diff --git a/app/utils/prompts/prompts.py b/app/utils/prompts/prompts.py
index d0cbc09..9217e15 100644
--- a/app/utils/prompts/prompts.py
+++ b/app/utils/prompts/prompts.py
@@ -1,13 +1,18 @@
-import os, json
+import gspread
 from pydantic import BaseModel
+from google.oauth2.service_account import Credentials
 from config import prompt_settings
 from app.utils.logger import get_logger
 from app.utils.prompts.schemas import *
 from functools import lru_cache
-import openpyxl
 
 logger = get_logger("prompt")
 
+_SCOPES = [
+    "https://www.googleapis.com/auth/spreadsheets.readonly", 
+    "https://www.googleapis.com/auth/drive.readonly"
+]
+
 class Prompt():
     sheet_name: str
     prompt_template: str
@@ -20,24 +25,20 @@ class Prompt():
         self.sheet_name = sheet_name
         self.prompt_input_class = prompt_input_class
         self.prompt_output_class = prompt_output_class
-        self.prompt_template, self.prompt_model = self._read_from_excel()
+        self.prompt_template, self.prompt_model = self._read_from_sheets()
 
-    def _read_from_excel(self) -> tuple[str, str]:
-        wb = openpyxl.load_workbook(prompt_settings.PROMPT_EXCEL_FILE, read_only=True)
-        try:
-            ws = wb[self.sheet_name]
-            data = {}
-            for row in ws.iter_rows(min_row=2, values_only=True):
-                key, value = row[0], row[1]
-                if key and value:
-                    data[key] = value
-        finally:
-            wb.close()
-
-        return data["input"], data["model"]
+    def _read_from_sheets(self) -> tuple[str, str]:
+        creds = Credentials.from_service_account_file(
+            prompt_settings.GOOGLE_SERVICE_ACCOUNT_JSON, scopes=_SCOPES
+        )
+        gc = gspread.authorize(creds)
+        ws = gc.open_by_key(prompt_settings.PROMPT_SPREADSHEET).worksheet(self.sheet_name)
+        model = ws.cell(2, 2).value
+        input_text = ws.cell(3, 2).value
+        return input_text, model
 
     def _reload_prompt(self):
-        self.prompt_template, self.prompt_model = self._read_from_excel()
+        self.prompt_template, self.prompt_model = self._read_from_sheets()
 
     def build_prompt(self, input_data: dict) -> str:
         verified_input = self.prompt_input_class(**input_data)
diff --git a/app/utils/prompts/templates/20260129_marketing_prompt.txt b/app/utils/prompts/templates/20260129_marketing_prompt.txt
new file mode 100644
index 0000000..2bf9307
--- /dev/null
+++ b/app/utils/prompts/templates/20260129_marketing_prompt.txt
@@ -0,0 +1,64 @@
+
+[Role & Objective]
+Act as a content marketing expert with strong domain knowledge in the Korean pension / stay-accommodation industry.
+Your goal is to produce a Marketing Intelligence Report that will be shown to accommodation owners BEFORE any content is generated.
+The report must clearly explain what makes the property sellable, marketable, and scalable through content.
+
+[INPUT]
+- Business Name: {customer_name}
+- Region: {region}
+- Region Details: {detail_region_info}
+
+[Core Analysis Requirements]
+Analyze the property based on:
+Location, concept, and nearby environment
+Target customer behavior and reservation decision factors
+Include:
+- Target customer segments & personas
+- Unique Selling Propositions (USPs)
+- Competitive landscape (direct & indirect competitors)
+- Market positioning
+
+[Key Selling Point Structuring – UI Optimized]
+From the analysis above, extract the main Key Selling Points using the structure below.
+Rules:
+Focus only on factors that directly influence booking decisions
+Each selling point must be concise and visually scannable
+Language must be reusable for ads, short-form videos, and listing headlines
+Avoid full sentences in descriptions; use short selling phrases
+Do not provide in report
+
+Output format:
+[Category]
+(Tag keyword – 5~8 words, noun-based, UI oval-style)
+One-line selling phrase (not a full sentence)
+Limit:
+5 to 8 Key Selling Points only
+Do not provide in report
+
+[Content & Automation Readiness Check]
+Ensure that:
+Each tag keyword can directly map to a content theme
+Each selling phrase can be used as:
+- Video hook
+- Image headline
+- Ad copy snippet
+
+
+[Tag Generation Rules]
+- Tags must include **only core keywords that can be directly used for viral video song lyrics**
+- Each tag should be selected with **search discovery + emotional resonance + reservation conversion** in mind
+- The number of tags must be **exactly 5**
+- Tags must be **nouns or short keyword phrases**; full sentences are strictly prohibited
+- The following categories must be **balanced and all represented**:
+  1) **Location / Local context** (region name, neighborhood, travel context)
+  2) **Accommodation positioning** (emotional stay, private stay, boutique stay, etc.)
+  3) **Emotion / Experience** (healing, rest, one-day escape, memory, etc.)
+  4) **SNS / Viral signals** (Instagram vibes, picture-perfect day, aesthetic travel, etc.)
+  5) **Travel & booking intent** (travel, getaway, stay, relaxation, etc.)
+
+- If a brand name exists, **at least one tag must include the brand name or a brand-specific expression**
+- Avoid overly generic keywords (e.g., “hotel”, “travel” alone); **prioritize distinctive, differentiating phrases**
+- The final output must strictly follow the JSON format below, with no additional text
+
+  "tags": ["Tag1", "Tag2", "Tag3", "Tag4", "Tag5"]
diff --git a/app/utils/prompts/templates/lyric_prompt.txt b/app/utils/prompts/templates/lyric_prompt.txt
new file mode 100644
index 0000000..5b04be0
--- /dev/null
+++ b/app/utils/prompts/templates/lyric_prompt.txt
@@ -0,0 +1,77 @@
+
+[ROLE]
+You are a content marketing expert, brand strategist, and creative songwriter
+specializing in Korean pension / accommodation businesses.
+You create lyrics strictly based on Brand & Marketing Intelligence analysis
+and optimized for viral short-form video content.
+Marketing Intelligence Report is background reference.
+
+[INPUT]
+Business Name: {customer_name}
+Region: {region}
+Region Details: {detail_region_info}
+Brand & Marketing Intelligence Report: {marketing_intelligence_summary}
+Output Language: {language}
+
+[INTERNAL ANALYSIS – DO NOT OUTPUT]
+Internally analyze the following to guide all creative decisions:
+- Core brand identity and positioning
+- Emotional hooks derived from selling points
+- Target audience lifestyle, desires, and travel motivation
+- Regional atmosphere and symbolic imagery
+- How the stay converts into “shareable moments”
+- Which selling points must surface implicitly in lyrics
+
+[LYRICS & MUSIC CREATION TASK]
+Based on the Brand & Marketing Intelligence Report for [{customer_name} ({region})], generate:
+- Original promotional lyrics
+- Music attributes for AI music generation (Suno-compatible prompt)
+The output must be designed for VIRAL DIGITAL CONTENT
+(short-form video, reels, ads).
+
+[LYRICS REQUIREMENTS]
+Mandatory Inclusions:
+- Business name
+- Region name
+- Promotion subject
+- Promotional expressions including:
+{promotional_expression_example}
+
+Content Rules:
+- Lyrics must be emotionally driven, not descriptive listings
+- Selling points must be IMPLIED, not explained
+- Must sound natural when sung
+- Must feel like a lifestyle moment, not an advertisement
+
+Tone & Style:
+- Warm, emotional, and aspirational
+- Trendy, viral-friendly phrasing
+- Calm but memorable hooks
+- Suitable for travel / stay-related content
+
+[SONG & MUSIC ATTRIBUTES – FOR SUNO PROMPT]
+After the lyrics, generate a concise music prompt including:
+Song mood (emotional keywords)
+BPM range
+Recommended genres (max 2)
+Key musical motifs or instruments
+Overall vibe (1 short sentence)
+
+[CRITICAL LANGUAGE REQUIREMENT – ABSOLUTE RULE]
+ALL OUTPUT MUST BE 100% WRITTEN IN {language}.
+no mixed languages
+All names, places, and expressions must be in {language} 
+Any violation invalidates the entire output
+
+[OUTPUT RULES – STRICT]
+{timing_rules}
+
+No explanations
+No headings
+No bullet points
+No analysis
+No extra text
+
+[FAILURE FORMAT]
+If generation is impossible:
+ERROR: Brief reason in English
diff --git a/app/utils/prompts/templates/marketing_prompt.txt b/app/utils/prompts/templates/marketing_prompt.txt
new file mode 100644
index 0000000..d4de2e0
--- /dev/null
+++ b/app/utils/prompts/templates/marketing_prompt.txt
@@ -0,0 +1,42 @@
+# Role
+Act as a Senior Brand Strategist and Marketing Data Analyst. Your goal is to analyze the provided input data and generate a high-level Marketing Intelligence Report based on the defined output structure.
