# Handle restaurant bookings with Telegram and DeepSeek: n8n workflow

> Started by an incoming Telegram message, and works across Airtable, Google Calendar and Telegram.

Source: https://millionrounds.com/workflow/handle-restaurant-bookings-with-telegram-and-deepseek (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)

# Handle restaurant bookings with Telegram and DeepSeek

Started by an incoming Telegram message, and works across Airtable, Google Calendar and Telegram. It puts DeepSeek behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 15 steps: a working afternoon to understand properly.

Medium Calls a model: DeepSeek Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fhandle-restaurant-bookings-with-telegram-and-deepseek)

**15 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**3** Services it connects to

## The flow

Starts it 1 Model 3 Service 11

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

- 1 **Telegram Trigger** Telegram trigger *Starts it*
- 2 **Session Memory** Memory Buffer Window *Model*
- 3 **Search Menu** Airtable Tool *Service*
- 4 **Check Availability** Google Calendar Tool *Service*
- 5 **Create Calendar Event** Google Calendar Tool *Service*
- 6 **Create Booking Record** Http Request Tool *Service*
- 7 **Search Booking** Airtable Tool *Service*
- 8 **Delete Calendar Event** Google Calendar Tool *Service*
- 9 **Cancel Booking Record** Http Request Tool *Service*
- 10 **DeepSeek Chat Model** Lm Chat Deep Seek *Model*
- 11 **Escalate to Human** Http Request Tool *Service*
- 12 **Notify Staff** Telegram Tool *Service*
- 13 **AI Agent** Agent *Model*
- 14 **Log Call** Http Request *Service*
- 15 **Send Telegram Reply** Telegram *Service*

## How it's built

- **Starts on:** An incoming Telegram message
- **Steps:** 15
- **Size:** Medium: a working afternoon
- **Connects to:** Airtable, Google Calendar, Telegram
- **Model:** DeepSeek
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own Airtable, Google Calendar and Telegram accounts, and a key for DeepSeek. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an incoming Telegram message.

Does it use AI?

Yes. It calls DeepSeek. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 15 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 15 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%2Fhandle-restaurant-bookings-with-telegram-and-deepseek)
- **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.

[Airtable](https://millionrounds.com/workflows?service=Airtable#library)[Google Calendar](https://millionrounds.com/workflows?service=Google+Calendar#library)[Telegram](https://millionrounds.com/workflows?service=Telegram#library)

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Also scheduling, with the same services where possible, closest in size first.

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