web-reader

Name: web-reader
Availability: InStock
Author: kraits

Extract title, HTML, and publish_time from web page URLs.

Updated Apr 20, 2026

Search Tags:#automation #backend #web-scraping #web-content #content-extraction #z-ai-web-dev-sdk

Ready to run

npx skills add https://github.com/Kraits/cxc-ace --skill web-reader-kraits

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/Kraits/cxc-ace/tree/main/skills-backup/web-reader
Command: npx skills add https://github.com/Kraits/cxc-ace --skill web-reader-kraits

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Web content is often scattered and difficult to extract reliably for automation. The Web Reader skill provides a backend-first capability to fetch a page's title, main HTML, and optional publication time so you can index, summarize, or analyze articles.

Core Features & Use Cases

Automated Page Reading: extract title, HTML, and publish_time from a URL
Metadata Extraction: retrieve author, description, keywords when available
Use Case: build a content feed or knowledge base by aggregating multiple web articles for QA or research

Quick Start

Invoke the web-reader on a URL to fetch the title, HTML, and metadata using the page_reader backend function.

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 from a URL in backend automation?▼

To extract web page content from a URL in backend automation, you can use a web scraping skill to fetch the page's title, main HTML, and publish_time. It also retrieves available metadata like author, description, and keywords for indexing articles.

Can I use z-ai-web-dev-sdk to scrape articles and build a knowledge base?▼

Yes, you can use z-ai-web-dev-sdk to scrape articles and build a knowledge base. This backend-first capability fetches title, HTML, and publication time to aggregate multiple web articles for research, QA, or content indexing.

What is the best way to automate web content extraction for a content feed?▼

The best way to automate web content extraction for a content feed is using a backend script that normalizes data and applies error handling. This approach reliably retrieves the title, HTML, and publish_time needed to populate your feed.

Does this web scraping approach retrieve publication time and author metadata?▼

Yes, this web scraping approach retrieves publication time and author metadata when available. Alongside the main HTML and title, it extracts description and keywords to provide comprehensive metadata for your content-aware applications.

Why does web content extraction fail and what limitations exist with backend scripts?▼

Web content extraction can fail due to missing metadata or inaccessible page structures, which is why error handling is essential. Limitations include its exclusive backend operation and dependency on z-ai-web-dev-sdk, meaning it cannot run in frontend environments.