Automation library · Data collection

Send daily brand mention digests to Slack with ScraperAPI

Started by a clock, and works across Slack and n8n data table. It hands the judgement calls to OpenAI. 13 steps: a working afternoon to understand properly.

MediumCalls a model: OpenAI

13 stepsMedium: a working afternoon
0Branches: places the flow splits
0Loops or waits
2Services it connects to

The flow

Starts it 1Model 2Logic 5Service 5

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

  1. 1Every Morning at 8amSchedule triggerStarts it
  2. 2OpenAI GPT-5 MiniLm Chat Open AiModel
  3. 3ConfigureSetLogic
  4. 4Summarize into DigestChain LlmModel
  5. 5Init Seen TableData TableService
  6. 6Compose Digest MessageCodeLogic
  7. 7Read Seen ArticlesData TableService
  8. 8Post Digest to SlackSlackService
  9. 9Expand Search TermsCodeLogic
  10. 10Fetch Google News via ScraperAPIScraper ApiService
  11. 11Keep Only New ArticlesCodeLogic
  12. 12Append New ArticlesData TableService
  13. 13Build Digest InputCodeLogic

How it's built

Starts on
A clock
Steps
13
Size
Medium: a working afternoon
Connects to
Slack, n8n data table
Model
OpenAI

Questions

What does it need to run?

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

What starts it?

It starts on a clock.

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?

Plan an afternoon. 13 steps is enough that you should read each one before running it.

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 13 steps before you point it at anything that matters.