AWS S3 and Telegram integration

Save yourself the work of writing custom integrations for AWS S3 and Telegram and use n8n instead. Build adaptable and scalable Development, Data & Storage, and Communication workflows that work with your technology stack. All within a building experience you will love.

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How to connect AWS S3 and Telegram

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Step 2: Add and configure AWS S3 and Telegram nodes

You can find AWS S3 and Telegram in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure AWS S3 and Telegram nodes one by one: input data on the left, parameters in the middle, and output data on the right.

AWS S3 and Telegram integration: Add and configure AWS S3 and Telegram nodes

Step 3: Connect AWS S3 and Telegram

A connection establishes a link between AWS S3 and Telegram (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

AWS S3 and Telegram integration: Connect AWS S3 and Telegram

Step 4: Customize and extend your AWS S3 and Telegram integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect AWS S3 and Telegram with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

AWS S3 and Telegram integration: Customize and extend your AWS S3 and Telegram integration

Step 5: Test and activate your AWS S3 and Telegram workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from AWS S3 to Telegram or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

AWS S3 and Telegram integration: Test and activate your AWS S3 and Telegram workflow

Extract and store text from chat images using AWS S3

This workflow extracts text from images sent in a Telegram chat and uploads the images to AWS S3.

workflow-screenshot

Telegram Trigger node triggers the workflow when an image is sent in a Telegram channel.
AWS S3 node uploads the sent image to an S3 bucket.
AWS Textract node extracts text from the image.
Airtable node adds the extracted text and image information to a table.

Nodes used in this workflow

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Popular AWS S3 and Telegram workflows

Extract and store text from chat images using AWS S3

This workflow extracts text from images sent in a Telegram chat and uploads the images to AWS S3. Telegram Trigger node** triggers the workflow when an image is sent in a Telegram channel. AWS S3 node** uploads the sent image to an S3 bucket. AWS Textract node** extracts text from the image. Airtable node** adds the extracted text and image information to a table.

Build your own AWS S3 and Telegram integration

Create custom AWS S3 and Telegram workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

AWS S3 supported actions

Bucket
File
Folder

Create

Create a bucket

Delete

Delete a bucket

Get Many

Get many buckets

Search within a bucket

Copy

Copy a file

Delete

Delete a file

Download

Download a file

Get Many

Get many files

Upload

Upload a file

Create

Create a folder

Delete

Delete a folder

Get Many

Get many folders

Telegram supported actions

Chat
Callback
File
Message

Get

Get up to date information about a chat

Get Administrators

Get the Administrators of a chat

Get Member

Get the member of a chat

Leave

Leave a group, supergroup or channel

Set Description

Set the description of a chat

Set Title

Set the title of a chat

Answer Query

Send answer to callback query sent from inline keyboard

Answer Inline Query

Send answer to callback query sent from inline bot

Get

Get a file

Delete Chat Message

Delete a chat message

Edit Message Text

Edit a text message

Pin Chat Message

Pin a chat message

Send Animation

Send an animated file

Send Audio

Send a audio file

Send Chat Action

Send a chat action

Send Document

Send a document

Send Location

Send a location

Send Media Group

Send group of photos or videos to album

Send Message

Send a text message

Send Photo

Send a photo

Send Sticker

Send a sticker

Send Video

Send a video

Unpin Chat Message

Unpin a chat message

AWS S3 and Telegram integration details

Amazon S3 (Simple Storage Service) helps you retrieve any amount of data from anywhere. It is a scalable object storage service that offers unmatched data availability, security and performance. What makes it special is its cost effective options and easy-to-use environment.

AWS S3 node docs + examples

AWS S3 credential docs

See AWS S3 integrations

Related categories

Development

Data & Storage

Telegram is one of the fastest and most secured messaging apps on the market, connecting people via unique distributed network of data centers around the globe. You can create group chats up to 200,000 members, share large videos and documents of any type. It is completely free, and offers many unique features and options.

Telegram node docs + examples

Telegram credential docs

See Telegram integrations

Related categories

Communication

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Other integrations with Telegram

AWS S3 and Telegram integration tutorials

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