Schema library social-content

Return a news-article record from a public page.

Pass this JSON Schema and a public source URL to/extract/json. Capture article title, publisher, author, date, body summary fields, and source URL.

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 news-article record.

Structured news article for LLM pipelines and media monitoring.

Field	Type	What it holds
`headline`	string, required	Main headline of the article.
`subheadline`	string	Secondary headline or deck of the article.
`author_name`	string	Name of the article's author.
`author_url`	string	URL to the author's profile or bio page.
`publication_name`	string, required	Name of the publication or outlet.
`publication_domain`	string	Domain of the publication (e.g., 'techcrunch.com').
`published_at`	string, required	ISO 8601 datetime when the article was first published.
`updated_at`	string	ISO 8601 datetime when the article was last updated.
`article_url`	string, required	Direct URL to the article.
`canonical_url`	string	Canonical URL as declared by the article page.
`body_text`	string	Full body text of the article.
`summary`	string	Short summary or abstract of the article.
`word_count`	number	Approximate word count of the article body.
`language`	string	BCP-47 language code of the article (e.g., 'en').
`section`	string	Publication section or category the article appears in.
`tags`	array	List of tags or topic labels applied to the article.
`entities_mentioned`	array	Named entities mentioned in the article.
`sentiment`	string	Overall sentiment of the article.
`paywall`	boolean	Whether the article is behind a paywall.
`image_url`	string	URL to the article's featured image.
`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.

news.tsTypeScript

import schema from './news-article.json'

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

tabstack extract json 'https://example.com/pricing' \
  --schema @./news-article.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: social profile.
Same category: software review.
The job rather than the object: the Extract API.