OTHER

Marketplace Counterfeit Listing Monitor with Legal Escalation

Scrapes online marketplaces for counterfeit listings using your brand name, alerts the brand team in Slack for fast review.

CategoryOther
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled marketplace scan begins
  • ActionApify scrapes marketplace listings for the brandApify
  • ActionOpenAI scores counterfeit likelihoodOpenAI
  • LogicSplit high-confidence from borderline listings
  • ActionPost borderline listings to Slack for reviewSlack
  • OutputEscalate counterfeits to Airtable legal queueAirtableAirtable

What it does

Watches marketplaces and seller pages for listings that use your brand name to sell counterfeit or unauthorized goods. It pushes fast Slack alerts so the brand team can eyeball borderline listings, while clear-cut counterfeits are escalated straight into a legal case record for takedown action.

When to use it

Use it when knockoffs of your products show up on marketplaces and resale sites faster than your team can manually search. The Slack-in-the-loop step keeps a human on the gray-area calls without slowing down obvious counterfeits.

How it works

  1. 1A scheduled run begins the marketplace scan.
  2. 2Apify scrapes marketplace search results for listings naming your brand.
  3. 3An OpenAI step scores each listing for counterfeit likelihood from title, price, and seller signals.
  4. 4A logic branch separates high-confidence counterfeits from borderline listings.
  5. 5Borderline listings post to a Slack channel for human review.
  6. 6High-confidence counterfeits are written to the Airtable legal queue with listing evidence.

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 SlackChannels, DMs, threads, mentions.
  4. 4
    Connect AirtableBases, tables, views, automations.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.