Glossary explainer · Current edition

What Is Structured Extraction?

Turning a page into typed records against a schema you defined first.

Independent Content Strategist & Product-Marketing Writer · Published Feb 10, 2026

Primary audience: AI application developers
Also useful for: Advanced no-code and automation builders
Tone: Educational
Reading time: 2 min
Published: Feb 10, 2026

In short

Structured extraction is the process of converting unstructured page content into records that match a schema: named fields, declared types, explicit optionality. The output is something software can validate, store, compare, and sort — as opposed to a summary, which only a person can evaluate. The schema comes first; that ordering is what separates extraction from interpretation.

The shape of it

You declare what a record looks like — plan name, monthly price, currency, seats included — and the extractor's job is to fill those fields from the page or say it could not. Nothing else is in scope. The output is a row, not a paragraph.

Illustrative — one extracted recordjson · 9 lines

{  "plan_name": "Team",  "monthly_price": 49,  "currency": "USD",  "seats_included": 5,  "support_sla": null,  "source_url": "https://example.com/pricing",  "excerpts": { "monthly_price": "Team — $49/month, includes 5 seats." }}

Extraction versus interpretation

Two different jobs, often confused

	Extraction	Interpretation
Question	What does the page state?	What does it imply?
Output	Typed fields with excerpts	Assessment, comparison, recommendation
Checkable by	String match against the page	Human judgment
Failure mode	Missing or wrong field	Confident narrative with no basis

Both are legitimate. The mistake is letting one pipeline do both, because then a judgment call is stored in the same shape as a fact and inherits its apparent reliability.

Practical takeaway

Schema first, content second.
Explicit nulls are the difference between a gap and an invention.
Extraction states what the page says; interpretation says what it means.
Validation is part of extraction, not a later cleanup step.