diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index 2ce104a..91214c9 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -43,6 +43,12 @@ jobs:
           echo "KIS_APP_KEY=${{ secrets.KIS_APP_KEY}}" >> .env
           echo "KIS_SECRECT_KEY=${{ secrets.KIS_SECRECT_KEY }}" >> .env
           echo "PORT=${{ secrets.PORT }}" >> .env
+          echo "INSTA_UID_KEY=${{ secrets.INSTA_UID_KEY }}" >> .env
+          echo "INSTA_KEY=${{ secrets.INSTA_KEY }}" >> .env
+          echo "NAVER_ID=${{ secrets.NAVER_ID }}" >> .env
+          echo "NAVER_SECRET=${{ secrets.NAVER_SECRET }}" >> .env
+          echo "YOUTUBE_KEY=${{ secrets.YOUTUBE_KEY }}" >> .env
+          echo "INSTA_IP=${{ secrets.INSTA_IP }}" >> .env
 
       # Build step removed since there is no build script
 
diff --git a/src/routes/instagram-news.js b/src/routes/instagram-news.js
index 81ff3a4..83a9dcb 100644
--- a/src/routes/instagram-news.js
+++ b/src/routes/instagram-news.js
@@ -19,7 +19,6 @@ const fetchData = async (url) => {
       thumbnail_url: null,
       url: `https://www.instagram.com/p/${post.postCode}`,
     }));
-    console.log(formattedData);
     return formattedData;
   } catch (error) {
     console.error(error);
@@ -49,7 +48,6 @@ router.get("/", async (req, res) => {
       cache = await cacheController.getCache(keyword, social, 0);
     }
     posts = JSON.parse(cache.dataValues.data);
-    console.log("fff", posts);
     res.json(posts);
   } catch (err) {
     console.error("Error fetching Instagram posts:", err);
diff --git a/src/scripts/get_similar_words.py b/src/scripts/get_similar_words.py
index 300c534..1ab4021 100644
--- a/src/scripts/get_similar_words.py
+++ b/src/scripts/get_similar_words.py
@@ -42,11 +42,12 @@
     model = Word2Vec.load('src/scripts/word2vec_model.model')
 
     results = []
-    
+    shinhan = ['신한', '신한투자증권', 'SOL', '신한투자']
     for index, row in df.iterrows():  # 각 행에 대해 반복
         
             name = row['name']
             code = row['code']
+            
             try:
                 similarity = model.wv.similarity(word, name)
                 results.append({"name": name, "code": code, "similarity": similarity})
@@ -54,6 +55,11 @@
                 results.append({"name": name, "code": code, "similarity": 0})
 
 
+    if word in shinhan:
+        for result in results:
+            if result["name"] == "신한지주":
+                result["similarity"] = 1
+                
     results = sorted(results, key=lambda x: x['similarity'], reverse=True)
     for result in results:
         result['similarity'] = str(result['similarity'])