web-reader

Name: web-reader
Availability: InStock
Author: felipesantiago-coder

Extract structured content and metadata from public web pages.

Updated Apr 7, 2026

Search Tags:#web scraping #content extraction #z-ai-web-dev-sdk #metadata retrieval #html parsing #news aggregation #page reader

Ready to run

npx skills add https://github.com/felipesantiago-coder/fluxo-quadra --skill web-reader-felipesantiago-coder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/felipesantiago-coder/fluxo-quadra/tree/main/skills/web-reader
Command: npx skills add https://github.com/felipesantiago-coder/fluxo-quadra --skill web-reader-felipesantiago-coder

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill eliminates the tedious manual work of copying and processing web page content, saving you hours of repetitive scraping, data extraction, and metadata collection effort.

Core Features & Use Cases

Automated Web Content Extraction: Pull structured page data including title, full HTML content, plain text, and publication timestamps from any public URL using the z-ai-web-dev-sdk.
Metadata Retrieval: Automatically capture page metadata like author and description for SEO analysis, content curation, or research purposes.
Use Case: Imagine you need to aggregate 50 news articles from different sources for a market research report. Use this Skill to automatically fetch and extract the full content and metadata from each article in minutes, with no manual copying required.

Quick Start

Use the web-reader skill to extract the full structured content and metadata from the news article at https://news.example.com/ai-trends-2024.

Frequently Asked Questions about web-reader

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

FAQPage Schema

How do I extract structured content and metadata from public web pages programmatically?▼

To extract structured content and metadata from public web pages, you can use automated web scraping tools that parse static HTML to retrieve titles, plain text, full HTML, and publication timestamps without manual copying.

Does web content extraction with this approach require client-side JavaScript execution?▼

Web content extraction with this approach does not require client-side execution. It applies static HTML parsing to retrieve page data, meaning it processes the server-rendered HTML directly without executing JavaScript.

Can I use z-ai-web-dev-sdk for news aggregation and SEO analysis workflows?▼

You can use z-ai-web-dev-sdk for news aggregation and SEO analysis workflows. It provides a page_reader function to automatically capture page metadata like author and description, alongside the full text content from multiple URLs.

What is the best way to automate web scraping for research data collection from multiple sources?▼

The best way to automate web scraping for research data collection is using a programmatic page reader that fetches structured data, allowing you to pull full content and metadata from multiple public URLs in minutes.

What are the limitations of static HTML parsing for content monitoring?▼

A limitation of static HTML parsing for content monitoring is that it cannot extract dynamically loaded content requiring client-side execution, restricting retrieval to server-rendered HTML elements on public pages.

Do I need to install z-ai-web-dev-sdk to extract publication timestamps and plain text from URLs?▼

You need to install the z-ai-web-dev-sdk backend package to extract publication timestamps and plain text from URLs. This dependency provides the necessary page_reader function to invoke static HTML content extraction.