diff --git a/.gitignore b/.gitignore
index 83ef291..e60be01 100644
--- a/.gitignore
+++ b/.gitignore
@@ -42,3 +42,5 @@ Thumbs.db
 
 # Alembic
 alembic/versions/*.pyc
+
+test_results/
\ No newline at end of file
diff --git a/README.md b/README.md
index e69de29..3df933f 100644
--- a/README.md
+++ b/README.md
@@ -0,0 +1,15 @@
+# o2o-infinith-backend
+
+## 설치
+
+**Docker**
+
+```bash
+curl -fsSL https://get.docker.com | sh
+```
+
+## 실행
+
+```bash
+docker compose up -d
+```
\ No newline at end of file
diff --git a/SQL/db_create.sql b/SQL/db_create.sql
new file mode 100644
index 0000000..47b71b0
--- /dev/null
+++ b/SQL/db_create.sql
@@ -0,0 +1,100 @@
+-- 테이블 순서는 관계를 고려하여 한 번에 실행해도 에러가 발생하지 않게 정렬되었습니다.
+
+-- instagram_data Table Create SQL
+-- 테이블 생성 SQL - instagram_data
+CREATE TABLE instagram_data
+(
+    `id`           INT             NOT NULL    AUTO_INCREMENT, 
+    `hospital_id`  INT             NOT NULL, 
+    `url`          VARCHAR(500)    NOT NULL, 
+    `raw_data`     JSON            NULL, 
+    `created_at`   TIMESTAMP       NOT NULL    DEFAULT CURRENT_TIMESTAMP, 
+     PRIMARY KEY (id)
+);
+
+-- Index 설정 SQL - instagram_data(hospital_id)
+CREATE INDEX IX_instagram_data_1
+    ON instagram_data(hospital_id);
+
+
+-- facebook_data Table Create SQL
+-- 테이블 생성 SQL - facebook_data
+CREATE TABLE facebook_data
+(
+    `id`           INT             NOT NULL    AUTO_INCREMENT, 
+    `hospital_id`  INT             NOT NULL, 
+    `url`          VARCHAR(500)    NOT NULL, 
+    `raw_data`     JSON            NULL, 
+    `created_at`   TIMESTAMP       NOT NULL    DEFAULT CURRENT_TIMESTAMP, 
+     PRIMARY KEY (id)
+);
+
+-- Index 설정 SQL - facebook_data(hospital_id)
+CREATE INDEX IX_facebook_data_1
+    ON facebook_data(hospital_id);
+
+
+-- naver_blog_data Table Create SQL
+-- 테이블 생성 SQL - naver_blog_data
+CREATE TABLE naver_blog_data
+(
+    `id`           INT             NOT NULL    AUTO_INCREMENT, 
+    `hospital_id`  INT             NOT NULL, 
+    `url`          VARCHAR(500)    NOT NULL, 
+    `raw_data`     JSON            NULL, 
+    `created_at`   TIMESTAMP       NOT NULL    DEFAULT CURRENT_TIMESTAMP, 
+     PRIMARY KEY (id)
+);
+
+-- Index 설정 SQL - naver_blog_data(hospital_id)
+CREATE INDEX IX_naver_blog_data_1
+    ON naver_blog_data(hospital_id);
+
+
+-- hospital_baseinfo Table Create SQL
+-- 테이블 생성 SQL - hospital_baseinfo
+CREATE TABLE hospital_baseinfo
+(
+    `hospital_id`    INT             NOT NULL    AUTO_INCREMENT, 
+    `owner_user_id`  INT             NOT NULL, 
+    `hospital_name`  VARCHAR(50)     NOT NULL, 
+    `brn`            VARCHAR(50)     NOT NULL, 
+    `road_address`   VARCHAR(100)    NULL, 
+    `site_address`   VARCHAR(100)    NULL, 
+    `created_at`     TIMESTAMP       NOT NULL    DEFAULT CURRENT_TIMESTAMP, 
+    `updated_at`     TIMESTAMP       NOT NULL    DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, 
+     PRIMARY KEY (hospital_id)
+);
+
+-- Index 설정 SQL - hospital_baseinfo(owner_user_id)
+CREATE INDEX IX_hospital_baseinfo_1
+    ON hospital_baseinfo(owner_user_id);
+
+
+-- user_info Table Create SQL
+-- 테이블 생성 SQL - user_info
+CREATE TABLE user_info
+(
+    `user_id`     INT            NOT NULL    AUTO_INCREMENT, 
+    `username`    VARCHAR(50)    NOT NULL, 
+    `password`    VARCHAR(50)    NOT NULL, 
+    `created_at`  TIMESTAMP      NOT NULL    DEFAULT CURRENT_TIMESTAMP, 
