extract-webpage-data

Name: extract-webpage-data
Availability: InStock
Author: Orthogonal

Extract structured JSON data from web pages using AI extraction APIs.

12|4|Updated Feb 12, 2026

Search Tags:#automation #html #ai #json #data-extraction #web-scraping #structured-data

Ready to run

npx skills add https://github.com/orthogonal-sh/skills --skill extract-webpage-data

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: extract-webpage-data
Source: https://github.com/orthogonal-sh/skills/tree/main/skills/orthogonal-extract-webpage-data
Command: npx skills add https://github.com/orthogonal-sh/skills --skill extract-webpage-data

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Web pages often contain valuable data embedded in HTML and unstructured text. This skill uses AI to transform that content into clean, structured data you can reuse in pipelines or dashboards.

Core Features & Use Cases

Extract data from product listings, articles, and other data-dense pages
Output structured data as JSON, with optional Markdown or plain text formats
Use cases include price extraction, metadata capture, title extraction, and content summaries

Quick Start

Extract structured data from the provided webpage and return it as JSON.

Frequently Asked Questions about extract-webpage-data

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

FAQPage Schema

How do I extract structured data from a messy HTML web page?▼

To extract structured data from messy HTML, this Skill normalizes web page content and applies AI extraction to isolate fields like title, price, and description into clean JSON output.

What is the best way to scrape product listings and get JSON output?▼

The best way to scrape product listings into JSON is using AI-driven web scraping that targets data-dense sections, capturing prices and metadata while bypassing unstructured page noise.

Can I use AI to extract specific fields from unstructured web content?▼

Yes, you can use AI to extract specific schema-based fields from unstructured web content, transforming articles and data-dense pages into structured formats like JSON, Markdown, or plain text.

Does web scraping with Olostep, Scrapegraph, or Riveter support schema-based extraction?▼

Yes, schema-based extraction is supported across Olostep, Scrapegraph, and Riveter APIs, allowing you to define specific fields and metadata to capture from targeted web pages.

How do I automate data extraction from articles for pipelines and dashboards?▼

You can automate data extraction for pipelines by converting article content into structured JSON, providing clean data outputs that integrate directly into dashboards or downstream workflows.