SOCIAL MEDIA

Open a Zendesk ticket from angry social mentions

Detects negative public mentions of your brand, opens a prioritized Zendesk ticket for each one, and alerts the on-call support lead in Slack so complaints get a real response.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled scrape of brand mentionsApify
  • ActionScore sentiment and severityOpenAI
  • LogicKeep only negative mentions
  • ActionCreate prioritized Zendesk ticketZendeskZendesk
  • OutputAlert on-call support lead in SlackSlack

What it does

This workflow turns public complaints into tracked support tickets. When someone posts something negative about your brand on social media, it creates a Zendesk ticket with the post content and a priority based on how severe the language is, then pings the support lead.

When to use it

Use it when social complaints slip through the cracks because they live outside your helpdesk. Turning each one into a ticket gives support a queue, an SLA, and an audit trail instead of a scroll-back through a feed.

How it works

  1. 1A schedule triggers an Apify scrape of recent public mentions of your brand handles and keywords.
  2. 2An OpenAI call scores each mention's sentiment and assigns a severity from low to urgent.
  3. 3A filter drops anything that is not negative so only real complaints continue.
  4. 4A Zendesk ticket is created with the post text, author, link, and mapped priority.
  5. 5A Slack message notifies the on-call support lead with the ticket link.

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
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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