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Schema library healthcare

Return a drug-formulary entry from a public page.

Pass this JSON Schema and a public source URL to/extract/json. Normalize public formulary fields and plan context. Check the official source before acting on it.

tabstack.ai/pricing

TEXT

MARKDOWN

LINKS

extract.tsTypeScript
const res = await client.extract.json({
  url: 'https://example.com/pricing',
  json_schema: {
    type: 'object',
    properties: {
      plan: { type: 'string' },
      price: { type: 'number' },
    },
  },
})

What it captures

Fields in this drug-formulary entry.

A drug entry from a health insurance plan formulary, including tier, coverage requirements, and pricing.

FieldTypeWhat it holds
drug_name_brandstringBrand name of the drug.
drug_name_genericstring, requiredGeneric (INN) name of the drug.
ndcstringNational Drug Code (NDC).
manufacturerstringDrug manufacturer.
drug_classstringPharmacological drug class.
dosage_formsarrayAvailable dosage forms, strengths, and routes.
formulary_tierstringFormulary tier which determines cost-sharing.
prior_auth_requiredbooleanWhether prior authorization is required.
quantity_limitsobjectQuantity limits on coverage.
step_therapy_requiredbooleanWhether step therapy (fail-first) is required.
plan_namestringName of the insurance plan.
plan_yearnumberPlan year for this formulary.
retail_price_30daynumberRetail pharmacy price for a 30-day supply in USD.
mail_order_price_90daynumberMail order price for a 90-day supply in USD.
generic_availablebooleanWhether a generic equivalent is available.
black_box_warningbooleanWhether the drug carries an FDA black box warning.
controlled_substance_schedulestringDEA controlled substance schedule if applicable.
page_titlestringTitle of the source page. Tabstack auto-fills this from page metadata when left empty.
faviconstringFavicon URL of the source page. Tabstack auto-fills this from page metadata when left empty.

Example

Inspect and validate the response shape.

The example below is generated from the schema to demonstrate its structure. Edit the object or paste a real response to validate it in your browser.

What it checks

Pass or fail, and the first reason why.

Whether the text parses as JSON, whether the top level is an object, and whether each field the schema requires is present at the declared type. A null is allowed anywhere. Every key you ask for is present. A field the page does not state can come back null, empty, a placeholder number, or a guessed value. Validate values, not just keys.

Example data, not a live response.

Usage

Send the schema with your source URL.

The schema travels with the request rather than living on your account, so the same call can send a trimmed version for one page and the full one for another. Every key you ask for is present. A field the page does not state can come back null, empty, a placeholder number, or a guessed value. Validate values, not just keys.

drug.tsTypeScript
import schema from './drug-formulary-entry.json'

const res = await client.extract.json({
  url: 'https://example.com/pricing',
  json_schema: schema,
})

Adaptation

Make the schema match your application.

The schema is a starting point, not a guarantee that every source page contains every field. Three things are worth doing before you write one into your system, and the schema-authoring guide covers the rest.

Remove what you do not need

A shorter schema is a smaller response and fewer fields to handle.

Describe the ambiguous ones

A description tells Extract what to look for when a label could mean two things.

Validate before you store

Check the returned object against the schema rather than trusting it.

Related

Related schemas

Other schemas in this category.

START FREE

Try this schema on a public page.

Start with 10,000 free credits. No credit card required.

curl -X POST https://api.tabstack.ai/v1/extract/json -H "Authorization: Bearer $TABSTACK_API_KEY" -d '{"url":"...","json_schema":{...}}'