Schema library b2b-intel
Return a press release or news mention from a public page.
Pass this JSON Schema and a public source URL to/extract/json. Normalize public announcements and coverage into a record for research or monitoring.
TEXT
MARKDOWN
LINKS
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 press release or news mention.
Schema for press releases and news mentions about B2B companies.
| Field | Type | What it holds |
|---|---|---|
headline | string, required | Headline or title of the press release or news article. |
company_name | string, required | Primary company mentioned or featured. |
company_domain | string | Website domain of the primary company. |
publication_name | string | Name of the publication or newswire. |
author | string | Author of the article or press release. |
publish_date | string, required | Date the article or press release was published. |
mention_type | string, required | Category of the news mention. |
summary | string | Short summary or lead paragraph. |
full_text | string | Full text content of the press release or article. |
sentiment | string | Inferred sentiment of the mention. |
quote_from_exec | string | Notable executive quote from the article. |
related_companies | array | Other companies mentioned in the article. |
related_products | array | Products mentioned in the 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.
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.
import schema from './press-release-news-mention.json'
const res = await client.extract.json({
url: 'https://example.com/pricing',
json_schema: schema,
})tabstack extract json 'https://example.com/pricing' \
--schema @./press-release-news-mention.jsonAdaptation
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.
- Same category: api documentation endpoint.
- Same category: company profile.
- Same category: competitor profile.
- The job rather than the object: the Extract API.