A specialized Playwright-based scraper for extracting structured data from major Korean websites like Naver, Coupang, and Daum with advanced anti-bot protection.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install korean-scraper
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install korean-scraper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Korean Scraper is a robust data extraction tool built on Playwright, specifically engineered to navigate the unique structures of major South Korean web platforms. This skill allows developers and AI agents to gather structured information from Naver Blogs, Cafes, News, Coupang product listings, and Daum News. By utilizing Openclaw Skills, users can automate the collection of localized market data, sentiment analysis, or e-commerce insights efficiently.
The tool is designed with a focus on reliability, featuring built-in mechanisms to handle dynamic loading and complex page layouts common in the Korean web ecosystem. It simplifies the process of turning unstructured web content into actionable JSON data for further processing or machine learning applications.
To get started with this skill, navigate to the directory and install the necessary dependencies:
cd skills/korean-scraper
npm install
npx playwright install chromium
You can also configure environment variables for debugging or advanced capture:
# Example: Run with UI visible and capture screenshots
HEADLESS=false SCREENSHOT=true node scripts/naver-blog.js search "keyword"
The skill returns data in a consistent JSON format. Below is the schema for common extraction types:
| Platform | Primary Fields |
|---|---|
| Naver Blog | title, url, blogger, date, content, images, tags |
| Coupang | productName, price, originalPrice, rating, reviewCount, rocketDelivery |
| News | title, media, author, date, content, category, images |
| Naver Cafe | title, url, author, date, views, comments |
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