What does Structured Data Extractor — JSON-LD / Schema.org return?

It returns 7 documented output fields: raw, type, note, blockCount, types, firstType and url. Each field declares its type, a description of what it holds, and an example value.

What input does Structured Data Extractor — JSON-LD / Schema.org require?

urls is required. A further 4 inputs are optional. The full input schema, with types and defaults, is below.

Does Structured Data Extractor — JSON-LD / Schema.org need an API key or login?

No. None of its inputs is a credential, and it reads only public data. Nothing to sign up for before the first run.

How do I run Structured Data Extractor — JSON-LD / Schema.org?

It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.

Structured Data Extractor — JSON-LD / Schema.org

Extract JSON-LD / schema.org structured data from web pages — product price & rating, article author & date, org info, and the raw objects. Great for SEO audits and rich-result checks. No auth.

Structured Data Extractor — JSON-LD / Schema.org returns 7 documented output fields, including raw, type, note, blockCount and types. Every field carries a declared type, a written description and an example value. 28 runs are recorded on Apify.

Run it on ApifyPay per result · no subscription

7: Output fields
5: Inputs
28: Runs
2026-10-15: Last run

01 — output

What it returns

Every field the extractor writes to its dataset, with its type, a written description and an example value.

Field	Type	What it holds	Example
raw	string \| number \| boolean \| array \| objectnull	Raw as recorded for this row.	[]
type	string \| number \| boolean \| array \| objectnull	Type of this record, as classified by the Actor.	[]
note	string \| number \| boolean \| array \| objectnull	Short free-text note recorded with this row.	[]
blockCount	string \| number \| boolean \| array \| objectnull	Block Count as recorded for this row.	[]
types	string \| number \| boolean \| array \| objectnull	Types as recorded for this row.	[]
firstType	string \| number \| boolean \| array \| objectnull	First Type as recorded for this row.	[]
url	string \| number \| boolean \| array \| objectnull	The URL this row describes.	[]

02 — sample

One record

Assembled from the example values declared on the schema above, not invented at render time.

{
  "raw": "[]",
  "type": "[]",
  "note": "[]",
  "blockCount": "[]",
  "types": "[]",
  "firstType": "[]",
  "url": "[]"
}

03 — input

What you give it

Input	Type	Description
urls	arrayrequired	Pages to extract structured data from.
output	stringoptional	flat = one summary row per page; objects = one row per schema.org object (with raw).
useProxy	booleanoptional	For sites that block datacenter IPs.
maxConcurrency	integeroptional	Fetch speed.
maxItems	integeroptional	Hard cap.

04 — run

Run Structured Data Extractor on your own input

It runs in the cloud on Apify. Nothing to install, and you are billed per result returned rather than per attempt.

Open on Apify ↗

Also in seo tools, developer tools

05 — questions

Asked before running it

7 of 7 fields described

What does Structured Data Extractor — JSON-LD / Schema.org return?: It returns 7 documented output fields: raw, type, note, blockCount, types, firstType and url. Each field declares its type, a description of what it holds, and an example value.
What input does Structured Data Extractor — JSON-LD / Schema.org require?: urls is required. A further 4 inputs are optional. The full input schema, with types and defaults, is below.
Does Structured Data Extractor — JSON-LD / Schema.org need an API key or login?: No. None of its inputs is a credential, and it reads only public data. Nothing to sign up for before the first run.
How do I run Structured Data Extractor — JSON-LD / Schema.org?: It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.