How to build an AI content automated distribution system with n8n + ChatGPT: a complete 30-minute tutorial

Tutorial Objectives

In 30 minutes, complete a complete AI content automated distribution system. From RSS feed monitoring, AI rewriting and polishing, to automatic publishing to WeChat public accounts and websites. This article is a complete step-by-step tutorial that you can get started with.

What will you build?

• Automated Content Collector: Scan designated RSS sources regularly to grab the latest articles
• AI Content Rewriting Engine: Use ChatGPT API to summarize, rewrite, and localize the original text
• Multi-platform automatic distribution: The rewritten content will be automatically stored in the draft box for you to review and publish.

Preparation list

• n8n account (self-hosting is free, or use n8n Cloud hosting version, monthly fee starts at $20)
• OpenAI API Key (requires ChatGPT API access permission)
• RSS source address (at least 1-2 industry sites you follow)
• Basic understanding of HTTP/Webhook concepts (zero foundation is also acceptable, just follow the steps)

Overall architecture

The teaching process is broken down into 4 modules and can be advanced in order.

Step 1: Build the n8n workflow basic framework

First log into your n8n instance. If you are using self-hosting, access http://localhost:5678 to enter the editor. If it is n8n Cloud (recommended for novices to save server operation and maintenance costs), log in directly on the official website.

After creating a new workflow, the first step is to configure the RSS Feed Read node:

1. Enter "RSS" in the node search bar and select the RSS Feed Read node
2. Enter your RSS source address in the URL field (e.g. https://example.com/feed.xml)
3. Set Polling Interval to every 1 hour (Every Hour)
4. Click "Execute Node" to test the connection and confirm that the article list can be successfully pulled.

Tip: When testing for the first time, it is recommended to choose an actively updated RSS source, such as the feed of a well-known technology blog. Do not set the frequency too short (less than 30 minutes) to avoid triggering source site current limiting.

The output data structure is as follows:

{
 "title": "",
 "content": "（HTML ）",
 "link": "",
  "pubDate": "2026-04-29T00:00:00.000Z"
}

2 AI

—— ChatGPT API 。

OpenAI （n8n OpenAI ， Credentials API Key）

Messages System Prompt

。/。
1.
2.
3. 300-500
4. 、
5. 3 bullet points

User Message RSS Read {{ $json.content }}

**** token ，「HTML to Text」， tokens 。

n8n（affiliate link），，。

3

，。 Google Sheets ——、、。

Google Sheets

1. Google Sheets OAuth2 （n8n ）
2. Operation: Append or Update Row

，，。 Google Sheets ，。

4 （ / Telegram）

。。

Telegram （ Webhook ）

1. Telegram Bot（ @BotFather）， Bot Token
2. n8n Telegram Credentials
3. Message

📩

{{ $json.title }}
{{ $json.choices[0].message.content }}

 Google Sheets 。

， Webhook ，。

（FAQ）

Q1RSS ？

RSS URL 。 User-Agent —— RSS Feed Read HTTP Headers。 JavaScript （ Medium ），RSS ， n8n HTML CSS Selector。

Q2OpenAI API Rate Limit？

gpt-4o-mini ， RSS 50 （），「Split In Batches」， 5 ， 1 。

Q3Google Sheets ？

OAuth token 。 n8n Credentials 。 Google Sheets （Header Row），。

Q4？

。 Google Sheets Webhook ， API（）。，。A real case of a data analyst using Claude Code + n8n to build an automated report SaaS with a monthly income of $3,800，。

SEO+GEOFAQ GEO ，

（）

， tools hover-card n8n、OpenAI、ChatGPT、Claude、Webhook、Google Sheets

Reference video/material

• n8n
• OpenAI API

Internal link guidance

• Someone has successfully practiced it: A real case of a data analyst using Claude Code + n8n to build an automated report SaaS with a monthly income of $3,800
• Recommended reading: Indie Developer: n8n + OpenClaw Automation Workflow Earning $5,000/mo