A specialized tool for fetching and analyzing the most popular and recent technical articles from the Juejin platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install juejin-article-trends
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install juejin-article-trends using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Juejin Article Trends?
The Juejin Article Trends skill is designed for developers and researchers who need real-time access to trending content on one of the largest developer communities. By integrating this capability into your Openclaw Skills collection, you can programmatically retrieve category listings—including Frontend, Backend, AI, and Mobile development—and filter articles based on popularity or recency.
This skill bridges the gap between high-quality technical content and automated data retrieval, making it easier to stay updated on industry shifts and popular technologies without manual browsing. It provides a structured way to ingest data from juejin.cn, allowing your AI agents to process technical trends with precision.
Juejin Article Trends Use Cases
- Monitor trending topics in AI and Frontend development to stay ahead of the curve.
- Automate the discovery of high-engagement technical articles for content curation.
- Research author popularity and engagement metrics across different technology stacks.
- Trigger alerts or reports when new high-quality content is published in specific categories within Openclaw Skills environments.
How Juejin Article Trends Works
- Request the full list of Juejin article categories to identify relevant section IDs (e.g., Frontend, AI, Mobile).
- Query specific categories using parameters for sorting (hot or new) and result limits.
- The skill interacts with the Juejin platform via a Node.js script to fetch structured article metadata.
- Receive a detailed JSON response containing titles, authors, engagement stats (likes, views, comments), and direct URLs.
Juejin Article Trends Setup
Ensure you have Node.js installed in your environment. Navigate to your project directory and execute the script via CLI.
# List all available article categories
node scripts/juejin.js categories
# Fetch top 10 hot articles for the Frontend category
node scripts/juejin.js articles 6809637769959178254 hot 10
# Fetch 15 latest articles for the Backend category
node scripts/juejin.js articles 6809637769959178255 new 15
Juejin Article Trends Data Schema & Taxonomy
The skill returns structured data for both categories and articles to ensure compatibility with various Openclaw Skills workflows.
| Field | Type | Description |
|---|---|---|
title |
String | The headline of the technical article |
author |
String | The name of the content creator |
viewCount |
Number | Total number of views recorded on Juejin |
likeCount |
Number | Total number of likes/upvotes |
articleId |
String | Unique identifier for the Juejin post |
url |
String | Direct canonical link to the article |
tags |
Array | Relevant technology tags associated with the post |
Juejin Article Trends Advanced Features
- Support for custom limits to fetch large datasets for comprehensive trend analysis.
- Dual sorting modes (hot vs new) to capture both viral hits and fresh technical insights.
- Integration-ready JSON output for seamless use with other Openclaw Skills for automated technical newsletters.
- Detailed engagement metrics including collect counts and comment counts for deep data analysis.
SKILL.md
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