+    `updated_at`  TIMESTAMP      NOT NULL    DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, 
+     PRIMARY KEY (user_id)
+);
+
+-- youtube_data Table Create SQL
+CREATE TABLE youtube_data
+(
+    `id`           INT             NOT NULL    AUTO_INCREMENT,
+    `hospital_id`  INT             NOT NULL,
+    `url`          VARCHAR(500)    NOT NULL,
+    `raw_data`     JSON            NULL,
+    `created_at`   TIMESTAMP       NOT NULL    DEFAULT CURRENT_TIMESTAMP,
+     PRIMARY KEY (id)
+);
+
+-- Index 설정 SQL - youtube_data(hospital_id)
+CREATE INDEX IX_youtube_data_1
+    ON youtube_data(hospital_id);
+
diff --git a/app/common/utils.py b/app/common/utils.py
new file mode 100644
index 0000000..e2d6be2
--- /dev/null
+++ b/app/common/utils.py
@@ -0,0 +1,82 @@
+import os
+import re
+import asyncio
+from http import HTTPMethod
+import httpx
+
+REQUEST_TIMEOUT = 60
+
+
+def get_env(key: str) -> str:
+    v = os.environ.get(key, "")
+    if not v:
+        raise EnvironmentError(f"Missing env: {key}")
+    return v
+
+async def http_request(
+    method: HTTPMethod,
+    url: str,
+    *,
+    label: str,
+    headers: dict | None = None,
+    params: dict | None = None,
+    json_body: dict | None = None,
+    timeout: int = REQUEST_TIMEOUT,
+    max_retries: int = 0,
+) -> httpx.Response | None:
+    async with httpx.AsyncClient() as client:
+        for attempt in range(max_retries + 1):
+            try:
+                resp = await client.request(method, url, headers=headers, params=params, json=json_body, timeout=timeout)
+                return resp
+            except httpx.RequestError as e:
+                if attempt < max_retries:
+                    print(f"  [retry] {label} → {e}, attempt {attempt + 1}")
+                    await asyncio.sleep((attempt + 1) * 2)
+                else:
+                    print(f"  [error] {label} → {e}")
+                    return None
+    return None
+
+
+_SKIP_IG = {"p", "reel", "stories", "explore", "accounts", "about", "directory"}
+_SKIP_FB = {"sharer", "share", "dialog", "plugins", "groups", "events", "watch", "help"}
+
+
+def extract_social_handles(urls: list[str]) -> dict[str, list[str]]:
+    result: dict[str, list[str]] = {"instagram": [], "youtube": [], "facebook": [], "naver_blog": [], "tiktok": []}
+
+    for url in urls:
+        if not url:
+            continue
+        m = re.search(r"instagram\.com/([a-zA-Z0-9._]+)", url)
+        if m and m.group(1).lower() not in _SKIP_IG:
+            result["instagram"].append(m.group(1))
+
+        m = re.search(r"youtube\.com/(?:@([a-zA-Z0-9._-]+)|channel/(UC[a-zA-Z0-9_-]+)|c/([a-zA-Z0-9._-]+))", url)
+        if m:
+            result["youtube"].append(f"@{m.group(1)}" if m.group(1) else (m.group(2) or m.group(3) or ""))
+
+        m = re.search(r"facebook\.com/([a-zA-Z0-9._-]+)", url)
+        if m and m.group(1).lower() not in _SKIP_FB:
+            result["facebook"].append(m.group(1))
+
+        m = re.search(r"blog\.naver\.com/([a-zA-Z0-9_-]+)", url)
+        if m:
+            result["naver_blog"].append(m.group(1))
+
+        m = re.search(r"tiktok\.com/@([a-zA-Z0-9._-]+)", url)
+        if m:
+            result["tiktok"].append(m.group(1))
+
+    return {k: list(set(v)) for k, v in result.items()}
+
+
+def normalize_handle(platform: str, value: str) -> str:
+    """URL이 들어오면 핸들을 추출하고, 이미 핸들이면 그대로 반환."""
