App-store review replies — with review and logging

The scenario collects reviews, shows them in exolve, drafts replies with AI, keeps drafts in Microsoft OneDrive, and after approval posts them, logging results in dataTable.

  • New reviews collected automatically
  • AI drafts polite, personal replies
  • Posting only after your approval
  • Results logged in dataTable
JWT

How it works

To connect exolve and Microsoft OneDrive, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: Trigger posting responses
  2. Then: Search responses ready to be posted
  3. Then: Download file
  4. Then: Extract from File
  5. Then: JWT1
  6. Then: HTTP Request - Respond to App Store reviews
  7. Then: Create a success log for the review
  8. Then: Create an errror log for the review
  9. Then: Move spreadsheet to Archived folder
  10. Then: JWT
  11. Then: HTTP Request - App Store Reviews
  12. Then: Split Out fetched reviews
  13. Check: Fetch yesterday's reviews
  14. Check: Any reviews yesterday?
  15. If yes: Fetch fields required by LLM
  16. Then: Aggregate reviews for LLM use
  17. Then: LLM Response Generator
  18. Then: Split responses
  19. Check: Loop over apps
  20. Check: Get rid of empty items
  21. Then: Sort
  22. Then: Convert to File
  23. Then: Upload file
  24. Then: Send to Slack
  25. Then: Fetch app id and name
  26. Then: Fetch list of applications
  27. Then: Anthropic Chat Model
  28. Then: Structured Output Parser
  29. Starts when: Trigger download

You can launch this exolve + Microsoft OneDrive integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.