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web-reader

Retrieve structured web page content and metadata from a URL.

1|1|Updated Feb 13, 2026
Search Tags:#automation#backend#sdk#web#web-scraping#content-extraction
One-click install
npx skills add https://github.com/eskoNBG/UltiDB --skill web-reader-eskonbg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/eskoNBG/UltiDB/tree/main/skills/web-reader
Command: npx skills add https://github.com/eskoNBG/UltiDB --skill web-reader-eskonbg

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Non-programmatic methods struggle to consistently retrieve clean, structured content from web pages. This Skill enables automated reading, content extraction, and metadata retrieval from any URL, simplifying integration into apps and workflows.

Core Features & Use Cases

  • Web content extraction: fetches title, html, text content, and publication time.
  • Metadata provisioning: returns page URL, author and description when available.
  • Backend-first usage: designed for server-side usage with the z-ai-web-dev-sdk; ideal for batch processing, monitoring, and content pipelines.
  • Use Case: Build a monitoring service that tracks changes to articles across multiple sites and surfaces summaries and metadata.

Quick Start

Invoke page_reader with a URL to retrieve structured page content and metadata.

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 web content and metadata from a URL in a backend environment?▼

Automated web content extraction retrieves structured page data including title, html, text, and publishedTime from a target URL. It delivers a consistent data model for downstream processing in backend environments.

Can I use the z-ai-web-dev-sdk for batch web scraping and content monitoring?▼

The z-ai-web-dev-sdk supports backend-first usage ideal for batch web scraping and content monitoring. You can build monitoring services that track article changes across multiple sites and surface summaries with metadata.

What is the best way to automate article reading and metadata retrieval across multiple pages?▼

Automating article reading and metadata retrieval is best handled by defining a multi-page workflow scope. Retrieving structured content directly from URLs ensures consistent provisioning of page titles, authors, and descriptions for content pipelines.

Do I need a specific SDK or environment setup to retrieve web page content programmatically?▼

You need the z-ai-web-dev-sdk and a target URL to retrieve web page content programmatically. This backend-first approach requires server-side execution to deliver the structured data model including html and text content.

Why does non-programmatic web scraping struggle to consistently retrieve clean structured content?▼

Non-programmatic web scraping struggles with clean structured content due to inconsistent page structures. Programmatic extraction solves this by delivering a standardized data model including title, url, html, publishedTime, and usage metadata.

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