+    if not value:
+        return value
+    if "://" in value or value.startswith("www."):
+        handles = extract_social_handles([value]).get(platform, [])
+        value = handles[0] if handles else value
+    return value.lstrip("@") if platform != "youtube" else value
diff --git a/app/integrations/__init__.py b/app/integrations/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/app/integrations/apify.py b/app/integrations/apify.py
new file mode 100644
index 0000000..f2bf76a
--- /dev/null
+++ b/app/integrations/apify.py
@@ -0,0 +1,145 @@
+from http import HTTPMethod
+from common.utils import http_request
+
+APIFY_BASE = "https://api.apify.com/v2"
+
+
+class ApifyClient:
+    def __init__(self, token: str, wait_for_finish: int = 120):
+        self.token = token
+        self.wait_for_finish = wait_for_finish
+
+    async def _run_actor(self, actor_id: str, input_data: dict) -> list[dict]:
+        resp = await http_request(
+            HTTPMethod.POST,
+            url=f"{APIFY_BASE}/acts/{actor_id}/runs",
+            params={"token": self.token, "waitForFinish": self.wait_for_finish},
+            headers={"Content-Type": "application/json"},
+            json_body=input_data,
+            timeout=self.wait_for_finish + 10,
+            label=f"apify:{actor_id.split('~')[-1]}",
+        )
+        if not resp or not resp.is_success:
+            return []
+        dataset_id = resp.json()["data"]["defaultDatasetId"]
+        items_resp = await http_request(
+            HTTPMethod.GET,
+            url=f"{APIFY_BASE}/datasets/{dataset_id}/items",
+            params={"token": self.token, "limit": 20},
+            label=f"apify-dataset-{dataset_id}",
+        )
+        if not items_resp or not items_resp.is_success:
+            return []
+        return items_resp.json()
+
+    async def fetch_instagram_profile(self, handle: str) -> dict | None:
+        items = await self._run_actor("apify~instagram-profile-scraper", {"usernames": [handle], "resultsLimit": 12})
+        return items[0] if items else None
+
+    async def get_instagram_profile(self, handle: str) -> dict | None:
+        profile = await self.fetch_instagram_profile(handle)
+        if not profile or profile.get("error"):
+            return None
+        return {
+            "username": profile["username"],
+            "followers": profile.get("followersCount", 0),
+            "following": profile.get("followsCount", 0),
+            "posts": profile.get("postsCount", 0),
+            "bio": profile.get("biography", ""),
+            "isBusinessAccount": profile.get("isBusinessAccount", False),
+            "externalUrl": profile.get("externalUrl"),
+            "latestPosts": [
+                {
+                    "type": p.get("type"),
+                    "likes": p.get("likesCount", 0),
+                    "comments": p.get("commentsCount", 0),
+                    "caption": (p.get("caption") or "")[:500],
+                    "timestamp": p.get("timestamp"),
+                }
+                for p in (profile.get("latestPosts") or [])[:12]
+            ],
+        }
+
+    async def fetch_instagram_posts(self, handle: str, limit: int = 20) -> list[dict]:
+        clean = handle.lstrip("@")
+        return await self._run_actor("apify~instagram-post-scraper", {
+            "directUrls": [f"https://www.instagram.com/{clean}/"],
+            "resultsLimit": limit,
+        })
+
+    async def get_instagram_posts(self, handle: str, limit: int = 20) -> dict:
+        items = await self.fetch_instagram_posts(handle, limit)
+        posts = [
+            {
+                "id": p["id"],
+                "type": p.get("type"),
+                "url": p.get("url"),
+                "caption": (p.get("caption") or "")[:500],
+                "hashtags": p.get("hashtags", []),
+                "likesCount": p.get("likesCount", 0),
+                "commentsCount": p.get("commentsCount", 0),
+                "timestamp": p.get("timestamp"),
+            }
+            for p in items
+        ]
+        n = len(posts) or 1
+        return {
+            "posts": posts,
+            "totalPosts": len(posts),
+            "avgLikes": round(sum(p["likesCount"] for p in posts) / n),
+            "avgComments": round(sum(p["commentsCount"] for p in posts) / n),
+        }
+
+    async def fetch_instagram_reels(self, handle: str, limit: int = 15) -> list[dict]:
+        clean = handle.lstrip("@")
+        return await self._run_actor("apify~instagram-reel-scraper", {
+            "directUrls": [f"https://www.instagram.com/{clean}/reels/"],
+            "resultsLimit": limit,
+        })
+
+    async def get_instagram_reels(self, handle: str, limit: int = 15) -> dict:
+        items = await self.fetch_instagram_reels(handle, limit)
+        reels = [
+            {
+                "id": r["id"],
+                "url": r.get("url"),
