Schema library gov-public-records

Return a business-registration record from a public page.

Pass this JSON Schema and a public source URL to/extract/json. Capture public entity registration, jurisdiction, status, dates, and identifiers.

Use this schema The JSON file

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' },
    },
  },
})

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

tabstack extract json https://example.com/pricing \
  --schema '{"type":"object","properties":{"plan":{"type":"string"},"price":{"type":"number"}}}'

What it captures

Fields in this business-registration record.

Business entity registration record from a state secretary of state or equivalent authority.

Field	Type	What it holds
`entity_name`	string, required	Legal registered name of the entity.
`entity_name_aliases`	array	DBA or trade names.
`entity_type`	string, required	Legal entity type.
`state_of_formation`	string, required	US state where the entity was formed.
`foreign_qualification_states`	array	States where the entity is registered as a foreign entity.
`status`	string, required	Current status of the entity.
`formation_date`	string	Date the entity was formed.
`dissolution_date`	string	Date of dissolution if applicable.
`registered_agent_name`	string	Name of the registered agent.
`registered_agent_address`	string	Address of the registered agent.
`principal_office_address`	string	Principal office street address.
`city`	string	City of the principal office.
`state`	string, required	State of the principal office.
`zip_code`	string	ZIP code of the principal office.
`officers_and_directors`	array	Officers, directors, and managers.
`annual_report_due_date`	string	Due date for next annual report.
`entity_number`	string	State-assigned entity or file number.
`irs_ein`	string	IRS Employer Identification Number (EIN).
`page_title`	string	Title of the source page. Tabstack auto-fills this from page metadata when left empty.
`favicon`	string	Favicon 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.

business.tsTypeScript

import schema from './business-registration.json'

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

tabstack extract json 'https://example.com/pricing' \
  --schema @./business-registration.json

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 schemas

Other schemas in this category.

Same category: building permit.
Same category: court filing / case.
Same category: government contract award.
The job rather than the object: the Extract API.