AI-powered news update bot for Zalo using Gemini and RSS feeds

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Important notice

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

1. Workflow Overview

How it works AI Powered News Update Bot for Zalo using Gemini and RSS Feeds This workflow allows you to build a smart Zalo chatbot that automatically summarizes and delivers the latest news usin...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.memorymongodbchat, n8n-nodes-base.stickynote, n8n-nodes-base.rssfeedreadtool, n8n-nodes-base.webhook, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Nguyễn Thiệu Toàn (Jay Nguyen).

Original n8n.io source

1.1 Workflow description

Title: AI-powered news update bot for Zalo using Gemini and RSS feeds
Workflow name: AI-powered news update bot for Zalo using Gemini and RSS feeds

How it works

🧠 AI-Powered News Update Bot for Zalo using Gemini and RSS Feeds

This workflow allows you to build a smart Zalo chatbot that automatically summarizes and delivers the latest news using Google Gemini and RSS feeds. It’s perfect for keeping users informed with AI-curated updates directly inside Vietnam’s most popular messaging app.

🚀 What It Does

Receives user messages via Zalo Bot webhook
Fetches the latest articles from an RSS feed (e.g., AI news)
Summarizes the content using Google Gemini
Formats the response and sends it back to the user on Zalo

📱 What Is Zalo?

Zalo is Vietnam’s leading instant messaging app, with over 78 million monthly active users—more than 85% of the country’s internet-connected population. It handles 2 billion messages per day and is deeply embedded in Vietnamese daily life, making it a powerful channel for communication and automation.

🔧 Setup Instructions

1. Create a Zalo Bot

Open the Zalo app and search for "Zalo Bot Creator"
Tap "Create Zalo Bot Account"
Your bot name must start with "Bot" (e.g., Bot AI News)
After creation, Zalo will send you a message containing your Bot Token

2. Configure the Webhook

Replace [your-webhook URL] in Zalo Bot Creator with your n8n webhook URL
Use the Webhook node in this workflow to receive incoming messages

3. Set Up Gemini

Add your Gemini API key to the HTTP Request node labeled Summarize AI News
Customize the prompt if you want a different tone or summary style

4. Customize RSS Feed

Replace the default RSS URL with your preferred news source
You can use any feed that provides timely updates (e.g., tech, finance, health)

🧪 Example Interaction

User: "What's new today?"
Bot: "🧠 AI Update: Google launches Gemini 2 with multimodal capabilities, revolutionizing how models understand text, image, and code..."

⚠️ Notes

Zalo Bots currently do not support images, voice, or file attachments
Make sure your Gemini API key has access to the model you're calling
RSS feeds should be publicly accessible and well-formatted

🧩 Nodes Used

Webhook
HTTP Request (Gemini)
RSS Feed Read
Set & Format
Zalo Message Sender (via API)

💡 Tips

You can swap Gemini with GPT-4 or Claude by adjusting the API call
Add filters to the RSS node to only include articles with specific keywords
Use the Function node to personalize responses based on user history

Built by Nguyen Thieu Toan (Nguyễn Thiệu Toàn) (https://nguyenthieutoan.com). Read more about this workflow by Vietnamese: https://nguyenthieutoan.com/share-workflow-n8n-zalo-bot-cap-nhat-tin-tuc/

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 - MongoDB Chat Memory

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

Block 2 - Sticky Note

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

Block 3 - Sticky Note1

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

Block 4 - Sticky Note2

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

Block 5 - Sticky Note3

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

Block 6 - rss_read

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

Block 7 - Sticky Note4

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

Block 8 - Receive Zalo Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

Block 9 - Send Typing Action to Zalo

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 10 - Delete Zalo Webhook

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 11 - Set Zalo Webhook

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 12 - Summarize AI News

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 13 - Gemini Language Model

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

Block 14 - Parse Structured AI Output

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 15 - Extract, Clean and Chunk Message Text

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 16 - Send Zalo Message

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 17 - Send Zalo Message1

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 18 - Sticky Note5

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

3. Summary Table

Workflow	AI-powered news update bot for Zalo using Gemini and RSS feeds
Complexity	advanced
Nodes	18
Categories	Support Chatbot, AI Chatbot
Author	Nguyễn Thiệu Toàn (Jay Nguyen)
Published	09 Sept 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/8408/8408.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 Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does AI-powered news update bot for Zalo using Gemini and RSS feeds do?

How it works AI Powered News Update Bot for Zalo using Gemini and RSS Feeds This workflow allows you to build a smart Zalo chatbot that automatically summarizes and delivers the latest news usin...

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 Support Chatbot, AI Chatbot use case.

Nguyễn Thiệu Toàn (Jay Nguyen)

20 workflows

Nodes

@n8n/n8n-nodes-langchain.memorymongodbchat n8n-nodes-base.stickynote n8n-nodes-base.rssfeedreadtool n8n-nodes-base.webhook n8n-nodes-base.httprequest @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.outputparserstructured

Complexity

advanced

Published 09 Sept 2025

Likes 0

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Install path: /data/workflows/8408/8408.json

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AI-powered news update bot for Zalo using Gemini and RSS feeds

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

🧠 AI-Powered News Update Bot for Zalo using Gemini and RSS Feeds

🚀 What It Does

📱 What Is Zalo?

🔧 Setup Instructions

1. Create a Zalo Bot

2. Configure the Webhook

3. Set Up Gemini

4. Customize RSS Feed

🧪 Example Interaction

⚠️ Notes

🧩 Nodes Used

💡 Tips

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - MongoDB Chat Memory

Block 2 - Sticky Note

Block 3 - Sticky Note1

Block 4 - Sticky Note2

Block 5 - Sticky Note3

Block 6 - rss_read

Block 7 - Sticky Note4

Block 8 - Receive Zalo Webhook

Block 9 - Send Typing Action to Zalo

Block 10 - Delete Zalo Webhook

Block 11 - Set Zalo Webhook

Block 12 - Summarize AI News

Block 13 - Gemini Language Model

Block 14 - Parse Structured AI Output

Block 15 - Extract, Clean and Chunk Message Text

Block 16 - Send Zalo Message

Block 17 - Send Zalo Message1

Block 18 - Sticky Note5

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