+
+# Input Data
+*   **Customer Name:** {customer_name}
+*   **Region:** {region}
+*   **Detail Region Info:** {detail_region_info}
+
+# Output Rules
+1.  **Language:** All descriptive content must be written in **Korean (한국어)**.
+2.  **Terminology:** Use professional marketing terminology suitable for the hospitality and stay industry.
+3.  **Strict Selection for `selling_points.english_category` and `selling_points.korean_category`:** You must select the value for both category field in `selling_points` strictly from the following English - Korean set allowed list to ensure UI compatibility:
+    *  `LOCATION` (입지 환경), `CONCEPT` (브랜드 컨셉), `PRIVACY` (프라이버시), `NIGHT MOOD` (야간 감성), `HEALING` (힐링 요소), `PHOTO SPOT` (포토 스팟), `SHORT GETAWAY` (숏브레이크), `HOSPITALITY` (서비스), `SWIMMING POOL` (수영장), `JACUZZI` (자쿠지), `BBQ PARTY` (바베큐), `FIRE PIT` (불멍), `GARDEN` (정원), `BREAKFAST` (조식), `KIDS FRIENDLY` (키즈 케어), `PET FRIENDLY` (애견 동반), `OCEAN VIEW` (오션뷰), `PRIVATE POOL` (개별 수영장), `OCEAN VIEW`, `PRIVATE POOL`.
+
+---
+
+# Instruction per Output Field (Mapping Logic)
+
+### 1. brand_identity
+*   **`location_feature_analysis`**: Analyze the marketing advantages of the given `{region}` and `{detail_region_info}`. Explain why this specific location is attractive to travelers. summarize in 1-2 sentences. (e.g., proximity to nature, accessibility from Seoul, or unique local atmosphere).
+*   **`concept_scalability`**: Based on `{customer_name}`, analyze how the brand's core concept can expand into a total customer experience or additional services. summarize in 1-2 sentences.
+
+### 2. market_positioning
+*   **`category_definition`**: Define a sharp, niche market category for this business (e.g., "Private Forest Cabin" or "Luxury Kids Pool Villa").
+*   **`core_value`**: Identify the single most compelling emotional or functional value that distinguishes `{customer_name}` from competitors.
+
+### 3. target_persona
+Generate a list of personas based on the following:
+*   **`persona`**: Provide a descriptive name and profile for the target group. Must be **20 characters or fewer**.
+*   **`age`**: Set `min_age` and `max_age` (Integer 0-100) that accurately reflects the segment.
+*   **`favor_target`**: List specific elements or vibes this persona prefers (e.g., "Minimalist interior", "Pet-friendly facilities").
+*   **`decision_trigger`**: Identify the specific "Hook" or facility that leads this persona to finalize a booking.
+
+### 4. selling_points
+Generate 5-8 selling points:
+*   **`english_category`**: Strictly use one keyword from the English allowed list provided in the Output Rules.
+*   **`korean category`**: Strictly use one keyword from the Korean allowed list provided in the Output Rules . It must be matched with english category.
+*   **`description`**: A short, punchy marketing phrase in Korean (15~30 characters).
+*   **`score`**: An integer (0-100) representing the strength of this feature based on the brand's potential.
+
+### 5. target_keywords
+*   **`target_keywords`**: Provide a list of 10 highly relevant marketing keywords or hashtags for search engine optimization and social media targeting. Do not insert # in front of hashtag. 
\ No newline at end of file
diff --git a/app/utils/prompts/templates/prompts.xlsx b/app/utils/prompts/templates/prompts.xlsx
deleted file mode 100644
index 8143982..0000000
Binary files a/app/utils/prompts/templates/prompts.xlsx and /dev/null differ
diff --git a/app/utils/prompts/templates/subtitle_prompt.txt b/app/utils/prompts/templates/subtitle_prompt.txt
new file mode 100644
index 0000000..1480434
--- /dev/null
+++ b/app/utils/prompts/templates/subtitle_prompt.txt
@@ -0,0 +1,87 @@
+당신은 숙박 브랜드 숏폼 영상의 자막 콘텐츠를 추출하는 전문가입니다.
