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nidhalboumaiza-0
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web-reader

Fetch web page content and metadata via the page_reader function.

Updated Dec 24, 2025
Search Tags:#sdk#metadata#web#web-scraping#content-extraction#article-reading
One-click install
npx skills add https://github.com/nidhalboumaiza-0/PFA_2026_E-Sante --skill web-reader-nidhalboumaiza-0
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/nidhalboumaiza-0/PFA_2026_E-Sante/tree/main/admin-e-sante/skills/web-reader
Command: npx skills add https://github.com/nidhalboumaiza-0/PFA_2026_E-Sante --skill web-reader-nidhalboumaiza-0

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 and structuring of content from web pages, making it easy to build applications that summarize, index, and monitor online content.

Core Features & Use Cases

  • Web Content Extraction: fetches title, main HTML, and publication time from URLs for downstream processing.
  • Metadata Retrieval: captures page metadata for indexing, search, and analytics.
  • Use Case: Build a monitoring dashboard that tracks changes across multiple news sites and archives pages for archival purposes.

Quick Start

Use the web-reader skill to extract content from a URL by invoking the backend page_reader function. For example, read https://example.com/article to retrieve the title, URL, HTML content, and publish time, which can then be fed into your app.

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 page content and metadata from URLs for my application?▼

Web content extraction fetches the title, main HTML, publication time, and URL from a target web page. Using the z-ai-web-dev-sdk page_reader function, you retrieve structured data ready for downstream indexing or archiving.

What is the best way to automate article reading and monitor changes across news sites?▼

Automated article reading structures web page content for monitoring dashboards. By fetching and archiving page data like publication time and HTML, you can track content changes across diverse websites systematically.

Does z-ai-web-dev-sdk handle rate limits when scraping web pages?▼

Yes, the z-ai-web-dev-sdk backend handles errors and respects rate limits during web scraping. This ensures stable content extraction and metadata retrieval without exceeding request thresholds.

Can I retrieve publishedTime and other metadata for archiving web content?▼

Yes, metadata retrieval captures the publishedTime, title, and URL from web pages. This structured output is ideal for building archival systems and indexing online content for search analytics.

What limitations should I expect when extracting HTML content from diverse websites?▼

Limitations include encountering rate limits and varying HTML structures across diverse websites. The page_reader function handles errors gracefully, but complex page layouts may affect the consistency of extracted content.

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