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#

bash

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

Environment#

VariablePurposeGEMINI_API_KEYGemini analysisFEISHU_APP_ID / FEISHU_APP_SECRETFeishu Drive auth (tenant_access_token)FEISHU_DRIVE_FOLDER_IDTarget Drive folder for the reportCLAWHUB_API_TOKENClawHub 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