+                "caption": (r.get("caption") or "")[:500],
+                "hashtags": r.get("hashtags", []),
+                "likesCount": r.get("likesCount", 0),
+                "commentsCount": r.get("commentsCount", 0),
+                "videoViewCount": r.get("videoViewCount", 0),
+                "videoPlayCount": r.get("videoPlayCount", 0),
+                "videoDuration": r.get("videoDuration", 0),
+                "timestamp": r.get("timestamp"),
+            }
+            for r in items
+        ]
+        n = len(reels) or 1
+        return {
+            "reels": reels,
+            "totalReels": len(reels),
+            "avgViews": round(sum(r["videoViewCount"] for r in reels) / n),
+            "avgPlays": round(sum(r["videoPlayCount"] for r in reels) / n),
+        }
+
+    async def fetch_facebook_page(self, page_url: str) -> dict | None:
+        items = await self._run_actor("apify~facebook-pages-scraper", {"startUrls": [{"url": page_url}]})
+        return items[0] if items else None
+
+    async def get_facebook_page(self, page_url: str) -> dict | None:
+        page = await self.fetch_facebook_page(page_url)
+        if not page:
+            return None
+        return {
+            "pageName": page["title"],
+            "pageUrl": page.get("pageUrl", page_url),
+            "followers": page.get("followers", 0),
+            "likes": page.get("likes", 0),
+            "categories": page.get("categories", []),
+            "email": page.get("email"),
+            "phone": page.get("phone"),
+            "website": page.get("website"),
+            "address": page.get("address"),
+            "intro": page.get("intro"),
+            "rating": page.get("rating"),
+        }
diff --git a/app/integrations/firecrawl.py b/app/integrations/firecrawl.py
new file mode 100644
index 0000000..f50503d
--- /dev/null
+++ b/app/integrations/firecrawl.py
@@ -0,0 +1,128 @@
+from http import HTTPMethod
+from common.utils import get_env, http_request
+
+FIRECRAWL_BASE = "https://api.firecrawl.dev/v1"
+
+
+class FirecrawlClient:
+    def __init__(self, api_key: str):
+        self.api_key = api_key
+
+    def _headers(self) -> dict:
+        return {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"}
+
+    async def scrape(self, url: str, json_options: dict, wait_for: int = 5000) -> dict | None:
+        resp = await http_request(
+            HTTPMethod.POST,
+            url=f"{FIRECRAWL_BASE}/scrape",
+            headers=self._headers(),
+            json_body={"url": url, "formats": ["json", "links"], "jsonOptions": json_options, "waitFor": wait_for},
+            label="firecrawl-scrape",
+        )
+        if not resp or not resp.is_success:
+            return None
+        return resp.json().get("data")
+
+    async def map(self, url: str, limit: int = 50) -> list[str]:
+        resp = await http_request(
+            HTTPMethod.POST,
+            url=f"{FIRECRAWL_BASE}/map",
+            headers=self._headers(),
+            json_body={"url": url, "limit": limit},
+            label="firecrawl-map",
+        )
+        if not resp or not resp.is_success:
+            return []
+        return resp.json().get("links", [])
+
+    async def search(self, query: str, limit: int = 5) -> list[dict]:
+        resp = await http_request(
+            HTTPMethod.POST,
+            url=f"{FIRECRAWL_BASE}/search",
+            headers=self._headers(),
+            json_body={"query": query, "limit": limit},
+            label="firecrawl-search",
+        )
+        if not resp or not resp.is_success:
+            return []
+        return resp.json().get("data", [])
+
+    async def fetch_social_buttons(self, url: str) -> list[dict]:
+        data = await self.scrape(url, {
+            "prompt": "Find ALL social media link URLs on this page — header, footer, sidebar, floating buttons. Extract actual href URLs for: Instagram, YouTube, Facebook, TikTok, Naver Blog, KakaoTalk.",
+            "schema": {
+                "type": "object",
+                "properties": {
+                    "socialLinks": {
+                        "type": "array",
+                        "items": {
+                            "type": "object",
+                            "properties": {"platform": {"type": "string"}, "url": {"type": "string"}},
+                        },
+                    },
+                },
+            },
+        })
+        if not data:
+            return []
+        return (data.get("json") or {}).get("socialLinks", [])
+
+    async def fetch_gangnam_unni(self, hospital_url: str) -> dict | None:
+        resp = await http_request(
+            HTTPMethod.POST,
+            url=f"{FIRECRAWL_BASE}/scrape",
+            headers=self._headers(),
+            json_body={
+                "url": hospital_url,
+                "formats": ["json"],
+                "jsonOptions": {
