Catch lookalike domains with Bright Data, GPT-5.6 and Slack

by Daniel Shashko ✓ · 0 views · created 2026-08-27

What this workflow does

This AI workflow has 20 nodes and runs on a schedule (every day at 07:00). Along the way it connects OpenAI Chat Model and Slack. It also calls api.brightdata.com over HTTP.

How it runs

Trigger: On a schedule (every day at 07:00).

1. Settings (Edit Fields (Set)): sets 10 fields: brand_name, your_domain, domains_you_own…
2. Generate The Lookalikes (Code): runs custom JavaScript code
3. Search For Impostors (HTTP Request): calls api.brightdata.com (POST)
4. Combine Both Lanes (Merge): merges the data from its input branches
5. Read The Search Hits (Code): runs custom JavaScript code
6. Read The Last Sweep (Data table): get
7. Build The Candidate List (Code): runs custom JavaScript code
8. Fetch Every Candidate (HTTP Request): calls api.brightdata.com (POST)
9. Classify What Came Back (Code): runs custom JavaScript code
10. Only The Live Ones (Code): runs custom JavaScript code

…plus 7 more steps. See the full node list below.

Services it uses

OpenAI Chat ModelSlack

HTTP calls to: api.brightdata.com

Before you upgrade to n8n 3.0

Nodes used (11)

• Schedule Triggern8n-nodes-base.scheduleTrigger
• Edit Fields (Set)n8n-nodes-base.set
• Coden8n-nodes-base.code
• HTTP Requestn8n-nodes-base.httpRequest
• Mergen8n-nodes-base.merge
• Data tablen8n-nodes-base.dataTable
• Information Extractor@n8n/n8n-nodes-langchain.informationExtractor
• OpenAI Chat Model@n8n/n8n-nodes-langchain.lmChatOpenAi
• Ifn8n-nodes-base.if
• Slackn8n-nodes-base.slack
• No Operation, do nothingn8n-nodes-base.noOp

From the author

Quick Overview This workflow runs every morning to generate likely typosquat domains for your brand, discovers additional candidates via Bright Data SERP search, fetches each site through Bright Data Web Unlocker, uses OpenAI GPT-5.6 to judge live pages,…

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