Segmentation endpoints aggregate matching posts by a field and return counts instead of the posts themselves. Use them to see the top sites, languages, countries, or entities for a query before (or instead of) fetching content - a quick, cheap way to size up a topic.
GET
https://api.webz.io/seg_api/news
https://api.webz.io/seg_api/blogs
https://api.webz.io/seg_api/forums
Top languages for posts mentioning bitcoin:
https://api.webz.io/seg_api/news?token=YOUR_TOKEN&q=bitcoin&field=language
{
"segmentation": [
{
"language": "english",
"num_docs": 8341
},
{
"language": "spanish",
"num_docs": 1220
}
],
"next": "/seg_api/news?ts=1751713632000&q=bitcoin&field=language&from=10",
"total_results": 34,
"more_results_available": 24,
"requests_left": 988
}| Parameter | Type | Default | Description |
|---|---|---|---|
token | string | - | Your API token |
q | string | "" | Same query syntax as search - see Query Syntax |
ts | integer | 3 days ago | Start of the window, Unix milliseconds. Windows starting more than 31 days back fall back to the 3-day default |
field | string | thread.site | Field to aggregate by - see below |
from | integer | 0 | Offset into the buckets; each page returns up to 10 |
includeSyndicated | boolean | false | Include syndicated copies |
webz_reporter | boolean | false | Include Webz Reporter content |
thread.site, thread.site_suffix, thread.site_full, thread.site_section, thread.site_type, thread.country, thread.url, thread.licensing_agency, author, language, site_category, sentiment, category, rating, published, locations, persons, person.positive, person.negative, person.neutral, organizations, organization.positive, organization.negative, organization.neutral, trust.bias, trust.category, trust.source.type, trading_symbol.ticker, trading_symbol.exchange
The topic field is available only on the News segmentation endpoint. The sentiment and entity fields (sentiment, persons, locations, organizations, person.*, organization.*, trading_symbol.*) also aggregate meaningfully only on news - these enrichments are only relevant to news content.
field=published returns a per-day histogram with yyyy-MM-dd keys.
next (or raise from) for more.ts values fall back to the 3-day default. allowNewsHistory does not apply.