+                    "prompt": "Extract: hospital name, overall rating (out of 10), total review count, doctors with names/ratings/review counts/specialties, procedures, address, badges",
+                    "schema": {
+                        "type": "object",
+                        "properties": {
+                            "hospitalName": {"type": "string"},
+                            "rating": {"type": "number"},
+                            "totalReviews": {"type": "number"},
+                            "doctors": {
+                                "type": "array",
+                                "items": {
+                                    "type": "object",
+                                    "properties": {
+                                        "name": {"type": "string"},
+                                        "rating": {"type": "number"},
+                                        "reviews": {"type": "number"},
+                                        "specialty": {"type": "string"},
+                                    },
+                                },
+                            },
+                            "procedures": {"type": "array", "items": {"type": "string"}},
+                            "address": {"type": "string"},
+                            "badges": {"type": "array", "items": {"type": "string"}},
+                        },
+                    },
+                },
+                "waitFor": 5000,
+            },
+            timeout=60,
+            label="firecrawl-gangnamunni",
+        )
+        if not resp or not resp.is_success:
+            return None
+        raw = (resp.json().get("data") or {}).get("json")
+        return {"sourceUrl": hospital_url, **raw} if raw else None
+
+    async def get_gangnam_unni(self, hospital_url: str) -> dict | None:
+        raw = await self.fetch_gangnam_unni(hospital_url)
+        if not raw or not raw.get("hospitalName"):
+            return None
+        return {
+            "name": raw["hospitalName"],
+            "rating": raw.get("rating"),
+            "ratingScale": "/10",
+            "totalReviews": raw.get("totalReviews", 0),
+            "doctors": (raw.get("doctors") or [])[:10],
+            "procedures": raw.get("procedures", []),
+            "address": raw.get("address", ""),
+            "badges": raw.get("badges", []),
+            "sourceUrl": raw["sourceUrl"],
+        }
diff --git a/app/integrations/google_places.py b/app/integrations/google_places.py
new file mode 100644
index 0000000..9a6ff6b
--- /dev/null
+++ b/app/integrations/google_places.py
@@ -0,0 +1,61 @@
+from http import HTTPMethod
+from common.utils import http_request
+
+PLACES_BASE = "https://places.googleapis.com/v1"
+FIELD_MASK = ",".join([
+    "places.id", "places.displayName", "places.formattedAddress",
+    "places.rating", "places.userRatingCount",
+    "places.internationalPhoneNumber", "places.websiteUri",
+    "places.googleMapsUri", "places.primaryTypeDisplayName",
+    "places.regularOpeningHours", "places.reviews",
+])
+
+
+class GooglePlacesClient:
+    def __init__(self, api_key: str):
+        self.api_key = api_key
+
+    def _headers(self) -> dict:
+        return {
+            "Content-Type": "application/json",
+            "X-Goog-Api-Key": self.api_key,
+            "X-Goog-FieldMask": FIELD_MASK,
+        }
+
+    async def fetch_place(self, query: str) -> dict | None:
+        resp = await http_request(
+            HTTPMethod.POST,
+            url=f"{PLACES_BASE}/places:searchText",
+            headers=self._headers(),
+            json_body={"textQuery": query, "languageCode": "ko", "regionCode": "KR", "maxResultCount": 3},
+            timeout=15,
+            label="google-places",
+        )
+        if not resp or not resp.is_success:
+            return None
+        places = resp.json().get("places", [])
+        return places[0] if places else None
+
+    async def get_place(self, query: str) -> dict | None:
+        p = await self.fetch_place(query)
+        if not p:
+            return None
+        return {
+            "name": (p.get("displayName") or {}).get("text", ""),
+            "rating": p.get("rating"),
+            "reviewCount": p.get("userRatingCount", 0),
+            "address": p.get("formattedAddress", ""),
+            "phone": p.get("internationalPhoneNumber", ""),
+            "clinicWebsite": p.get("websiteUri", ""),
+            "mapsUrl": p.get("googleMapsUri", ""),
+            "placeId": p.get("id", ""),
+            "category": (p.get("primaryTypeDisplayName") or {}).get("text", ""),
+            "topReviews": [
+                {
+                    "stars": r.get("rating", 0),
+                    "text": ((r.get("text") or {}).get("text", ""))[:500],
+                    "date": r.get("publishTime", ""),
+                }
+                for r in (p.get("reviews") or [])[:10]
+            ],
+        }
diff --git a/app/integrations/llm/__init__.py b/app/integrations/llm/__init__.py
