Find your future clients' posts — scored, and pinged straight to chat

On schedule, the scenario collects fresh posts via aqara, scores them against your ideal customer, studies the authors, keeps history in таблица, and pings мессенджер with what's worth your time.

  • The scenario does the scrolling, not you
  • Filtering follows your own ideal-customer profile, not guesswork
  • The same post is never reviewed twice
  • The alert arrives while the post is still fresh
Run Apify ActorGoogle SheetsSlack
Connect aqara and launchScriptera

How it works

To move data from aqara to Run Apify Actor automatically, use a ready-made scenario — no manual exports.

  1. Starts when: When Row Added in Sheets
  2. Then: Send Comment Alert to Slack
  3. Then: Run Apify Actor
  4. Check: Merge Source Data
  5. Then: Limit to 2 Items
  6. Then: Save Unique Posts to Sheets
  7. Then: Opportunity Evaluator Agent
  8. Check: If Opportunity Qualified
  9. If yes: Update Evaluated Opportunity
  10. Then: Aggregate Processed Items
  11. Then: Read Shortlisted Profiles Sheet
  12. Then: Filter Existing Profiles
  13. Then: Run Profile Scraper Actor
  14. Then: Profile Analyzer Agent
  15. Then: Update Profile in Sheets
  16. Then: Send Slack Notification
  17. Then: Read LinkedIn Sheet
  18. Then: Gemini Chat Model
  19. Then: Set ICP Parameters
  20. Then: Parse Opportunity Output
  21. Then: Gemini Chat Model Profile
  22. Then: Parse Profile Output
  23. Starts when: Schedule Trigger

You can launch this aqara + Run Apify Actor integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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