+
+입력으로 주어지는 **1) 5가지 기준의 레이어 이름 리스트**와 **2) 마케팅 인텔리전스 분석 결과(JSON)**를 바탕으로, 각 레이어 이름의 의미에 정확히 1:1 매칭되는 텍스트 콘텐츠만을 추출하세요.
+
+분석 결과에 없는 정보는 절대 지어내거나 추론하지 마세요. 오직 제공된 JSON 데이터 내에서만 텍스트를 구성해야 합니다.
+
+---
+
+## 1. 레이어 네이밍 규칙 해석 및 매핑 가이드
+
+입력되는 모든 레이어 이름은 예외 없이 `<track_role>-<narrative_phase>-<content_type>-<tone>-<pair_id>` 의 5단계 구조로 되어 있습니다. 
+마지막의 3자리 숫자 ID(`-001`, `-002` 등)는 모든 레이어에 필수적으로 부여됩니다.
+
+### [1] track_role (텍스트 형태)
+- `subtitle`: 씬 상황을 설명하는 간결한 문장형 텍스트 (1줄 이내)
+- `keyword`: 씬을 상징하고 시선을 끄는 단답형/명사형 텍스트 (1~2단어)
+
+### [2] narrative_phase (영상 흐름)
+- `intro`: 영상 도입부. 가장 시선을 끄는 정보를 배치.
+- `core`: 핵심 매력이나 주요 편의 시설 어필.
+- `highlight`: 세부적인 매력 포인트나 공간의 특별한 분위기 묘사.
+- `outro`: 영상 마무리. 브랜드 명칭 복기 및 타겟/위치 정보 제공.
+
+### [3] content_type (데이터 매핑 대상)
+- `hook_claim` 👉 `selling_points`에서 점수가 가장 높은 1순위 소구점이나 `market_positioning.core_value`를 활용하여 가장 강력한 핵심 세일즈 포인트를 어필. (가장 강력한 셀링포인트를 의미함)
+- `selling_point` 👉 `selling_points`의 `description`, `korean_category` 등을 narrative 흐름에 맞춰 순차적으로 추출.
+- `brand_name` 👉 JSON의 `store_name`을 추출.
+- `location_info` 👉 JSON의 `detail_region_info`를 요약.
+- `target_tag` 👉 `target_persona`나 `target_keywords`에서 타겟 고객군 또는 해시태그 추출.
+
+### [4] tone (텍스트 어조)
+- `sensory`: 직관적이고 감각적인 단어 사용
+- `factual`: 과장 없이 사실 정보를 담백하게 전달
+- `empathic`: 고객의 상황에 공감하는 따뜻한 어조
+- `aspirational`: 열망을 자극하고 기대감을 주는 느낌
+
+### [5] pair_id (씬 묶음 식별 번호)
+- 텍스트 레이어는 `subtitle`과 `keyword`가 하나의 페어(Pair)를 이뤄 하나의 씬(Scene)에서 함께 등장합니다.
+- 따라서 **동일한 씬에 속하는 `subtitle`과 `keyword` 레이어는 동일한 3자리 순번 ID(예: `-001`)**를 공유합니다.
+- 영상 전반적인 씬 전개 순서에 따라 **다음 씬으로 넘어갈 때마다 ID가 순차적으로 증가**합니다. (예: 씬1은 `-001`, 씬2는 `-002`, 씬3은 `-003`...)
+- **중요**: ID가 달라진다는 것은 '새로운 씬' 혹은 '다른 텍스트 쌍'을 의미하므로, **ID가 바뀌면 반드시 JSON 내의 다른 소구점이나 데이터를 추출**하여 내용이 중복되지 않도록 해야 합니다.
+
+---
+
+## 2. 콘텐츠 추출 시 주의사항
+
+1. 각 입력 레이어 이름 1개당 **오직 1개의 텍스트 콘텐츠**만 매핑하여 출력합니다. (레이어명 이름 자체를 수정하거나 새로 만들지 마세요.)
+2. `content_type`이 `selling_point`로 동일하더라도, `narrative_phase`(core, highlight)나 `tone`이 달라지면 JSON 내의 2순위, 3순위 세일즈 포인트를 순차적으로 활용하여 내용 겹침을 방지하세요.
