AI Agents

Receive Telegram messages and save them to Airtable intelligently

36 nodes 260 129 Automatic trigger
Download

Workflow Description

Capture messages from Telegram and automatically transform them into organized records in Airtable using an intelligent agent that understands context and extracts data without manual intervention.

How it works

  1. 1.Receive incoming message from Telegram channel or group
  2. 2.Process message text through an AI agent powered by OpenAI to extract meaningful data
  3. 3.Store extracted information as a new record in your Airtable table

Use cases

  • Automatically collect customer feedback from Telegram groups and organize it in a structured database
  • Log support requests or inquiries from Telegram channels directly into Airtable for tracking

Requirements

  • Active Telegram account with permission to create or add a bot to your group or channel
  • Airtable base with a pre-configured table ready to receive new records
  • OpenAI API key to enable intelligent message processing and data extraction

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

Memory OpenAI Telegram Airtable Twitter/X Code Tool HTTP Request AI Agent

Details

Trigger Automatic trigger
Nodes 36
Apps 9
Views 260
Downloads 129

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (36)

/

Simple Memory

Memory Buffer Window

#1

OpenAI Chat Model

OpenAI

#2

Check permissions

Code

#3

Telegram Trigger

Set

#4

Set input

Set

#5

Get user permissions

Airtable

#6

When Executed by Another Workflow

Execute Workflow Trigger

#7

Settings

Set

#8

OpenAI Chat Model1

OpenAI

#9

Simple Memory1

Memory Buffer Window

#10

Check permissions1

Code

#11

list_granted_roles

Tool Code

#12

list_allowed_tools

Tool Code

#13

calculator

Tool Calculator

#14

Wikipedia

Tool Wikipedia

#15

get_coordinates

HTTP Request

#16

get_weather

HTTP Request

#17

weather_agent

Tool Workflow

#18

Weather Agent

Agent

#19

Unknown user

If

#20

Sticky Note

Sticky Note

#21

Sticky Note1

Sticky Note

#22

Sticky Note2

Sticky Note

#23

Sticky Note3

Sticky Note

#24

Sticky Note4

Sticky Note

#25

Sticky Note5

Sticky Note

#26

Sticky Note7

Sticky Note

#27

Sticky Note8

Sticky Note

#28

Sticky Note9

Sticky Note

#29

Reply: unknown user

Set

#30

Reply with results

Set

#31

Main Agent

Agent

#32

Sticky Note6

Sticky Note

#33

Sticky Note10

Sticky Note

#34

Sticky Note11

Sticky Note

#35

Sticky Note12

Sticky Note

#36