web-reader

Extract page title, HTML, text, and metadata from URLs via page_reader.

Updated Jan 29, 2026
One-click install
npx skills add https://github.com/TIAN0517/iosboss --skill web-reader-tian0517
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/TIAN0517/iosboss/tree/main/temp_extract/99999999/skills/web-reader
Command: npx skills add https://github.com/TIAN0517/iosboss --skill web-reader-tian0517

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The web-reader skill automates extraction of content from web pages, including title, HTML, and publication time, enabling apps to process and index web content efficiently.

Core Features & Use Cases

  • Content Extraction: Retrieve page title, HTML, and plain text from any URL.
  • Metadata Retrieval: Capture publish date and page metadata for indexing, SEO, and content monitoring.
  • Use Case: Build news aggregators, research tools, or documentation crawlers that ingest web content into structured data stores.

Quick Start

Invoke the page_reader function with a URL (for example, https://example.com/article) to obtain the title, HTML, text, and metadata, then process and store the results as needed.

Frequently Asked Questions about web-reader

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

FAQPage Schema
How do I extract content and metadata from a web page URL?

To extract content from a web page, invoke the page_reader function with a target URL to retrieve the title, HTML, plain text, and publication metadata for indexing workflows.

Can I batch process multiple URLs for content extraction?

Yes, web content extraction supports batch URL processing, allowing you to automate the retrieval of titles, text, and metadata from multiple pages simultaneously for aggregation.

What data fields are retrieved when extracting web page content?

Extracting web page content retrieves the page title, HTML, plain text, and publication metadata including the publish date, enabling efficient content indexing and SEO monitoring.

Do I need the z-ai-web-dev-sdk to extract web content?

Yes, you need the z-ai-web-dev-sdk backend library installed to use the page_reader function for automating web page content extraction and metadata retrieval.

What are common use cases for automating web page content extraction?

Common use cases for web page content extraction include building news aggregators, research tools, and documentation crawlers that ingest URL-based content into structured data stores.