web-reader

Extract web page content and metadata for automated processing.

Updated Mar 29, 2026

Search Tags:#backend #metadata #scraping #reader #web #web-content

Ready to run

npx skills add https://github.com/Mohabsmar/VoiceDev-2.0 --skill web-reader-mohabsmar

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/Mohabsmar/VoiceDev-2.0/tree/main/skills/web-reader
Command: npx skills add https://github.com/Mohabsmar/VoiceDev-2.0 --skill web-reader-mohabsmar

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Web developers and AI teams often need to fetch, parse, and structure content from web pages for analysis, indexing, or integration into applications. This skill provides a backend-friendly toolset to extract article content, titles, URLs, and metadata in a reliable, repeatable way.

Core Features & Use Cases

Extracts main content HTML and plain text from any URL.
Retrieves article metadata such as title, URL, and publish time.
Backend-only integration with the z-ai-web-dev-sdk for data pipelines, dashboards, and automation tasks.

Quick Start

Instantly read content from a URL by invoking the web reader function in your server-side code.

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 for automated processing?▼

To extract web page content and metadata for automated processing, this skill uses the z-ai-web-dev-sdk on the backend to fetch URLs and return structured data including title, url, html, and publishedTime.

Can I process multiple URLs for batch web scraping in my backend pipeline?▼

Yes, you can process multiple URLs for batch web scraping in your backend pipeline. The skill supports batch URL processing across diverse sources with built-in caching and content aggregation capabilities.

Does the z-ai-web-dev-sdk dependency support retrieving article publish time?▼

Yes, the z-ai-web-dev-sdk dependency supports retrieving article publish time. It extracts main content HTML, plain text, titles, URLs, and publish time to provide reliable structured data for backend integration.

What is the best way to turn web pages into structured data for AI analysis?▼

The best way to turn web pages into structured data for AI analysis is using a backend-friendly scraping tool that extracts article content and metadata reliably, returning structured fields like title, url, and html.

How do I get plain text and main content HTML from any URL?▼

To get plain text and main content HTML from any URL, invoke the web reader function in your server-side code. It parses web pages and returns the extracted content for indexing, dashboards, or automation tasks.