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web-reader

Extract web page content and metadata from URLs using the z-ai-web-dev-sdk.

Updated Aug 23, 2026
Search Tags:#automation#SEO#HTML#metadata#web-reader#web content extraction#URL fetch
One-click install
npx skills add https://github.com/tajo9128/BioDockify-pharma-research-ai --skill web-reader-tajo9128
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/tajo9128/BioDockify-pharma-research-ai/tree/main/ui/src/skills/web-reader
Command: npx skills add https://github.com/tajo9128/BioDockify-pharma-research-ai --skill web-reader-tajo9128

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) components.

What problem does it solve?

This skill enables automated extraction of web page content and metadata from URLs using the z-ai-web-dev-sdk.

Core Features & Use Cases

  • Build web content readers that fetch, parse, and structure information from articles, docs, and blogs.
  • Retrieve article metadata such as title, publication time, and canonical URL for indexing and analysis.
  • Support both SDK-based integration and CLI workflows for batch processing and automation.

Quick Start

Use the web-reader skill to fetch content from a URL, e.g. https://example.com/article, and receive a structured result containing title, html, url, and publishedTime.

Frequently Asked Questions about web-reader

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

FAQPage Schema
How do I extract web content and metadata from a URL?▼

You can extract web content and metadata by providing input URLs to this skill, which fetches pages and returns structured outputs including title, html, url, and publishedTime for articles and blogs.

What is the best way to automate fetching article metadata like publication time?▼

Automating article metadata extraction is done by supplying URLs to this skill, which retrieves titles, canonical URLs, and publishedTime for SEO indexing and content analysis.

Does web content extraction work with CLI workflows for batch processing?▼

Yes, web content extraction supports CLI workflows for batch processing and automation, allowing you to fetch and structure information from multiple URLs without relying solely on SDK-based integration.

Do I need the z-ai-web-dev-sdk to fetch and parse web pages?▼

Yes, the z-ai-web-dev-sdk backend is required to fetch and parse web pages. This skill depends on it to execute SDK-based workflows and return structured content and metadata outputs from URLs.

Can I build a web content reader that structures HTML from articles and docs?▼

Yes, you can build a web content reader that structures HTML from articles and docs. This skill fetches URLs and returns structured data including title, html, url, and publishedTime for further processing.

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