GOG Weekly Sales Analytics

Automated workflow that:

1. Scrapes weekly discounted game data from the GOG store
2. Analyzes the full set of discounted games with Google Gemini to surface best-value deals
3. Generates a markdown report with insights and recommendations
4. Syncs the report to a shared Feishu Drive folder for team access
5. Publishes the workflow as a reusable skill on ClawHub

Usage

cp .env.example .env
# Fill in API keys in .env
pip install -r requirements.txt
python main.py

Environment

| Variable | Purpose | | --- | --- | | GEMINI_API_KEY | Gemini analysis | | FEISHU_APP_ID / FEISHU_APP_SECRET | Feishu Drive auth (tenant_access_token) | | FEISHU_DRIVE_FOLDER_ID | Target Drive folder for the report | | CLAWHUB_API_TOKEN | ClawHub publishing |

Notes

• Feishu upload uses the upload_all multipart/form-data API (metadata in the form body, binary via files).
• Gemini analysis processes every discounted game in the dataset — there is no 20-item cap.

Skills Used

• web-scraper: GOG store data extraction
• gemini: AI-powered sales analysis and report generation
• feishu-drive: Cloud storage sync and permission management
• gog: Game metadata and platform integration
• clawhub: Skill publishing and distribution