How to use OpenClaw + ChatGPT to build an AI automatic content rewriting system: from long articles to multi-platform adaptation in 30 minutes

Tutorial Objectives

In 30 minutes, use OpenClaw and ChatGPT to build an automatic content rewriting pipeline - enter a long article and automatically generate rewritten versions suitable for different platforms. This article is a complete step-by-step tutorial, and you can get started with zero coding knowledge.

What will you build?

• Content Collection Module: Use OpenClaw to capture target articles or RSS updates
• AI rewriting engine: ChatGPT automatically rewrites long articles into three versions: Twitter, LinkedIn, and Newsletter
• Output Management: The rewriting results are automatically saved locally or synchronized to Notion

Preparation list

• OpenClaw Install and run (download from official website, free version available)
• ChatGPT / OpenAI API Key (obtained from platform.openai.com)
• Python 3.9+ operating environment (macOS/Linux is acceptable)

Overall architecture

The system is divided into 3 modules, from capture to rewriting to output, all orchestrated by OpenClaw's workflow engine.

Step 1: Configure OpenClaw content scraping workflow

The core advantage of OpenClaw is its visual workflow editor - no need to write code, drag and drop modules to complete complex capture and data processing logic.

1.1 Create workflow

Open the OpenClaw console, click "New Workflow" and select "Blank".

1.2 Configure HTTP input node

In the workflow editor, find the Input node (located under the "Trigger" category on the left panel) and drag it into the canvas. Configuration:

1.3 Add content crawling node

Drag the HTTP Fetcher node from the left panel and connect it to the Input node. This node is responsible for downloading the content of the target article.

1.4 Add content extraction node

Drag in the HTML Parser node and configure the CSS selector to extract the text content:

{
  "title": "h1.entry-title, article h1, .post-title",
  "content": "article .entry-content, .post-content, .article-body",
  "author": ".author-name, .byline"
}

****，（F12） CSS 。

{Tool: OpenClaw} ， HTML Parser CSS XPath ， Readability 。

2 ChatGPT

—— AI 。

2.1 OpenAI

OpenClaw ， AI / LLM ， OpenAI GPT-4o-mini 。

API Key（ OpenClaw ""）

# OpenClaw
OPENAI_API_KEY=sk-your-key-here

。 3

1. Twitter/X ≤280 ，， 2
2. LinkedIn 200-300 ，，，
3. Newsletter 500-800 ， + 3 +

---
{{$input.content}}
---

 JSON
{
  "twitter": "...",
  "linkedin": "...",
  "newsletter": "..."
}

2.2 JSON

JSON Parser ， OpenAI JSON （twitter_text、linkedin_text、newsletter_text），。

3

。

3.1

File Writer ， Markdown

3.2 Telegram （）

Telegram Bot ，

Indie Developer: n8n + OpenClaw Automation Workflow Earning $5,000/mo。， n8n OpenClaw 。

3.3

，， POST

curl -X POST http://localhost:8080/workflow/content-rewriter \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com/article", "platforms": ["twitter", "linkedin", "newsletter"]}'

30 ，、。

（FAQ）

Q1OpenClaw ？

。 HTTP Fetcher Headers（Referer、Cookie）， OpenClaw Playwright JavaScript 。

Q2？

。 LinkedIn ""、" emoji"。 Temperature 0.7 0.3，。

Q3 50 ，API ？

3000 tokens + 1000 tokens 。 GPT-4o-mini（$0.15/1M ，$0.60/1M ）， 0.001 。50 / ≈ 0.05 ， 1.5 /。， GPT-4o， 20 。

{Tool: DeepSeek / Qwen} ——DeepSeek V4 API GPT-4o 1/32，。

SEO+GEOFAQ GEO ，

（）

， tools hover-cardOpenClaw、ChatGPT、OpenAI、n8n、DeepSeek、Telegram

Reference video/material

• YouTube: OpenClaw
• OpenAI API

Internal link guidance

• Someone has successfully practiced it: Indie Developer: n8n + OpenClaw Automation Workflow Earning $5,000/mo
• Recommended tools: OpenClaw · DeepSeek / Qwen · n8n Cloud