Brand mentions, graded by tone

The scenario collects brand mentions regularly, an AI grades the tone of each, the negative ones go to Twake, and the whole history builds up in таблица.

  • The mentions collect themselves
  • A tone read on every post
  • The negative ones straight into chat
  • A full history in your table
Google SheetsApifySearch
Set it up for yourselfScriptera

How it works

To move data from Twake to Google Sheets automatically, use a ready-made scenario — no manual exports.

  1. Starts when: Schedule Trigger
  2. Then: Request for Twitter Post via Apify
  3. Then: Get Requested Post from Apify
  4. Then: Set Field for Loop
  5. Check: Loop Over Items
  6. Then: Get Post Data
  7. Check: If Duplicate
  8. If no: Sentiment Analyst
  9. Check: Switch According Analyst
  10. If yes: OpenAI
  11. Then: Add Post Data
  12. If no: Send negative post message on slack
  13. Then: Structured Output Parser
  14. Then: OpenAI Chat Model

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

Similar scenarios