new file mode 100644
index 0000000..4a857dd
--- /dev/null
+++ b/app/integrations/llm/__init__.py
@@ -0,0 +1,3 @@
+from .service import LLMService
+from .prompt import Prompt
+
diff --git a/app/integrations/llm/prompt.py b/app/integrations/llm/prompt.py
new file mode 100644
index 0000000..1e3f04a
--- /dev/null
+++ b/app/integrations/llm/prompt.py
@@ -0,0 +1,19 @@
+from pydantic import BaseModel
+
+
+class Prompt:
+    def __init__(
+        self,
+        template: str,
+        model: str,
+        input_class: type[BaseModel],
+        output_class: type[BaseModel],
+    ):
+        self.template = template
+        self.model = model
+        self.input_class = input_class
+        self.output_class = output_class
+
+    def build(self, input_data: dict) -> str:
+        verified = self.input_class(**input_data)
+        return self.template.format(**verified.model_dump())
diff --git a/app/integrations/llm/schemas/__init__.py b/app/integrations/llm/schemas/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/app/integrations/llm/service.py b/app/integrations/llm/service.py
new file mode 100644
index 0000000..f554470
--- /dev/null
+++ b/app/integrations/llm/service.py
@@ -0,0 +1,61 @@
+from pydantic import BaseModel
+from openai import AsyncOpenAI
+from common.utils import get_env
+from .prompt import Prompt
+
+
+class LLMResponseError(Exception):
+    def __init__(self, status: str, code: str = None, message: str = None):
+        self.status = status
+        self.code = code
+        self.message = message
+        super().__init__(f"LLM response failed: status={status}, code={code}, message={message}")
+
+
+class LLMService:
+    def __init__(self, provider: str = "openai", max_retries: int = 2):
+        self.max_retries = max_retries
+        match provider:
+            case "openai":
+                self.client = AsyncOpenAI(api_key=get_env("OPENAI_API_KEY"))
+            case "perplexity":
+                self.client = AsyncOpenAI(
+                    api_key=get_env("PERPLEXITY_API_KEY"),
+                    base_url="https://api.perplexity.ai",
+                )
+            case "gemini":
+                self.client = AsyncOpenAI(
+                    api_key=get_env("GEMINI_API_KEY"),
+                    base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
+                )
+            case _:
+                raise NotImplementedError(f"Unknown provider: {provider}")
+
+    async def generate(
+        self,
+        prompt: Prompt,
+        input_data: dict,
+    ) -> BaseModel:
+        prompt_text = prompt.build(input_data)
+        last_error = None
+
+        for attempt in range(self.max_retries + 1):
+            response = await self.client.beta.chat.completions.parse(
+                model=prompt.model,
+                messages=[{"role": "user", "content": prompt_text}],
+                response_format=prompt.output_class,
+            )
+            choice = response.choices[0]
+            finish_reason = choice.finish_reason
+
+            if finish_reason == "stop":
+                return choice.message.parsed
+
+            if finish_reason == "length":
+                last_error = LLMResponseError("incomplete", finish_reason, "max tokens reached")
+            elif finish_reason == "content_filter":
+                last_error = LLMResponseError("failed", finish_reason, "blocked by content filter")
+            else:
+                last_error = LLMResponseError("failed", finish_reason, f"unexpected finish_reason: {finish_reason}")
+
+        raise last_error
diff --git a/app/integrations/naver.py b/app/integrations/naver.py
new file mode 100644
index 0000000..e28371f
--- /dev/null
+++ b/app/integrations/naver.py
@@ -0,0 +1,89 @@
+import re
+from http import HTTPMethod
+from common.utils import http_request
+
+NAVER_BASE = "https://openapi.naver.com/v1/search"
+
+
+class NaverClient:
+    def __init__(self, client_id: str, client_secret: str):
+        self.client_id = client_id
+        self.client_secret = client_secret
+
+    def _headers(self) -> dict:
+        return {
+            "X-Naver-Client-Id": self.client_id,
+            "X-Naver-Client-Secret": self.client_secret,
+        }
+
+    async def fetch_blog_search(self, query: str, display: int = 5) -> list[dict]:
+        resp = await http_request(
+            HTTPMethod.GET,
+            url=f"{NAVER_BASE}/blog.json",
+            headers=self._headers(),
+            params={"query": query, "display": display, "sort": "sim"},
+            label="naver-blog",
+        )
+        if not resp or not resp.is_success:
+            return []
+        return resp.json().get("items", [])
+
+    async def fetch_web_search(self, query: str, display: int = 10) -> list[dict]:
+        resp = await http_request(
+            HTTPMethod.GET,
+            url=f"{NAVER_BASE}/webkr.json",
+            headers=self._headers(),
+            params={"query": query, "display": display},
+            label="naver-web",
+        )
+        if not resp or not resp.is_success:
+            return []
+        return resp.json().get("items", [])
+
+    async def fetch_local_search(self, query: str, display: int = 5) -> list[dict]:
+        resp = await http_request(
+            HTTPMethod.GET,
+            url=f"{NAVER_BASE}/local.json",
+            headers=self._headers(),
+            params={"query": query, "display": display, "sort": "comment"},
+            label="naver-local",
+        )
+        if not resp or not resp.is_success:
+            return []
+        return resp.json().get("items", [])
+
+    async def fetch_blog_rss(self, blog_handle: str) -> str | None:
+        resp = await http_request(
+            HTTPMethod.GET,
+            url=f"https://rss.blog.naver.com/{blog_handle}.xml",
+            timeout=15,
+            label="naver-rss",
+        )
+        if not resp or not resp.is_success:
+            return None
+        return resp.text
+
+    async def get_blog_rss(self, blog_handle: str) -> dict | None:
+        xml = await self.fetch_blog_rss(blog_handle)
+        if not xml:
+            return None
+        posts = []
+        for m in re.finditer(r"<item>([\s\S]*?)</item>", xml):
+            block = m.group(1)
+            title = re.search(r"<title><!\[CDATA\[(.*?)\]\]></title>", block) or re.search(r"<title>(.*?)</title>", block)
+            link = re.search(r"<link>(.*?)</link>", block)
+            date = re.search(r"<pubDate>(.*?)</pubDate>", block)
+            desc = re.search(r"<description><!\[CDATA\[(.*?)\]\]></description>", block) or re.search(r"<description>(.*?)</description>", block)
+            posts.append({
+                "title": title.group(1) if title else "",
+                "link": link.group(1) if link else "",
+                "postDate": date.group(1) if date else "",
+                "description": re.sub(r"<[^>]*>", "", desc.group(1) if desc else "").strip()[:150],
+            })
+        total_match = re.search(r"<totalCount>(\d+)</totalCount>", xml)
+        return {
+            "officialBlogUrl": f"https://blog.naver.com/{blog_handle}",
+            "officialBlogHandle": blog_handle,
+            "totalResults": int(total_match.group(1)) if total_match else len(posts),
+            "posts": posts[:10],
+        }
diff --git a/app/integrations/youtube.py b/app/integrations/youtube.py
new file mode 100644
index 0000000..51793d3
--- /dev/null
+++ b/app/integrations/youtube.py
@@ -0,0 +1,123 @@
+from http import HTTPMethod
+from common.utils import http_request
+
+YT = "https://www.googleapis.com/youtube/v3"
+
+
+class YouTubeClient:
+    def __init__(self, api_key: str):
+        self.api_key = api_key
+
+    async def _resolve_channel_id(self, handle: str) -> str:
+        h = handle.lstrip("@")
+        if h.startswith("UC") and len(h) == 24:
+            return h
+        for param in ("forHandle", "forUsername"):
+            resp = await http_request(
+                HTTPMethod.GET,
+                url=f"{YT}/channels",
+                params={"part": "id", param: h, "key": self.api_key},
+                label="yt-resolve",
+            )
+            if resp and resp.is_success:
+                items = resp.json().get("items", [])
+                if items:
+                    return items[0]["id"]
+        return ""
+
+    async def fetch_channel(self, handle_or_id: str) -> dict | None:
+        channel_id = await self._resolve_channel_id(handle_or_id)
+        if not channel_id:
+            return None
+
+        resp = await http_request(
+            HTTPMethod.GET,
+            url=f"{YT}/channels",
+            params={"part": "snippet,statistics", "id": channel_id, "key": self.api_key},
+            label="yt-channel",
+        )
+        if not resp or not resp.is_success:
+            return None
+        items = resp.json().get("items", [])
+        if not items:
+            return None
+        channel = items[0]
+
+        video_ids: list[str] = []
+        resp = await http_request(
+            HTTPMethod.GET,
+            url=f"{YT}/search",
+            params={
+                "part": "snippet",
+                "channelId": channel_id,
+                "order": "viewCount",
+                "type": "video",
+                "maxResults": 10,
+                "key": self.api_key,
+            },
+            label="yt-search",
+        )
+        if resp and resp.is_success:
+            video_ids = [i["id"]["videoId"] for i in resp.json().get("items", []) if i.get("id", {}).get("videoId")]
+
+        videos: list[dict] = []
+        if video_ids:
+            resp = await http_request(
+                HTTPMethod.GET,
+                url=f"{YT}/videos",
+                params={
+                    "part": "snippet,statistics,contentDetails",
