What problem does it solve?
Manually copying and cleaning web page content is time-consuming and error-prone, especially for articles, research papers, and news sites with messy HTML, ads, and irrelevant elements. This Skill automates the extraction of structured, clean content including page titles, main text, and publication metadata from any public web URL.
Core Features & Use Cases
- Automated Content Extraction: Fetches and parses any public web page to return structured data including title, clean HTML, plain text, and publication timestamp.
- Dual Usage Modes: Supports simple CLI commands for quick one-off scraping and SDK integration for building custom applications, pipelines, and APIs.
- Common Use Cases: Ideal for news aggregation, content monitoring, research data collection, SEO analysis, price tracking, and competitive intelligence gathering.
Quick Start
Use the web-reader skill to extract the full article content, title, and publication date from the news article at https://news.example.com/ai-breakthrough-2024.