An automated news fetching and summarization tool designed to extract content from RSS feeds and websites to generate structured reports.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install news-crawler
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 news-crawler using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The News Crawler is a sophisticated automation skill developed for Openclaw Skills that streamlines the process of staying informed. It allows users and AI agents to monitor specific RSS feeds or targeted URLs, extract full-text content, and leverage Large Language Models to generate concise article summaries.
This skill bridges the gap between raw data sources and actionable intelligence by transforming cluttered web pages into clean, structured JSON data. It is particularly effective for those building automated newsletters, research assistants, or competitive intelligence monitors within the Openclaw Skills ecosystem.
To get started with this skill for Openclaw Skills, use the following Python scripts:
To fetch a list of articles from an RSS feed:
python3 scripts/rss_fetcher.py https://www.solidot.org/index.rss 5
To crawl and extract content from a specific news URL:
python3 scripts/crawl.py https://example.com/news/article.html 3000
The skill produces structured JSON data for both discovery and extraction phases:
| Component | Data Fields |
|---|---|
| RSS Fetcher | title, link, description, published, count |
| Content Crawler | url, title, content, length |
Content is primarily handled in UTF-8 encoding with a default truncation limit of 5000 characters to ensure compatibility with most LLM context windows.
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