SOCIAL MEDIA

Turn angry Reddit complaints into routed Zendesk tickets

Scrapes new posts and comments mentioning your product on Reddit, isolates the genuinely angry support complaints.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled Reddit scrape
  • ActionPull new product mentions with ApifyApify
  • ActionScore anger, classify, and draft reply with OpenAIOpenAI
  • LogicKeep only angry complaints
  • LogicMap complaint type to Zendesk group
  • OutputCreate routed Zendesk ticket with draft replyZendeskZendesk

What it does

Watches Reddit for new mentions of your product, separates angry support complaints from neutral discussion and praise, and creates a Zendesk ticket for each real complaint. The LLM tags the issue type and drafts a suggested response so an agent can reply fast, routed to the correct Zendesk group.

When to use it

Use this when frustrated users vent on Reddit instead of opening a support ticket, and those threads escalate publicly while support never hears about them. It converts public anger into trackable, owned support work.

How it works

  1. 1A schedule triggers a periodic scrape.
  2. 2Apify pulls new posts and comments mentioning your product from target subreddits.
  3. 3OpenAI scores anger, classifies the complaint type, and drafts a suggested reply.
  4. 4A logic step keeps only angry complaints, discarding neutral or positive mentions.
  5. 5A logic step maps the complaint type to the owning Zendesk group.
  6. 6Zendesk creates a ticket with the post link, anger score, category, and draft reply.

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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