = (None, "NOT_APPLICABLE")),
@@ -494,6 +510,14 @@ class TestAdExtractorContent:
                 raw_description,  # Description without affixes
                 "03.02.2025"  # Creation date
             ]),
+            web_execute = AsyncMock(return_value = {
+                "universalAnalyticsOpts": {
+                    "dimensions": {
+                        "dimension92": "",
+                        "dimension108": ""
+                    }
+                }
+            }),
             _extract_category_from_ad_page = AsyncMock(return_value = "160"),
             _extract_special_attributes_from_ad_page = AsyncMock(return_value = {}),
             _extract_pricing_info_from_ad_page = AsyncMock(return_value = (None, "NOT_APPLICABLE")),
@@ -575,9 +599,35 @@ class TestAdExtractorCategory:
                     }
                 }
             }
-            result = await extractor._extract_special_attributes_from_ad_page()
+            result = await extractor._extract_special_attributes_from_ad_page(mock_web_execute.return_value)
             assert result == {}
 
+    @pytest.mark.asyncio
+    # pylint: disable=protected-access
+    async def test_extract_special_attributes_not_empty(self, extractor: AdExtractor) -> None:
+        """Test extraction of special attributes when not empty."""
+
+        special_atts = {
+            "universalAnalyticsOpts": {
+                "dimensions": {
+                    "dimension108": "versand_s:t|color_s:creme|groesse_s:68|condition_s:alright|type_s:accessoires|art_s:maedchen"
+                }
+            }
+        }
+        result = await extractor._extract_special_attributes_from_ad_page(special_atts)
+        assert len(result) == 5
+        assert "versand_s" not in result
+        assert "color_s" in result
+        assert result["color_s"] == "creme"
+        assert "groesse_s" in result
+        assert result["groesse_s"] == "68"
+        assert "condition_s" in result
+        assert result["condition_s"] == "alright"
+        assert "type_s" in result
+        assert result["type_s"] == "accessoires"
+        assert "art_s" in result
+        assert result["art_s"] == "maedchen"
+
 
 class TestAdExtractorContact:
     """Tests for contact information extraction."""