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OldCoderIsMe
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Article Metadata Extractor

Extract structured metadata from article URLs or content.

Updated Jan 27, 2026
Search Tags:#web scraping#metadata extraction#content analysis#AI summarization#tagging#article parsing
One-click install
npx skills add https://github.com/OldCoderIsMe/AutoPaper --skill article-metadata-extractor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Article Metadata Extractor
Source: https://github.com/OldCoderIsMe/AutoPaper/tree/main/claude-skills/extract-metadata
Command: npx skills add https://github.com/OldCoderIsMe/AutoPaper --skill article-metadata-extractor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, requests, readability-lxml, beautifulsoup4, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the tedious process of manually extracting key information from articles, saving time and ensuring consistency.

Core Features & Use Cases

  • Automated Extraction: Pulls titles, authors, sources, dates, summaries, tags, and key points from web articles.
  • Smart Classification: Automatically categorizes articles as 'technical' or 'news'.
  • Caching: Avoids redundant API calls for up to 7 days.
  • Use Case: Quickly gather structured data for a content aggregation platform or a research database without manual copy-pasting.

Quick Start

Use the extract metadata skill to get structured information from the article at https://example.com/article.

Frequently Asked Questions about Article Metadata Extractor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract structured metadata like author and publish date from web articles?▼

To extract structured metadata from web articles, you can use an AI-driven tool that parses URLs to identify title, author, source, publish date, summary, tags, and key points. It uses readability-lxml and beautifulsoup4 for robust article parsing.

What is the best way to automate web scraping for article content analysis and tagging?▼

The best way to automate web scraping for article content analysis is using an AI-driven skill that combines automated metadata extraction with smart tagging. It automatically categorizes articles as technical or news while extracting key points.

Does this metadata extraction approach support caching to avoid redundant API calls?▼

Yes, this metadata extraction approach supports caching to avoid redundant API calls for up to 7 days. This caching mechanism ensures robust operation and improves efficiency when repeatedly processing the same article URLs.

Can I use beautifulsoup4 and readability-lxml to extract key points and summaries from URLs?▼

Yes, you can use beautifulsoup4 and readability-lxml to extract key points and summaries from URLs. This skill leverages these dependencies alongside the Anthropic API for AI summarization and robust article parsing.

How do I pull titles and tags from web articles for a content aggregation platform?▼

To pull titles and tags from web articles for a content aggregation platform, use an automated metadata extraction skill. It retrieves structured data including article type and key points, supporting retries for robust operation.

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