web-reader

Name: web-reader
Availability: InStock
Author: mhafis99

Fetch web pages and extract title, HTML, text, and metadata.

Updated Jan 5, 2026

Search Tags:#html #backend #sdk #metadata #web-scraping #content-extraction #web-reading

Ready to run

npx skills add https://github.com/Mhafis99/manajemen-keuangan --skill web-reader-mhafis99

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/Mhafis99/manajemen-keuangan/tree/main/menejemenkeuanganarsm/skills/web-reader
Command: npx skills add https://github.com/Mhafis99/manajemen-keuangan --skill web-reader-mhafis99

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 retrieval and parsing of web pages to obtain clean text, HTML, and metadata for downstream processing.

Core Features & Use Cases

Fetch web pages and extract structured content including title, HTML, text, and metadata
Support backend integrations via z-ai-web-dev-sdk with CLI and code examples
Use cases include content aggregation, SEO analysis, and data extraction from articles

Quick Start

Invoke the page_reader function with a URL to fetch structured 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 main text and metadata from web pages programmatically?▼

To extract text and metadata from web pages programmatically, you can use a web content extraction tool that fetches URLs and structures the output into title, plain text, HTML, and metadata for backend processing. This Skill handles that process directly.

What is the best way to fetch content from dynamic web pages for backend processing?▼

Fetching content from dynamic web pages requires an extraction mechanism with robust error handling and rate limiting. This Skill retrieves and structures content from diverse sites, including dynamic pages, returning clean text and HTML for reliable downstream processing.

Does this web scraping approach work with the z-ai-web-dev-sdk?▼

Yes, this web scraping approach works directly with the z-ai-web-dev-sdk. It supports backend integrations by providing a stable API and compatibility with the SDK, allowing you to fetch structured content like plain text and metadata seamlessly.

Can I use this tool for SEO analysis and content aggregation?▼

You can use this tool for SEO analysis and content aggregation. It fetches web pages and extracts structured content, including titles and metadata, which are essential data points for aggregating articles or analyzing search engine optimization factors.

How do I start reading web content using this extraction function?▼

To start reading web content, invoke the page_reader function with a target URL. The function fetches the web page and returns structured content, including the main HTML, plain text, and metadata, ready for immediate downstream processing.