diff --git a/app/utils/nvMapPwScraper.py b/app/utils/nvMapPwScraper.py
index dde73f5..c93b5ec 100644
--- a/app/utils/nvMapPwScraper.py
+++ b/app/utils/nvMapPwScraper.py
@@ -105,6 +105,37 @@ patchedGetter.toString();''')
     def _similarity(a: str, b: str) -> float:
         return SequenceMatcher(None, a, b).ratio()
 
+    @staticmethod
+    def _refine_address(address: str) -> str:
+        """한국 주소 패턴에서 첫 번째 유효한 주소만 추출한다."""
+        patterns = [
+            # 도로명 (정식): 경기도 가평군 운악로 278
+            re.compile(
+                r'[가-힣]+(?:특별시|광역시|특별자치시|도|특별자치도|시)\s+'
+                r'[가-힣\s]+?(?:로|길|대로)\s+\d+(?:-\d+)?'
+            ),
+            # 지번 (정식): 경기도 가평군 조종면 운악리 278
+            re.compile(
+                r'[가-힣]+(?:특별시|광역시|특별자치시|도|특별자치도|시)\s+'
+                r'[가-힣\s]+?(?:읍|면|동|리|가)\s+\d+(?:-\d+)?'
+            ),
+            # 도로명 (축약): 경기 가평 운악로 278
+            re.compile(
+                r'[가-힣]{1,4}\s+[가-힣]{1,6}\s+'
+                r'[가-힣\s]+?(?:로|길|대로)\s+\d+(?:-\d+)?'
+            ),
+            # 지번 (축약): 경기 가평 조종면 운악리 278
+            re.compile(
+                r'[가-힣]{1,4}\s+[가-힣]{1,6}\s+'
+                r'[가-힣\s]+?(?:읍|면|동|리|가)\s+\d+(?:-\d+)?'
+            ),
+        ]
+        for pattern in patterns:
+            m = pattern.search(address)
+            if m:
+                return m.group().strip()
+        return address
+
     async def _extract_candidates_from_list_page(self) -> list[dict]:
         """pcmap.place.naver.com iframe HTML에서 place ID와 업체명을 추출한다."""
         pcmap_frame = None
@@ -150,52 +181,70 @@ patchedGetter.toString();''')
         logger.debug(f"[DEBUG] 목록 후보 {len(candidates)}개 추출")
         return candidates
 
-    async def get_place_id_url(self, selected):
-        count = 0
-        title = self._clean_title(selected['title'])
-        address = self._clean_title(selected.get('roadAddress', selected['address']))
-        encoded_query = parse.quote(f"{address} {title}")
+    async def _try_search(self, address: str, title: str) -> str | None:
+        """주어진 주소+업체명으로 검색해서 place URL을 반환한다. 실패 시 None."""
+        encoded_query = parse.quote(f"{address} {title}".strip())
         url = f"https://map.naver.com/p/search/{encoded_query}"
 
-        while count <= self._max_retry:
-            try:
-                await self.goto_url(url, wait_until="networkidle", timeout=self._timeout * 1000)
-            except:
-                if "/place/" in self.page.url:
-                    return self.page.url
-                logger.error("[ERROR] Can't Finish networkidle")
-
-            logger.debug(f"[DEBUG] Try {count+1} : current url = {self.page.url}")
-
+        try:
+            await self.goto_url(url, wait_until="networkidle", timeout=self._timeout * 1000)
+        except:
             if "/place/" in self.page.url:
                 return self.page.url
+            logger.error("[ERROR] Can't Finish networkidle")
 
-            # 목록 페이지에 머문 경우 — 후보 추출 후 유사도 선택
-            candidates = await self._extract_candidates_from_list_page()
-            if candidates:
-                best = max(
-                    candidates,
-                    key=lambda c: self._similarity(title, self._clean_title(c['title']))
-                )
-                best_score = self._similarity(title, self._clean_title(best['title']))
-                logger.info(
-                    f"[AUTO-SELECT] '{title}' → '{best['title']}' (score={best_score:.2f}) {best['place_url']}"
-                )
-                return best['place_url']
+        if "/place/" in self.page.url:
+            return self.page.url
 
-            # isCorrectAnswer 플래그 재시도
-            url = self.page.url.replace("?", "?isCorrectAnswer=true&")
-            try:
-                await self.goto_url(url, wait_until="networkidle", timeout=self._timeout * 1000)
-            except:
-                if "/place/" in self.page.url:
-                    return self.page.url
-                logger.error("[ERROR] Can't Finish networkidle")
+        candidates = await self._extract_candidates_from_list_page()
+        if candidates:
+            best = max(
+                candidates,
+                key=lambda c: self._similarity(title, self._clean_title(c['title']))
+            )
+            best_score = self._similarity(title, self._clean_title(best['title']))
+            logger.info(
+                f"[AUTO-SELECT] '{title}' → '{best['title']}' (score={best_score:.2f}) {best['place_url']}"
+            )
+            return best['place_url']
 
+        # isCorrectAnswer=true 로 강제 단일결과 재시도 (원본 로직 유지)
+        correct_url = self.page.url.replace("?", "?isCorrectAnswer=true&")
+        try:
+            await self.goto_url(correct_url, wait_until="networkidle", timeout=self._timeout * 1000)
+        except:
             if "/place/" in self.page.url:
                 return self.page.url
+            logger.error("[ERROR] Can't Finish networkidle (isCorrectAnswer)")
 
-            count += 1
+        if "/place/" in self.page.url:
+            return self.page.url
+
+        return None
+
+    async def get_place_id_url(self, selected):
+        title = self._clean_title(selected['title'])
+        address = self._clean_title(selected.get('roadAddress', selected['address']))
+
+        # 1차 시도: 원본 주소 + 업체명
+        logger.debug(f"[DEBUG] 1차 시도 - address: {address}")
+        result = await self._try_search(address, title)
+        if result:
+            return result
+
+        # 2차 시도: 정제 주소 + 업체명
+        refined = self._refine_address(address)
+        if refined != address:
+            logger.info(f"[REFINE] 주소 정제: '{address}' → '{refined}'")
+            result = await self._try_search(refined, title)
+            if result:
+                return result
+
+        # 3차 시도: 업체명만으로 검색
+        logger.info(f"[RETRY] 업체명만으로 재시도: '{title}'")
+        result = await self._try_search("", title)
+        if result:
+            return result
 
         logger.error(f"[ERROR] Not found url for {selected}")
         return None