+3. 같은 씬에 속하는(같은 ID 번호를 가진) keyword는 핵심 단어로, subtitle은 적절한 마케팅 문구가 되어야 하며, 자연스럽게 이어지는 문맥을 형성하도록 구성하세요.
+4. keyword가 subtitle에 완전히 포함되는 단어가 되지 않도록 유의하세요.
+5. 정보 태그가 같더라도 ID가 다르다면 중복되지 않는 새로운 텍스트를 도출해야 합니다.
+6. 콘텐츠 추출 시 마케팅 인텔리전스의 내용을 그대로 사용하기보다는 paraphrase을 수행하세요.
+7. keyword는 공백 포함 전각 8자 / 반각 16자내, subtitle은 전각 15자 / 반각 30자 내로 구성하세요. 
+
+---
+
+## 3. 출력 결과 포맷 및 예시
+
+입력된 레이어 이름 순서에 맞춰, 매핑된 텍스트 콘텐츠만 작성하세요. (반드시 intro, core, highlight, outro 등 모든 씬 단계가 명확하게 매핑되어야 합니다.)
+
+### 입력 레이어 리스트 예시 및 출력 예시
+
+| Layer Name | Text Content |
+|---|---|
+| subtitle-intro-hook_claim-aspirational-001 | 반려견과 눈치 없이 온전하게 쉬는 완벽한 휴식 |
+| keyword-intro-brand_name-sensory-001 | 스테이펫 홍천 |
+| subtitle-core-selling_point-empathic-002 | 우리만의 독립된 공간감이 주는 진정한 쉼 |
+| keyword-core-selling_point-factual-002 | 프라이빗 독채 |
+| subtitle-highlight-selling_point-sensory-003 | 탁 트인 야외 무드존과 포토 스팟의 감성 컷 |
+| keyword-highlight-selling_point-factual-003 | 넓은 정원 |
+| subtitle-outro-target_tag-empathic-004 | #강원도애견동반 #주말숏브레이크 |
+| keyword-outro-location_info-factual-004 | 강원 홍천군 화촌면 |
+
+
+# 입력
+**입력 1: 레이어 이름 리스트**
+{pitching_tag_list_string}
+
+**입력 2: 마케팅 인텔리전스 JSON**
+{marketing_intelligence}
+
+**입력 3: 비즈니스 정보 **
+Business Name: {customer_name}
+Region Details: {detail_region_info}
+
+
+
diff --git a/app/utils/prompts/templates/yt_upload_prompt.txt b/app/utils/prompts/templates/yt_upload_prompt.txt
new file mode 100644
index 0000000..cc6c10a
--- /dev/null
+++ b/app/utils/prompts/templates/yt_upload_prompt.txt
@@ -0,0 +1,143 @@
+[ROLE]
+You are a YouTube SEO/AEO content strategist specialized in local stay, pension, and accommodation brands in Korea.
+You create search-optimized, emotionally appealing, and action-driving titles and descriptions based on Brand & Marketing Intelligence.
+
+Your goal is to:
+
+Increase search visibility
+Improve click-through rate
+Reflect the brand’s positioning
+Trigger emotional interest
+Encourage booking or inquiry actions through subtle CTA
+ 
+
+[INPUT]
+Business Name: {customer_name}
+Region Details: {detail_region_info}
+Brand & Marketing Intelligence Report: {marketing_intelligence_summary}
+Target Keywords: {target_keywords}
+Output Language: {language}
+
+ 
+
+[INTERNAL ANALYSIS – DO NOT OUTPUT]
+Analyze the following from the marketing intelligence:
+
+Core brand concept
+Main emotional promise
+Primary target persona
+Top 2–3 USP signals
+Stay context (date, healing, local trip, etc.)
+Search intent behind the target keywords
+Main booking trigger
+Emotional moment that would make the viewer want to stay
+Use these to guide:
+
+Title tone
+Opening CTA line
+Emotional hook in the first sentences
+ 
+
+[TITLE GENERATION RULES]
+
+The title must:
+
+Include the business name or region when natural
+Always wrap the business name in quotation marks
+Example: “스테이 머뭄”
+Include 1–2 high-intent keywords
+Reflect emotional positioning
+Suggest a desirable stay moment
+Sound like a natural YouTube title, not an advertisement
+Length rules:
+
+Hard limit: 100 characters
+Target range: 45–65 characters
+Place primary keyword in the first half
+Avoid:
+
+ALL CAPS
+Excessive symbols
+Price or promotion language
+Hard-sell expressions
+ 
+
+[DESCRIPTION GENERATION RULES]
+
+Character rules:
+
+Maximum length: 1,000 characters
+Critical information must appear within the first 150 characters
+Language style rules (mandatory):
+
+Use polite Korean honorific style
+Replace “있나요?” with “있으신가요?”
