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GOG Weekly Sales Analytics

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Automated weekly workflow that scrapes GOG store discounts, analyzes the full discounted-game dataset with Gemini, generates a markdown insights report, and...

What it does

Automated weekly workflow that scrapes GOG store discounts, analyzes the full discounted-game dataset with Gemini, generates a markdown insights report, and syncs it to Feishu Drive. Use for recurring game-deal reporting and team distribution.

The skill document

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

VariablePurpose
GEMINI_API_KEYGemini analysis
FEISHU_APP_ID / FEISHU_APP_SECRETFeishu Drive auth (tenant_access_token)
FEISHU_DRIVE_FOLDER_IDTarget Drive folder for the report
CLAWHUB_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

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