# Automated meeting attendance tagging for Zoom Webinars: n8n workflow

> Started by another system calling it. It calls services over plain HTTP rather than through connectors.

Source: https://millionrounds.com/workflow/automated-meeting-attendance-tagging-for-zoom-webinars (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Scheduling](https://millionrounds.com/workflows?category=Scheduling#library)

# Automated meeting attendance tagging for Zoom Webinars

Started by another system calling it. It calls services over plain HTTP rather than through connectors. 25 steps, 7 branches, 1 loop or waits: large, and worth reading before you trust it with anything live.

Large

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fautomated-meeting-attendance-tagging-for-zoom-webinars)

**25 steps** Large: read it before trusting it with anything live

**7** Branches: places the flow splits

**1** Loop or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 3 Logic 13 Service 9

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

- 1 **Listen to ending Zoom webinars** Webhook *Starts it*
- 2 **URL Validation check** If *Logic*
- 3 **Crypto** Crypto *Service*
- 4 **Build Normal Event Body** Set *Logic*
- 5 **Build Validation Body** Set *Logic*
- 6 **Respond to Webhook (Events)** Respond To Webhook *Starts it*
- 7 **Respond to Webhook (Validation)** Respond To Webhook *Starts it*
- 8 **Wait 1 second** Wait *Logic*
- 9 **Get past Zoom webinar absentees** Http Request *Service*
- 10 **Get past Zoom webinar participants** Http Request *Service*
- 11 **Split webinar absentees** Split Out *Logic*
- 12 **Split webinar participants** Split Out *Logic*
- 13 **Route by meeting name1** Switch *Logic*
- 14 **Filter internal users** Filter *Logic*
- 15 **Tag absentee for non attendance** Klicktipp *Service*
- 16 **Tag absentee for non attendance1** Klicktipp *Service*
- 17 **Route by webinar name** Switch *Logic*
- 18 **Check full attendance** If *Logic*
- 19 **Check full attendance1** If *Logic*
- 20 **Tag participant for full attendance** Klicktipp *Service*
- 21 **Check general attendance** If *Logic*
- 22 **Tag participant with full attendance1** Klicktipp *Service*
- 23 **Check general attendance1** If *Logic*
- 24 **Tag participant for general attendance** Klicktipp *Service*
- 25 **Tag participant for general attendance1** Klicktipp *Service*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 25, with 7 branches, 1 loop or waits
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** None. This is plumbing, not judgement

## Questions

What does it need to run?

An n8n account. 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?

No. Every step is fixed logic or a call to a service, so it does the same thing every time.

How long does it take to set up?

Take your time. At 25 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 25 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fautomated-meeting-attendance-tagging-for-zoom-webinars)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

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