SOCIAL MEDIA

Convert Angry Mentions Into Zendesk Tickets With Stitched Threads

Detects a frustrated creator mention, reconstructs the entire public conversation into a readable transcript, and opens a Zendesk ticket so support owns it with no missing context.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled mention + reply-chain scrapeApify
  • ActionScore sentiment and flag angerOpenAI
  • LogicKeep only frustrated/hostile mentions
  • ActionStitch posts into chronological transcript
  • OutputOpen Zendesk ticket with full transcriptZendeskZendesk

What it does

When a creator publicly vents about your brand, this workflow stitches the scattered replies and quote-posts into one chronological transcript and files it as a Zendesk ticket. Support gets a complete picture and the SLA clock starts the moment the anger is detected, not when someone notices.

When to use it

When support runs on Zendesk and you need angry social mentions handled with the same rigor as email tickets, including a full transcript so no agent has to reconstruct what happened from screenshots.

How it works

  1. 1On a schedule, an Apify actor scrapes mentions and their reply chains.
  2. 2OpenAI scores sentiment and flags the angry ones.
  3. 3A filter keeps only frustrated or hostile mentions.
  4. 4The workflow stitches the post and its replies into one chronological transcript with timestamps and handles.
  5. 5A Zendesk ticket is created with the transcript, the creator's profile link, and a suggested priority for an agent to take over.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect ZendeskTickets, queues, knowledge base.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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