+                    "id": ",".join(video_ids),
+                    "key": self.api_key,
+                },
+                label="yt-videos",
+            )
+            if resp and resp.is_success:
+                videos = resp.json().get("items", [])[:10]
+
+        return {"channelId": channel_id, "channel": channel, "videos": videos}
+
+    async def get_channel(self, handle_or_id: str) -> dict | None:
+        raw = await self.fetch_channel(handle_or_id)
+        if not raw:
+            return None
+        ch = raw["channel"]
+        stats = ch.get("statistics", {})
+        snippet = ch.get("snippet", {})
+        return {
+            "channelId": raw["channelId"],
+            "channelName": snippet.get("title"),
+            "handle": snippet.get("customUrl"),
+            "description": snippet.get("description", ""),
+            "publishedAt": snippet.get("publishedAt"),
+            "subscribers": int(stats.get("subscriberCount", 0)),
+            "totalViews": int(stats.get("viewCount", 0)),
+            "totalVideos": int(stats.get("videoCount", 0)),
+            "videos": [
+                {
+                    "title": v.get("snippet", {}).get("title"),
+                    "views": int(v.get("statistics", {}).get("viewCount", 0)),
+                    "likes": int(v.get("statistics", {}).get("likeCount", 0)),
+                    "comments": int(v.get("statistics", {}).get("commentCount", 0)),
+                    "date": v.get("snippet", {}).get("publishedAt"),
+                    "duration": v.get("contentDetails", {}).get("duration"),
+                    "url": f"https://www.youtube.com/watch?v={v['id']}",
+                }
+                for v in raw["videos"]
+            ],
+        }
+
+    async def search_channels(self, query: str, max_results: int = 3) -> list[str]:
+        resp = await http_request(
+            HTTPMethod.GET,
+            url=f"{YT}/search",
+            params={"part": "snippet", "type": "channel", "q": query, "maxResults": max_results, "key": self.api_key},
+            label="yt-search-channels",
+        )
+        if not resp or not resp.is_success:
+            return []
+        return [
+            i.get("snippet", {}).get("channelId") or i.get("id", {}).get("channelId")
+            for i in resp.json().get("items", [])
+            if i.get("snippet", {}).get("channelId") or i.get("id", {}).get("channelId")
+        ]
diff --git a/app/test_fetch.py b/app/test_fetch.py
new file mode 100644
index 0000000..b51ae6d
--- /dev/null
+++ b/app/test_fetch.py
@@ -0,0 +1,54 @@
+import asyncio
+import json
+import os
+
+from dotenv import load_dotenv
+
+load_dotenv("../.env")
+
+from common.utils import normalize_handle
+from integrations.youtube import YouTubeClient
+from integrations.apify import ApifyClient
+from integrations.naver import NaverClient
+from integrations.firecrawl import FirecrawlClient
+
+INPUT = {
+    "youtube": "@banobagips",
+    "instagram": ["@banobagi_ps"],
+    "facebook": "BanobagiPlasticSurgery",
+    "naver_blog": "https://blog.naver.com/banobagiprs",
+    "gangnam_unni": "https://www.gangnamunni.com/hospitals/23",
+}
+
+OUT_DIR = "../test_results"
+
+
+def save(name: str, data) -> None:
+    os.makedirs(OUT_DIR, exist_ok=True)
+    path = os.path.join(OUT_DIR, f"{name}.json")
+    with open(path, "w", encoding="utf-8") as f:
+        json.dump(data, f, ensure_ascii=False)
+    print(f"saved → {path}")
+
+
+async def main():
+    yt = YouTubeClient(api_key=os.environ["YOUTUBE_API_KEY"])
+    apify = ApifyClient(token=os.environ["APIFY_API_TOKEN"])
+    naver = NaverClient(client_id=os.environ["NAVER_CLIENT_ID"], client_secret=os.environ["NAVER_CLIENT_SECRET"])
+    firecrawl = FirecrawlClient(api_key=os.environ["FIRECRAWL_API_KEY"])
+
+    yt_handle = normalize_handle("youtube", INPUT["youtube"])
+    ig_handle = normalize_handle("instagram", INPUT["instagram"][0])
+    fb_handle = normalize_handle("facebook", INPUT["facebook"])
+    naver_handle = normalize_handle("naver_blog", INPUT["naver_blog"])
+
+    save("youtube", await yt.fetch_channel(yt_handle))
+    save("instagram_profile", await apify.fetch_instagram_profile(ig_handle))
+    # save("instagram_posts", await apify.fetch_instagram_posts(ig_handle))
+    # save("instagram_reels", await apify.fetch_instagram_reels(ig_handle))
+    save("facebook", await apify.fetch_facebook_page(f"https://www.facebook.com/{fb_handle}"))
+    save("naver_blog", await naver.fetch_blog_rss(naver_handle))
+    save("gangnam_unni", await firecrawl.fetch_gangnam_unni(INPUT["gangnam_unni"]))
+
+
+asyncio.run(main())
diff --git a/requirements.txt b/requirements.txt
index dd0e870..2baec5f 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,6 +4,7 @@ pydantic==2.13.2
 python-dotenv==1.2.2
 redis==7.4.0
 httpx==0.28.1
+openai==2.32.0
 python-jose[cryptography]==3.5.0
 passlib[bcrypt]==1.7.4
 python-multipart==0.0.26