Conversational Razorpay Analytics with Google Gemini & Telegram Bot

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Description Access your Razorpay insights instantly from Telegram—no dashboard, filters, or manual queries needed. Simply send messages like “show my payments”, “list recent orders”, or “check r...

Best for

Document Extraction automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

@razorpay/n8n-nodes-razorpay.razorpay, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.telegram, n8n-nodes-base.telegramtrigger, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.merge, n8n-nodes-base.if

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Himanshu.

Original n8n.io source

1.1 Workflow description

Title: Conversational Razorpay Analytics with Google Gemini & Telegram Bot
Workflow name: Conversational Razorpay Analytics with Google Gemini & Telegram Bot

📝 Description

Access your Razorpay insights instantly from Telegram—no dashboard, filters, or manual queries needed. Simply send messages like “show my payments”, “list recent orders”, or “check refunds”, and the bot retrieves the latest information from your Razorpay merchant account in seconds.

Powered by AI, the workflow understands your message, fetches the relevant Razorpay data, and transforms it into a clear, easy-to-read summary. Everything is delivered back to you within the same Telegram chat, giving you fast, convenient, and conversational access to your business analytics.

⚙️ How It Works

1. Trigger — Telegram Bot Message

The workflow starts when a user sends a message to your Telegram bot via the Telegram Trigger node.

2. Intent Classification

An AI model analyzes the incoming message and identifies what the user is asking for.

🔹 Orders Intent

Retrieves order information from Razorpay

Handles pagination and filtering logic

Uses AI to generate order summaries and insights

🔹 Refunds Intent

Queries Razorpay for refund events

Computes refund totals and status breakdowns

Produces formatted summaries with the AI model

🔹 General Chat Intent

Handles all non-transactional or fallback messages. Useful for:

💡 Use Cases

Get instant Razorpay payment analytics in Telegram
Retrieve daily or weekly order summaries
View recent refund activity
Provide your team with quick insight access directly from chat
Automate repetitive Razorpay queries without dashboards

🧰 Requirements

Razorpay API Credentials (Key ID + Key Secret) here
Telegram Bot Token

🚀 Setup Instructions

Import this workflow into your n8n workspace.

Add and configure your Razorpay and Telegram credentials.

Activate the workflow.

Start chatting with your Telegram bot to receive Razorpay insights on demand.

🖼️ Workflow Components

This workflow includes the following nodes:

Telegram Trigger – Receives user messages
AI Intent Classifier – Detects what the user wants
Payments Processor
Orders Processor
Refunds Processor
General Chat Processor
Merge + Telegram Reply – Sends final response

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Fetch all orders

Type / Role: @razorpay/n8n-nodes-razorpay.razorpay - razorpay
Config choices: Version 1

Block 2 - Orders

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 3 - Refunds

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 4 - Fetch all refunds

Type / Role: @razorpay/n8n-nodes-razorpay.razorpay - razorpay
Config choices: Version 1

Block 5 - AI Agent3

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 6 - Payments Processor

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 7 - Fetch all payments

Type / Role: @razorpay/n8n-nodes-razorpay.razorpay - razorpay
Config choices: Version 1

Block 8 - Send a text message

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 9 - Telegram Trigger

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.2

Block 10 - Workflow Overview

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Entry Point

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Intent Classification

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Routing Logic

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Payments Branch

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Orders Branch

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Refunds Branch

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - General Chat Branch

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Response Consolidation

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 19 - Google Gemini Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 20 - Intent Classifier

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 21 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 22 - Google Gemini Chat Model2

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 23 - Google Gemini Chat Model3

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 24 - Order Processing Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Showing the first 24 of 32 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Conversational Razorpay Analytics with Google Gemini & Telegram Bot
Complexity	advanced
Nodes	32
Categories	Document Extraction, AI Chatbot
Author	Himanshu
Published	14 Nov 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10815/10815.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows AI Chatbot workflows

Frequently asked questions

What does Conversational Razorpay Analytics with Google Gemini & Telegram Bot do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Chatbot use case.

Himanshu

1 workflow

Nodes

@razorpay/n8n-nodes-razorpay.razorpay @n8n/n8n-nodes-langchain.agent n8n-nodes-base.telegram n8n-nodes-base.telegramtrigger n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.merge n8n-nodes-base.if

Complexity

advanced

Published 14 Nov 2025

Likes 0

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Install path: /data/workflows/10815/10815.json

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Conversational Razorpay Analytics with Google Gemini & Telegram Bot

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

📝 Description

⚙️ How It Works

1. Trigger — Telegram Bot Message

2. Intent Classification

🔹 Orders Intent

🔹 Refunds Intent

🔹 General Chat Intent

💡 Use Cases

🧰 Requirements

🚀 Setup Instructions

🖼️ Workflow Components

This workflow includes the following nodes:

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Fetch all orders

Block 2 - Orders

Block 3 - Refunds

Block 4 - Fetch all refunds

Block 5 - AI Agent3

Block 6 - Payments Processor

Block 7 - Fetch all payments

Block 8 - Send a text message

Block 9 - Telegram Trigger

Block 10 - Workflow Overview

Block 11 - Entry Point

Block 12 - Intent Classification

Block 13 - Routing Logic

Block 14 - Payments Branch

Block 15 - Orders Branch

Block 16 - Refunds Branch

Block 17 - General Chat Branch

Block 18 - Response Consolidation

Block 19 - Google Gemini Chat Model1

Block 20 - Intent Classifier

Block 21 - Google Gemini Chat Model

Block 22 - Google Gemini Chat Model2

Block 23 - Google Gemini Chat Model3

Block 24 - Order Processing Agent

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions