---
title: Extract Structured Data API
slug: extract-structured-data
url: https://apyhub.com/namastesumalya/service/extract-structured-data
provider: Sumalya APIs
categories: [Data Extraction, SEO]
auth: api_key
---

# Extract Structured Data API

Check a URL for schema markup and get structuredData, schemaCount, hasBreadcrumbs, and hasOrganization back for SEO audits and automation.

## Endpoints

| Method | Path | Description | Atoms |
| --- | --- | --- | --- |
| POST | `/namastesumalya/api/schema` | What it does Extracts structured data from the website at the given URL and returns a JSON object s… | 100 |

## About

## What it does
Structured Data Extractor checks a website URL and returns the structured data it finds on the page. Send a `url`, and you get back the same `url`, a `schemaCount`, booleans for `hasBreadcrumbs` and `hasOrganization`, and a `structuredData` array containing the parsed objects.

Use it when you need to inspect a site’s schema markup for SEO audits, content validation, or competitive analysis. It gives you a quick way to confirm whether a page exposes breadcrumb data or organization markup without parsing HTML yourself.

The response is compact and easy to consume in automation pipelines. You can use `schemaCount` to spot pages with no structured data, branch on `hasBreadcrumbs` for navigation-rich pages, or process the `structuredData` array directly when you need the underlying objects.

Structured Data Extractor is a good fit for crawlers, SEO tooling, and internal QA checks where you need a simple structured-data snapshot from a webpage.

## Usage

Authenticate with an ApyHub API key in the `apy-token` header.
Full docs and a live playground: https://apyhub.com/namastesumalya/service/extract-structured-data