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web-reader

Fetch and parse web pages to extract titles, HTML content, and publication times.

Updated Aug 23, 2026
Search Tags:#html#backend#metadata#web#content-extraction#web-reader#publication-time
One-click install
npx skills add https://github.com/SkormJF/WebDesigner --skill web-reader-skormjf
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-reader
Source: https://github.com/SkormJF/WebDesigner/tree/main/skills/web-reader
Command: npx skills add https://github.com/SkormJF/WebDesigner --skill web-reader-skormjf

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Web content extraction and processing is often manual, time-consuming, and inconsistent across sources; this skill automates fetching pages and extracting structured data such as title, HTML content, and publish time.

Core Features & Use Cases

  • Extracts page title, main HTML content, and publish time for any URL
  • Returns structured data suitable for downstream processing, SEO analysis, content monitoring, and data pipelines
  • Use Case: Build a backend service that ingests articles from multiple sources and stores titles, URLs, and timestamps for analytics

Quick Start

Instruct the AI to fetch and parse a page by URL and return the structured data for further processing.

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 publication time from multiple URLs in a backend workflow?▼

To extract web page content programmatically, you can use a backend script to fetch URLs and parse the HTML to retrieve the title, main content, and publication time. This approach returns a structured data object suitable for batch processing and content aggregation.

What is the best way to automate metadata retrieval and SEO analysis for web pages?▼

Automating metadata retrieval for SEO analysis involves fetching web pages and extracting structured data fields like titles and publishedTime. You can ingest this structured data into a pipeline to monitor content changes and aggregate metadata across multiple sources.

Does the z-ai-web-dev-sdk support batch URL processing for content extraction?▼

Yes, the z-ai-web-dev-sdk supports backend workflows for batch URL processing. You can fetch and parse multiple web pages to extract titles, HTML content, and publish times, returning structured data objects with usage metrics for downstream processing.

How do I get a structured data object with title and publish time from raw HTML?▼

To get a structured data object from raw HTML, parse the fetched web page to isolate the title, HTML content, and publication time. This process yields a structured response containing the url, title, html, and publishedTime fields for downstream consumption.

Can I use web content extraction for backend content aggregation across multiple sources?▼

Yes, you can use web content extraction for backend content aggregation. By fetching pages and extracting titles, HTML, and publish times into a structured data object, you can build services that ingest and store articles from multiple sources for analytics.

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