+Do not start sentences with “이곳은”
+Replace “선택이 됩니다” with “추천 드립니다”
+Always wrap the business name in quotation marks
+Example: “스테이 머뭄”
+Avoid vague location words like “근대거리” alone
+Use specific phrasing such as:
+“군산 근대역사문화거리 일대”
+Structure:
+
+Opening CTA (first line)
+Must be a question or gentle suggestion
+Must use honorific tone
+Example:
+“조용히 쉴 수 있는 군산숙소를 찾고 있으신가요?”
+Core Stay Introduction (within first 150 characters total)
+Mention business name with quotation marks
+Mention region
+Include main keyword
+Briefly describe the stay experience
+Brand Experience
+Core value and emotional promise
+Based on marketing intelligence positioning
+Key Highlights (3–4 short lines)
+Derived from USP signals
+Natural sentences
+Focus on booking-trigger moments
+Local Context
+Mention nearby experiences
+Use specific local references
+Example:
+“군산 근대역사문화거리 일대 산책이나 로컬 카페 투어”
+Soft Closing Line
+One gentle, non-salesy closing sentence
+Must end with a recommendation tone
+Example:
+“군산에서 조용한 시간을 보내고 싶다면 ‘스테이 머뭄’을 추천 드립니다.”
+ 
+
+[SEO & AEO RULES]
+
+Naturally integrate 3–5 keywords from {target_keywords}
+Avoid keyword stuffing
+Use conversational, search-like phrasing
+Optimize for:
+YouTube search
+Google video results
+AI answer summaries
+Keywords should appear in:
+
+Title (1–2)
+First 150 characters of description
+Highlight or context sections
+ 
+
+[LANGUAGE RULE]
+
+All output must be written entirely in {language}.
+No mixed languages.
+
+ 
+
+[OUTPUT FORMAT – STRICT]
+
+title:
+description:
+
+No explanations.
+No headings.
+No extra text.
\ No newline at end of file
diff --git a/config.py b/config.py
index d3355c2..53b6484 100644
--- a/config.py
+++ b/config.py
@@ -180,7 +180,8 @@ class CreatomateSettings(BaseSettings):
     model_config = _base_config
 
 class PromptSettings(BaseSettings):
-    PROMPT_EXCEL_FILE: str = Field(...)
+    GOOGLE_SERVICE_ACCOUNT_JSON: str = Field(...)
+    PROMPT_SPREADSHEET: str = Field(...)
 
     model_config = _base_config
 
diff --git a/credentials/service_account.json b/credentials/service_account.json
new file mode 100644
index 0000000..9b4a5cc
--- /dev/null
+++ b/credentials/service_account.json
@@ -0,0 +1,13 @@
+{
+  "type": "service_account",
+  "project_id": "gen-lang-client-0709526754",
+  "private_key_id": "1f06e4edb5906563b8e40aaa56d44161407571f5",
+  "private_key": "-----BEGIN PRIVATE KEY-----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\nUHp97FIVfqU3lbIG3Am0cvJi\n-----END PRIVATE KEY-----\n",
+  "client_email": "ado2-service-account@gen-lang-client-0709526754.iam.gserviceaccount.com",
+  "client_id": "105375194886361442083",
+  "auth_uri": "https://accounts.google.com/o/oauth2/auth",
+  "token_uri": "https://oauth2.googleapis.com/token",
+  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
+  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/ado2-service-account%40gen-lang-client-0709526754.iam.gserviceaccount.com",
+  "universe_domain": "googleapis.com"
+}
diff --git a/pyproject.toml b/pyproject.toml
index c09968f..76fb23e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,8 +12,8 @@ dependencies = [
     "beautifulsoup4>=4.14.3",
     "fastapi-cli>=0.0.16",
     "fastapi[standard]>=0.125.0",
+    "gspread>=6.2.1",
     "openai>=2.13.0",
-    "openpyxl>=3.1.5",
     "playwright>=1.57.0",
     "pydantic-settings>=2.12.0",
     "python-dotenv>=1.0.0",
diff --git a/uv.lock b/uv.lock
index 321ee1c..47a5ac3 100644
--- a/uv.lock
+++ b/uv.lock
@@ -178,6 +178,31 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/cb/0e/02ceeec9a7d6ee63bb596121c2c8e9b3a9e150936f4fbef6ca1943e6137c/cffi-2.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:256f80b80ca3853f90c21b23ee78cd008713787b1b1e93eae9f3d6a7134abd91", size = 177780, upload-time = "2025-09-08T23:23:16.761Z" },
