Construction data,
decoded.

Price data from 501 products across 12 categories — HVAC ($2,337 avg), windows ($675 median), doors ($35–$30K), lumber, roofing, flooring, insulation, and more. Real ranges pulled from the Substrata database.

29 insulation products with actual R-values, thickness, and cost per sq ft. Fiberglass batts, blown-in, closed-cell spray foam, polyiso rigid board, and aerogel — side-by-side with climate zone requirements.

What SHGC, U-factor, and VT mean — and real data from 32 window products. Andersen, Marvin, Pella, Milgard, and more compared by energy rating, frame material, glazing type, and price per unit.

A hands-on Node.js walkthrough — fetch categories, search products by category, read price_min/price_max fields, and wire up a script that takes room dimensions and material selections and outputs a cost estimate. ~50 lines of code.

Building product specs are locked in manufacturer PDFs with no unified API. Here's how to query SEER ratings, R-values, U-values, compressive strength, and fire resistance data programmatically — with working code examples.

The construction data landscape is fragmented — no single source covers specs, pricing, sustainability, and logistics. We compared five platforms across API access, data types, pricing, and developer experience so you don't have to.