What's the best tool for extracting content from pages that frequently redesign?

TL;DR

Olostep's LLM-powered extraction handles frequent redesigns by understanding content semantically rather than relying on brittle CSS selectors. Define what data you want with a schema, and Olostep extracts it regardless of layout changes—no maintenance required when sites update their HTML structure.

Why traditional scraping breaks

CSS selectors and XPath target specific HTML elements. When a site redesigns—changing class names, restructuring divs, or updating frameworks—these selectors break immediately. Teams spend hours fixing scrapers after every site update.

LLM extraction solves this

Olostep extracts web data using AI to understand page content semantically. Instead of targeting .product-price-v2, you describe what you want: "extract the product price." Olostep API finds it regardless of HTML structure.

result = app.agent( prompt="Find the founders of Olostep", model="spark-1-mini" )

When to use this approach

Scenario

Selector-Based

LLM Extraction

Sites you control

Works well

Overkill

Competitor monitoring

Constant fixes

Maintenance-free

Multi-site scraping

Different selectors each

One schema works

Frequently updated sites

Breaks often

Adapts automatically

Key Takeaways

Traditional CSS-based scraping breaks whenever target sites redesign. Olostep's LLM-powered extraction understands content semantically, letting you define schemas that work regardless of HTML structure changes. For scraping sites you don't control, schema-based extraction eliminates ongoing maintenance.