 ]
 
+[[package]]
+name = "charset-normalizer"
+version = "3.4.6"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7b/60/e3bec1881450851b087e301bedc3daa9377a4d45f1c26aa90b0b235e38aa/charset_normalizer-3.4.6.tar.gz", hash = "sha256:1ae6b62897110aa7c79ea2f5dd38d1abca6db663687c0b1ad9aed6f6bae3d9d6", size = 143363, upload-time = "2026-03-15T18:53:25.478Z" }
+wheels = [
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+    { url = "https://files.pythonhosted.org/packages/47/7b/20e809b89c69d37be748d98e84dce6820bf663cf19cf6b942c951a3e8f41/charset_normalizer-3.4.6-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:423fb7e748a08f854a08a222b983f4df1912b1daedce51a72bd24fe8f26a1843", size = 198527, upload-time = "2026-03-15T18:51:17.177Z" },
+    { url = "https://files.pythonhosted.org/packages/37/a6/4f8d27527d59c039dce6f7622593cdcd3d70a8504d87d09eb11e9fdc6062/charset_normalizer-3.4.6-cp313-cp313-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:d73beaac5e90173ac3deb9928a74763a6d230f494e4bfb422c217a0ad8e629bf", size = 218388, upload-time = "2026-03-15T18:51:18.934Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/9b/4770ccb3e491a9bacf1c46cc8b812214fe367c86a96353ccc6daf87b01ec/charset_normalizer-3.4.6-cp313-cp313-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d60377dce4511655582e300dc1e5a5f24ba0cb229005a1d5c8d0cb72bb758ab8", size = 214563, upload-time = "2026-03-15T18:51:20.374Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/58/a199d245894b12db0b957d627516c78e055adc3a0d978bc7f65ddaf7c399/charset_normalizer-3.4.6-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:530e8cebeea0d76bdcf93357aa5e41336f48c3dc709ac52da2bb167c5b8271d9", size = 206587, upload-time = "2026-03-15T18:51:21.807Z" },
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+    { url = "https://files.pythonhosted.org/packages/58/ab/9318352e220c05efd31c2779a23b50969dc94b985a2efa643ed9077bfca5/charset_normalizer-3.4.6-cp313-cp313-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:34315ff4fc374b285ad7f4a0bf7dcbfe769e1b104230d40f49f700d4ab6bbd84", size = 202956, upload-time = "2026-03-15T18:51:25.239Z" },
+    { url = "https://files.pythonhosted.org/packages/75/13/f3550a3ac25b70f87ac98c40d3199a8503676c2f1620efbf8d42095cfc40/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5f8ddd609f9e1af8c7bd6e2aca279c931aefecd148a14402d4e368f3171769fd", size = 201923, upload-time = "2026-03-15T18:51:26.682Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/db/c5c643b912740b45e8eec21de1bbab8e7fc085944d37e1e709d3dcd9d72f/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:80d0a5615143c0b3225e5e3ef22c8d5d51f3f72ce0ea6fb84c943546c7b25b6c", size = 195366, upload-time = "2026-03-15T18:51:28.129Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/67/3b1c62744f9b2448443e0eb160d8b001c849ec3fef591e012eda6484787c/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:92734d4d8d187a354a556626c221cd1a892a4e0802ccb2af432a1d85ec012194", size = 219752, upload-time = "2026-03-15T18:51:29.556Z" },
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+    { url = "https://files.pythonhosted.org/packages/41/12/5d308c1bbe60cabb0c5ef511574a647067e2a1f631bc8634fcafaccd8293/charset_normalizer-3.4.6-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:2b1a63e8224e401cafe7739f77efd3f9e7f5f2026bda4aead8e59afab537784f", size = 215956, upload-time = "2026-03-15T18:51:32.399Z" },
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+    { url = "https://files.pythonhosted.org/packages/01/a5/7abf15b4c0968e47020f9ca0935fb3274deb87cb288cd187cad92e8cdffd/charset_normalizer-3.4.6-cp313-cp313-win_arm64.whl", hash = "sha256:a4474d924a47185a06411e0064b803c68be044be2d60e50e8bddcc2649957c1f", size = 143109, upload-time = "2026-03-15T18:51:39.565Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/68/687187c7e26cb24ccbd88e5069f5ef00eba804d36dde11d99aad0838ab45/charset_normalizer-3.4.6-py3-none-any.whl", hash = "sha256:947cf925bc916d90adba35a64c82aace04fa39b46b52d4630ece166655905a69", size = 61455, upload-time = "2026-03-15T18:53:23.833Z" },
