diff --git a/data_fetcher/brscraper.py b/data_fetcher/brscraper.py
new file mode 100644
index 0000000..41c61f7
--- /dev/null
+++ b/data_fetcher/brscraper.py
@@ -0,0 +1,38 @@
+import requests
+from bs4 import BeautifulSoup
+
+class BlueRibbonSurveryScraper:
+    def scrape(self):
+        base_url = "https://www.bluer.co.kr/api/v1/restaurants?page={}&size=30&query=&foodType=&foodTypeDetail=&feature=&location=&locationDetail=&area=&areaDetail=&priceRange=&ribbonType=&recommended=false&isSearchName=false&tabMode=single&searchMode=map&zone1=%EC%84%9C%EC%9A%B8%20%EA%B0%95%EB%B6%81&zone2=%ED%99%8D%EB%8C%80%EC%95%9E%2F%EC%84%9C%EA%B5%90%EB%8F%99&zone2Lat=37.553335937996756&zone2Lng=126.92488217617958"
+
+        restaurant_list = []
+        page = 0
+
+        while True:
+            response = requests.get(base_url.format(page))
+            if response.status_code == 200:
+                data = response.json()
+                if not data["_embedded"]["restaurants"]:
+                    break
+
+                for restaurant_data in data["_embedded"]["restaurants"]:
+                    restaurant = {
+                        "name": restaurant_data["headerInfo"]["nameKR"],
+                        "phone": restaurant_data["defaultInfo"]["phone"],
+                        "description": restaurant_data["review"]["review"],
+                        "image_url": f"https://www.bluer.co.kr{restaurant_data['firstImage']['url']}"
+                    }
+                    restaurant_list.append(restaurant)
+
+                page += 1
+            else:
+                print("Failed to fetch data.")
+                break
+
+        return restaurant_list
+
+scraper = BlueRibbonSurveryScraper()
+restaurant_list = scraper.scrape()
+
+for restaurant in restaurant_list:
+    print(restaurant)