What problem does it solve?
Extracts and structures content from web pages by applying a multi‑strategy cascade that detects articles, scrapes text, and gathers metadata.
Core Features & Use Cases
- Multi-strategy cascade extraction (static HTML, JS-rendered pages, and fallbacks) for reliable content retrieval.
- News/article detection via URL patterns and Schema.org metadata to identify publishable content.
- Boilerplate removal and clean text extraction with configurable metadata (title, author, date, description).
- Structured metadata extraction including authors, dates, categories, keywords, and paywall detection.
- Optional LLM-based entity extraction to identify people, organizations, locations, events, and relationships.
- Paywall handling strategies (hard/soft) with safe content exposure and overlays removal when permissible.
- Declarative configuration via YAML for selectors and extraction rules; output is JSON with provenance and data quality metrics.
Quick Start
Provide a target URL and let the skill fetch, clean, and output structured article data including metadata.