Summarize article URLs with Google Gemini AI from WordPress and blogs

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1. Workflow Overview

This n8n template automates the extraction and summarization of long form articles, blogs, or WordPress posts using an interactive Chat Interface and Gem...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.set, n8n-nodes-base.if, n8n-nodes-base.httprequest, n8n-nodes-base.html, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.stickynote

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: Summarize article URLs with Google Gemini AI from WordPress and blogs
Workflow name: Summarize article URLs with Google Gemini AI from WordPress and blogs

This n8n template automates the extraction and summarization of long-form articles, blogs, or WordPress posts using an interactive Chat Interface and Gemini AI. If you like staying informed but want to reduce daily reading time and bypass webpage clutter, this workflow is perfect for you.

How it works

Input phase: You paste an article URL directly into the n8n Chat interface. The workflow verifies the format to ensure it's a valid link.
Extraction phase: The HTTP Request node fetches the raw webpage. Then, the HTML Extract node acts as a smart filter, stripping away ads, navigation bars, comments, and footers to isolate the pure article text.
Summarization phase: The cleaned content is sent to an AI Agent powered by Google Gemini. Guided by a customized system prompt, the AI generates a structured, bulleted summary highlighting the core insights of the article.

How to use

Connect credentials: Link your Google Gemini API key in the Chat Model node.
Test the flow: Open the "Chat" panel in your n8n workspace.
Input data: Paste a blog or news URL and hit send.
Activate: Save and activate the workflow to make it permanently accessible.

Requirements

n8n Version: Built and tested on n8n 2.9.4+. (Note: You may encounter errors on older versions. It is highly recommended to update to the latest n8n version to use this workflow effectively).
Google Gemini API Key: Required for the AI summarization step.

Customizing this workflow

Change the input source: Swap the Chat Trigger for a Telegram Bot or Slack trigger to summarize links directly from your mobile messaging apps.
Refine the AI output: Edit the system prompt inside the AI Agent to change the language, tone, or format (e.g., requesting a 3-sentence summary or a Twitter-ready thread).
Store the data: Add a Google Sheets or Notion node at the end to build a personal knowledge base of all the articles you've summarized.

About the Author

Created by: Nguyen Thieu Toan (Jay Nguyen) Email: [email protected] Website: nguyenthieutoan.com Company: CEO/Founder of GenStaff (genstaff.net) - AI Staffing Solutions Socials (Facebook / X / LinkedIn): @nguyenthieutoan More templates: n8n.io/creators/nguyenthieutoan

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 - Chat Trigger

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.4

Block 2 - Extract URL

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 3 - Check Valid URL

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 4 - Fetch Webpage

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 5 - Extract HTML Content

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

Block 6 - AI Summarizer

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 7 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1.1

Block 8 - Main Overview

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

Block 9 - Section 1

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

Block 10 - Section 2

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

Block 11 - Section 3

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

Block 12 - Warning

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

Block 13 - Author Message

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

3. Summary Table

Workflow	Summarize article URLs with Google Gemini AI from WordPress and blogs
Complexity	intermediate
Nodes	13
Categories	Document Extraction, AI Chatbot
Author	Nguyễn Thiệu Toàn (Jay Nguyen)
Published	18 May 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/15799/15799.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 Summarize article URLs with Google Gemini AI from WordPress and blogs do?

This n8n template automates the extraction and summarization of long form articles, blogs, or WordPress posts using an interactive Chat Interface and Gem...

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.

Nguyễn Thiệu Toàn (Jay Nguyen)

20 workflows

Nodes

@n8n/n8n-nodes-langchain.chattrigger n8n-nodes-base.set n8n-nodes-base.if n8n-nodes-base.httprequest n8n-nodes-base.html @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.stickynote

Complexity

intermediate

Published 18 May 2026

Likes 0

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Install path: /data/workflows/15799/15799.json

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Summarize article URLs with Google Gemini AI from WordPress and blogs

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

How to use

Requirements

Customizing this workflow

About the Author

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Chat Trigger

Block 2 - Extract URL

Block 3 - Check Valid URL

Block 4 - Fetch Webpage

Block 5 - Extract HTML Content

Block 6 - AI Summarizer

Block 7 - Google Gemini Chat Model

Block 8 - Main Overview

Block 9 - Section 1

Block 10 - Section 2

Block 11 - Section 3

Block 12 - Warning

Block 13 - Author Message

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