Automation library · Research and reporting

Advanced multi-source AI research with Bright Data and OpenAI

Started by another system calling it, and works across Email, Redis, Slack and n8n data table. It hands the judgement calls to OpenAI. 37 steps, 2 branches: large, and worth reading before you trust it with anything live.

LargeCalls a model: OpenAI

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37 stepsLarge: read it before trusting it with anything live
2Branches: places the flow splits
0Loops or waits
4Services it connects to

The flow

Starts it 3Model 19Logic 8Service 7

The steps in the order they run, from what starts it.

  1. 1Webhook EntryWebhookStarts it
  2. 2Reasoning Output ParserOutput Parser StructuredModel
  3. 3GPT-4o (Reasoning)Lm Chat Open AiModel
  4. 4Optimizer Output ParserOutput Parser StructuredModel
  5. 5GPT-4o Mini (Optimizer)Lm Chat Open AiModel
  6. 6Bright Data MCP ToolMcp Client ToolModel
  7. 7Search Output ParserOutput Parser StructuredModel
  8. 8GPT-4o (Search)Lm Chat Open AiModel
  9. 9Extraction Output ParserOutput Parser StructuredModel
  10. 10GPT-4o (Extraction)Lm Chat Open AiModel
  11. 11Validation Output ParserOutput Parser StructuredModel
  12. 12GPT-4o Mini (Validation)Lm Chat Open AiModel
  13. 13Summary Output ParserOutput Parser StructuredModel
  14. 14GPT-4o (Summarizer)Lm Chat Open AiModel
  15. 15Set VariablesSetLogic
  16. 16Multi-Step Reasoning AgentAgentModel
  17. 17Query Optimizer AgentAgentModel
  18. 18Multi-Source Search AgentAgentModel
  19. 19Advanced Data Extraction & AnalysisChain LlmModel
  20. 20Source Validation AgentAgentModel
  21. 21Smart Summarizer with ContextAgentModel
  22. 22Cache CheckRedisService
  23. 23Split Sub-QueriesSplit OutLogic
  24. 24Split URLs for Parallel ScrapingSplit OutLogic
  25. 25Filter Valid SourcesIfLogic
  26. 26Store in CacheRedisService
  27. 27Check Cache HitIfLogic
  28. 28Parallel Web ScrapingHttp RequestService
  29. 29Aggregate All ResultsAggregateLogic
  30. 30Prepare OutputsSetLogic
  31. 31Return Cached ResultRespond To WebhookStarts it
  32. 32Log Cache HitData TableService
  33. 33Rate Limit CheckCodeLogic
  34. 34Respond to WebhookRespond To WebhookStarts it
  35. 35Send Slack NotificationSlackService
  36. 36Send Email ReportEmail SendService
  37. 37Log to DataTableData TableService

How it's built

Starts on
Another system calling it
Steps
37, with 2 branches
Size
Large: read it before trusting it with anything live
Connects to
Email, Redis, Slack, n8n data table
Model
OpenAI

Questions

What does it need to run?

An n8n account, plus your own Email, Redis and Slack accounts, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls OpenAI. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 37 steps it is large: read it before trusting it with anything live.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 37 steps before you point it at anything that matters.