Schema library b2b-intel

Return a funding-round record from a public page.

Pass this JSON Schema and a public source URL to/extract/json. Capture public funding announcement details with source context and dates.

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 funding-round record.

Schema for venture capital and private equity funding round records.

Field	Type	What it holds
`company_name`	string, required	Name of the company that raised funding.
`company_domain`	string	Website domain of the funded company.
`round_type`	string, required	Type of funding round.
`amount_usd`	number	Amount raised in this round in USD.
`currency`	string	ISO 4217 currency code of the raise.
`announced_date`	string, required	Date the funding round was publicly announced.
`closed_date`	string	Date the funding round officially closed.
`lead_investor`	string	Name of the lead investor.
`co_investors`	array	List of participating co-investors.
`total_raised_usd`	number	Total funding raised to date in USD.
`post_money_valuation_usd`	number	Post-money valuation in USD.
`pre_money_valuation_usd`	number	Pre-money valuation in USD.
`investor_count`	number	Total number of investors participating in this round.
`use_of_funds`	string	Stated intended use of the raised funds.
`company_hq_city`	string	City of the company's headquarters.
`company_hq_country`	string	Country of the company's headquarters.
`company_industry`	string	Industry of the funded company.
`source_type`	string	Type of source (e.g., press_release, crunchbase, news_article).
`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.

funding.tsTypeScript

import schema from './funding-round.json'

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

tabstack extract json 'https://example.com/pricing' \
  --schema @./funding-round.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: api documentation endpoint.
Same category: company profile.
Same category: competitor profile.
The job rather than the object: the Extract API.