olostep

Scrape and crawl web pages into structured data via configurable endpoints.

12|4|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/orthogonal-sh/skills --skill olostep
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: olostep
Source: https://github.com/orthogonal-sh/skills/tree/main/skills/orthogonal-olostep
Command: npx skills add https://github.com/orthogonal-sh/skills --skill olostep

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Web scraping, crawling, and AI-powered content extraction can be time-consuming and error-prone when done manually; Olostep automates these tasks at scale, delivering structured data from diverse sites.

Core Features & Use Cases

  • Web scraping: initiate, manage, and scale page-level extractions across large websites.
  • AI-assisted content extraction: parse and structure data from pages, with options to remove noise and extract meaningful fields.
  • Use Case: gather product listings from ecommerce sites to build price trackers, market insights, and competitive analytics.

Quick Start

Instruct Olostep to start a crawl of a target site and extract structured content from the resulting pages.

Frequently Asked Questions about olostep

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

FAQPage Schema
How do I extract structured data from web pages at scale?

Web scraping and crawling tools automate the extraction of structured data from websites at scale. They initiate page-level crawls, parse content, and remove noise to deliver structured fields for competitive analytics or research.

What is AI-powered content extraction and how does it work?

AI-powered content extraction uses artificial intelligence to parse web pages and isolate meaningful fields while removing noise. It converts raw site content into structured datasets, eliminating the need for manual CSS selector configuration.

Can I use web crawling to monitor content changes across multiple websites?

Yes, automated web crawling supports continuous content monitoring across multiple websites by initiating scalable crawls. This enables ongoing data gathering and research automation for marketplaces, news sources, and competitor sites.

How do I start a batch scraping job for multiple URLs?

You initiate a batch scraping job by submitting multiple URLs with configurable parameters for formats and routing. The system processes these batch items asynchronously, allowing you to retrieve extracted structured content upon completion.

Does AI-powered web scraping work without configuring manual CSS selectors?

AI-powered web scraping operates without manual CSS selectors by using artificial intelligence to identify and extract meaningful fields automatically. It parses pages, removes noise, and structures data directly from the provided URLs.

What are the limitations of automated web crawling for structured data extraction?

Automated web crawling limitations include potential restrictions from sites with anti-scraping protections and the need to manage crawl rates for large-scale batch operations. Extraction success also depends on target site structure and accessibility.