---
title: Extract Structured Data API
slug: extract-structured-data
url: https://apyverse.com/namastesumalya/service/extract-structured-data
provider: Sumalya APIs
categories: [Data Extraction, Developer Tools, SEO]
tags: [structured-data, schema-org, seo-audit, web-scraping, site-analysis]
auth: api_key
---

# Extract Structured Data API

Extract schema metadata from a URL, including schema count, breadcrumbs, organization flags, and structured data objects for SEO checks.

## Endpoints

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

## About

## What it does
Structured Data Extractor pulls schema-related metadata from a website when you send a URL. It returns the page URL, a `schemaCount`, booleans for `hasBreadcrumbs` and `hasOrganization`, and a `structuredData` array containing the structured data objects found on the page.

Use it when you need to audit a site for JSON-LD or other structured-data signals without building your own crawler. A single request can tell you whether a page exposes breadcrumbs or organization markup, and how much structured data is present overall. That makes it useful for SEO checks, content QA, and automated site analysis.

The response is straightforward to consume in downstream workflows: compare pages, flag missing schema on key templates, or feed the extracted objects into your own validation and reporting pipeline. If you are checking a site migration or monitoring structured-data coverage at scale, this gives you the page-level data you need in a compact format.

## Usage

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