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web-reader

Fetch web pages and extract title, HTML, and publish time.

Updated Aug 23, 2026
Search Tags:#html#backend#sdk#metadata#web-scraping#content-extraction#page-reader
One-click install
npx skills add https://github.com/josinesprados-hub/vita-zen --skill web-reader-josinesprados-hub
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/josinesprados-hub/vita-zen/tree/main/vita-zen-src/vita-zen-main/skills/web-reader
Command: npx skills add https://github.com/josinesprados-hub/vita-zen --skill web-reader-josinesprados-hub

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Implement web page content extraction capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to scrape web pages, extract article content, retrieve page metadata, or build applications that process web content. Supports automatic content extraction with title, HTML, and publication time retrieval.

Core Features & Use Cases

  • Content extraction from web pages (title, HTML, publish time)
  • Metadata retrieval for SEO, analytics, and content workflows
  • Easy integration into applications that consume and analyze web content

Quick Start

Provide a URL and I will fetch its title, HTML, and publish time for you.

Frequently Asked Questions about web-reader

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

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

Web content extraction is done by fetching the URL and parsing the page to return a structured object containing the title, raw HTML, publication time, and usage tokens. This allows you to easily gather article content and metadata for downstream applications.

Can I retrieve the publish time and title for SEO and analytics workflows?▼

Yes, you can retrieve page metadata like the publish time and title alongside the extracted HTML. This structured data is returned in a single object, making it directly usable for SEO, analytics, and content workflow applications.

How do I scrape multiple URLs to build an application that consumes web content?▼

You can scrape multiple URLs by providing each link to the extraction process, which returns structured data for every page. This enables you to build applications that process and analyze web content across various articles systematically.

Does the web reader require the z-ai-web-dev-sdk to extract page content?▼

Yes, web content extraction runs on the z-ai-web-dev-sdk backend. This dependency handles the fetching and parsing logic, returning the structured data object with title, url, html, and publish_time for your applications.

What is the best way to get structured HTML content from web pages for backend processing?▼

The best way to get structured HTML content is using an extraction tool that parses pages and outputs a standardized data object. This approach delivers the title, url, html, and publish_time together, ready for backend processing.

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