+]
+
 [[package]]
 name = "click"
 version = "8.3.1"
@@ -283,15 +308,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/de/15/545e2b6cf2e3be84bc1ed85613edd75b8aea69807a71c26f4ca6a9258e82/email_validator-2.3.0-py3-none-any.whl", hash = "sha256:80f13f623413e6b197ae73bb10bf4eb0908faf509ad8362c5edeb0be7fd450b4", size = 35604, upload-time = "2025-08-26T13:09:05.858Z" },
 ]
 
-[[package]]
-name = "et-xmlfile"
-version = "2.0.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/d3/38/af70d7ab1ae9d4da450eeec1fa3918940a5fafb9055e934af8d6eb0c2313/et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54", size = 17234, upload-time = "2024-10-25T17:25:40.039Z" }
-wheels = [
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-]
-
 [[package]]
 name = "fastapi"
 version = "0.128.0"
@@ -422,6 +438,32 @@ wheels = [
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 ]
 
+[[package]]
+name = "google-auth"
+version = "2.49.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography" },
+    { name = "pyasn1-modules" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ea/80/6a696a07d3d3b0a92488933532f03dbefa4a24ab80fb231395b9a2a1be77/google_auth-2.49.1.tar.gz", hash = "sha256:16d40da1c3c5a0533f57d268fe72e0ebb0ae1cc3b567024122651c045d879b64", size = 333825, upload-time = "2026-03-12T19:30:58.135Z" }
+wheels = [
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+]
+
+[[package]]
+name = "google-auth-oauthlib"
+version = "1.3.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "google-auth" },
+    { name = "requests-oauthlib" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/a6/82/62482931dcbe5266a2680d0da17096f2aab983ecb320277d9556700ce00e/google_auth_oauthlib-1.3.1.tar.gz", hash = "sha256:14c22c7b3dd3d06dbe44264144409039465effdd1eef94f7ce3710e486cc4bfa", size = 21663, upload-time = "2026-03-30T22:49:56.408Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2a/e0/cb454a95f460903e39f101e950038ec24a072ca69d0a294a6df625cc1627/google_auth_oauthlib-1.3.1-py3-none-any.whl", hash = "sha256:1a139ef23f1318756805b0e95f655c238bffd29655329a2978218248da4ee7f8", size = 19247, upload-time = "2026-03-30T20:02:23.894Z" },
+]
+
 [[package]]
 name = "greenlet"
 version = "3.3.0"
@@ -438,6 +480,19 @@ wheels = [
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 ]
 
+[[package]]
+name = "gspread"
+version = "6.2.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "google-auth" },
+    { name = "google-auth-oauthlib" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/91/83/42d1d813822ed016d77aabadc99b09de3b5bd68532fd6bae23fd62347c41/gspread-6.2.1.tar.gz", hash = "sha256:2c7c99f7c32ebea6ec0d36f2d5cbe8a2be5e8f2a48bde87ad1ea203eff32bd03", size = 82590, upload-time = "2025-05-14T15:56:25.254Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/27/76/563fb20dedd0e12794d9a12cfe0198458cc0501fdc7b034eee2166d035d5/gspread-6.2.1-py3-none-any.whl", hash = "sha256:6d4ec9f1c23ae3c704a9219026dac01f2b328ac70b96f1495055d453c4c184db", size = 59977, upload-time = "2025-05-14T15:56:24.014Z" },
+]
+
 [[package]]
 name = "h11"
 version = "0.16.0"
@@ -663,8 +718,8 @@ dependencies = [
     { name = "beautifulsoup4" },
     { name = "fastapi", extra = ["standard"] },
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     { name = "pydantic-settings" },
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     { name = "fastapi", extras = ["standard"], specifier = ">=0.125.0" },
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@@ -714,6 +769,15 @@ dev = [
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