# Investigate scam URLs with URLScan.io and Telegram: n8n workflow

> Started by someone submitting a form, and works across Gmail, Telegram and n8n data table.

Source: https://millionrounds.com/workflow/investigate-scam-urls-with-urlscan-io-and-telegram (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Alerts and monitoring](https://millionrounds.com/workflows?category=Alerts+and+monitoring#library)

# Investigate scam URLs with URLScan.io and Telegram

Started by someone submitting a form, and works across Gmail, Telegram and n8n data table. 20 steps, 1 loop or waits: a working afternoon to understand properly.

Medium

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Finvestigate-scam-urls-with-urlscan-io-and-telegram)

**20 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**1** Loop or waits

**3** Services it connects to

## The flow

Starts it 1 Logic 8 Service 11

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

- 1 **When URL Submitted** Form trigger *Starts it*
- 2 **Parse Domain from URL** Code *Logic*
- 3 **Fetch RDAP Domain Info** Http Request *Service*
- 4 **Fetch Certificate Transparency Info** Http Request *Service*
- 5 **Fetch DNS A Record** Http Request *Service*
- 6 **Submit for URLScan.io Analysis** Http Request *Service*
- 7 **Fetch HTML of Scam Page** Http Request *Service*
- 8 **Merge Enrichment Data** Merge *Logic*
- 9 **Parse Resolved IP** Code *Logic*
- 10 **Wait 15 Seconds for Scan** Wait *Logic*
- 11 **Parse HTML Fingerprints** Code *Logic*
- 12 **Combine All Findings** Code *Logic*
- 13 **Fetch IP Hosting Info** Http Request *Service*
- 14 **Fetch URLScan.io Results** Http Request *Service*
- 15 **Retrieve Case Logs** Data Table *Service*
- 16 **Analyze Fingerprint Correlations** Code *Logic*
- 17 **Prepare Report Format** Code *Logic*
- 18 **Log Case Data** Data Table *Service*
- 19 **Compose Abuse Report Email** Gmail *Service*
- 20 **Dispatch Telegram Report** Telegram *Service*

## How it's built

- **Starts on:** Someone submitting a form
- **Steps:** 20, 1 loop or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Gmail, Telegram, n8n data table
- **Model:** None. This is plumbing, not judgement

## Questions

What does it need to run?

An n8n account, plus your own Gmail and Telegram accounts. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone submitting a form.

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?

Plan an afternoon. 20 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 20 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%2Finvestigate-scam-urls-with-urlscan-io-and-telegram)
- **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.

## Connects to

Each opens the other workflows that use it.

[Gmail](https://millionrounds.com/workflows?service=Gmail#library)[Telegram](https://millionrounds.com/workflows?service=Telegram#library)[n8n data table](https://millionrounds.com/workflows?service=n8n+data+table#library)

## Workflows like it

Also alerts and monitoring, with the same services where possible, closest in size first.

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