web-reader

Extract page titles, HTML, and metadata from single or batch URLs.

Updated Jan 13, 2026
One-click install
npx skills add https://github.com/zeustriton/radarDigital_QA --skill web-reader-zeustriton
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/zeustriton/radarDigital_QA/tree/main/skills/web-reader
Command: npx skills add https://github.com/zeustriton/radarDigital_QA --skill web-reader-zeustriton

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Web pages often require manual extraction of titles, main content, and metadata; this skill provides automated web-page reading and content extraction via the z-ai-web-dev-sdk, returning structured data for applications.

Core Features & Use Cases

  • Automated web content extraction: fetch page title, HTML, and metadata for downstream processing.
  • Metadata extraction and analysis: capture publish time, author, keywords, and page description for SEO or research tasks.
  • Use Case: Build a lightweight web-annotation tool or news aggregator by programmatically reading multiple URLs and aggregating results.

Quick Start

Install dependencies and ensure backend runtime is prepared. Create a minimal script that initializes the SDK, invokes the page_reader function with a URL, and prints the title, URL, and publish time. Run the script to see the extracted 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 web content and metadata from a URL on the backend?

To extract web content and metadata, you can use a backend SDK to fetch page data. This skill invokes the z-ai-web-dev-sdk to parse single or batch URLs, returning structured data like titles, HTML, and metadata for applications.

Can I process multiple URLs in batch for article extraction?

Yes, batch URL processing is supported for article extraction. The skill handles multiple URLs to fetch page titles, HTML, and metadata, enabling you to programmatically read and aggregate results for tasks like building a news aggregator.

Do I need the z-ai-web-dev-sdk to run web scraping scripts?

Yes, the z-ai-web-dev-sdk is a required dependency to run these web scraping scripts. The skill requires this backend runtime prepared to invoke the page_reader function and fetch structured content from target pages.

What is the best way to automate HTML-to-text processing for SEO research?

Automated HTML-to-text processing is best handled by extracting page metadata like publish time, author, and keywords. This skill captures page descriptions and titles programmatically, returning structured data suitable for SEO or research tasks.

How does backend web content extraction work for diverse sites?

Backend web content extraction works by invoking a page_reader function within a scripts directory to fetch and parse content across diverse sites. It processes the URLs through the z-ai-web-dev-sdk to retrieve titles and metadata automatically.