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Prathviraj-jadhav
Prathviraj-jadhavCOMMUNITY
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web-reader

Extract title, HTML, and publish time from web pages.

Updated Apr 11, 2026
Search Tags:#html#backend#sdk#metadata#web#web-scraping#content-extraction
One-click install
npx skills add https://github.com/Prathviraj-jadhav/nexgen-elit-website --skill web-reader-prathviraj-jadhav
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/Prathviraj-jadhav/nexgen-elit-website/tree/main/.agent/skills/web-reader
Command: npx skills add https://github.com/Prathviraj-jadhav/nexgen-elit-website --skill web-reader-prathviraj-jadhav

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Web content extraction often requires custom, brittle scrapers to fetch a page and pull out the main article content and metadata. This skill provides a backend solution using the z-ai-web-dev-sdk to reliably retrieve a page's title, HTML, and publish time in a structured format.

Core Features & Use Cases

  • Automatic content extraction: retrieve title, HTML, and publish time from any URL.
  • Metadata enrichment: gather description, author, and keywords when available and provide a clean data object for apps.
  • Backend-first integration: designed for server-side use to power content-aggregation, research tools, and SEO workflows.

Quick Start

Invoke the page_reader function with a URL to fetch and parse content.

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 multiple URLs on the backend?▼

You can extract web content and metadata from multiple URLs by running this Skill server-side with the z-ai-web-dev-sdk. It retrieves the title, HTML, and publish time from any web page and returns the data in a standardized structure suitable for aggregation tools.

What is the best way to get structured HTML and publish time for content aggregation?▼

The best way to get structured HTML and publish time is using a backend extraction tool that parses web pages automatically. This Skill outputs a clean data object containing the title, url, html, and publish_time fields for your reading or research applications.

Can I use this web scraping Skill to build a research assistant that fetches article titles?▼

Yes, you can use this web scraping Skill to build a research assistant. It automatically fetches article titles, HTML content, and publish times from provided URLs, returning a structured backend response ideal for research workflows.

Does the content extraction process require writing custom scrapers for each site?▼

No, content extraction does not require writing custom scrapers for each site. This Skill uses the z-ai-web-dev-sdk to reliably retrieve titles, HTML, and metadata from any URL without the brittle code normally needed for web scraping.

What limitations should I expect when extracting HTML and metadata from web pages?▼

When extracting HTML and metadata, you should expect that available fields like description, author, and keywords depend on the target web page's own metadata. The Skill reliably returns title, url, html, and publish_time, but enrichment data is gathered only when available.

How do I start retrieving title and HTML content from a specific web page?▼

To start retrieving title and HTML content, simply invoke the page_reader function with a target URL. The backend Skill processes the request using the z-ai-web-dev-sdk and returns the parsed web content and metadata instantly.

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