---
title: Global News
description: OpenBB Platform Data Model
---
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
---
## Implementation details
### Class names
| Model name | Parameters class | Data class |
| ---------- | ---------------- | ---------- |
| `GlobalNews` | `GlobalNewsQueryParams` | `GlobalNewsData` |
### Import Statement
```python
from openbb_core.provider.standard_models.global_news import (
GlobalNewsData,
GlobalNewsQueryParams,
)
```
## Parameters
| Name | Type | Description | Default | Optional |
| ---- | ---- | ----------- | ------- | -------- |
| limit | int | The number of data entries to return. Here its the no. of articles to return. | 20 | True |
| provider | Literal['benzinga', 'biztoc', 'fmp', 'intrinio'] | The provider to use for the query, by default None. If None, the provider specified in defaults is selected or 'benzinga' if there is no default. | benzinga | True |
| Name | Type | Description | Default | Optional |
| ---- | ---- | ----------- | ------- | -------- |
| limit | int | The number of data entries to return. Here its the no. of articles to return. | 20 | True |
| provider | Literal['benzinga', 'biztoc', 'fmp', 'intrinio'] | The provider to use for the query, by default None. If None, the provider specified in defaults is selected or 'benzinga' if there is no default. | benzinga | True |
| display | Literal['headline', 'abstract', 'full'] | Specify headline only (headline), headline + teaser (abstract), or headline + full body (full). | full | True |
| date | str | Date of the news to retrieve. | None | True |
| start_date | str | Start date of the news to retrieve. | None | True |
| end_date | str | End date of the news to retrieve. | None | True |
| updated_since | int | Number of seconds since the news was updated. | None | True |
| published_since | int | Number of seconds since the news was published. | None | True |
| sort | Literal['id', 'created', 'updated'] | Key to sort the news by. | created | True |
| order | Literal['asc', 'desc'] | Order to sort the news by. | desc | True |
| isin | str | The ISIN of the news to retrieve. | None | True |
| cusip | str | The CUSIP of the news to retrieve. | None | True |
| channels | str | Channels of the news to retrieve. | None | True |
| topics | str | Topics of the news to retrieve. | None | True |
| authors | str | Authors of the news to retrieve. | None | True |
| content_types | str | Content types of the news to retrieve. | None | True |
| Name | Type | Description | Default | Optional |
| ---- | ---- | ----------- | ------- | -------- |
| limit | int | The number of data entries to return. Here its the no. of articles to return. | 20 | True |
| provider | Literal['benzinga', 'biztoc', 'fmp', 'intrinio'] | The provider to use for the query, by default None. If None, the provider specified in defaults is selected or 'benzinga' if there is no default. | benzinga | True |
| filter | Literal['crypto', 'hot', 'latest', 'main', 'media', 'source', 'tag'] | Filter by type of news. | latest | True |
| source | str | Filter by a specific publisher. Only valid when filter is set to source. | bloomberg | True |
| tag | str | Tag, topic, to filter articles by. Only valid when filter is set to tag. | None | True |
| term | str | Search term to filter articles by. This overrides all other filters. | None | True |
## Data
| Name | Type | Description |
| ---- | ---- | ----------- |
| date | datetime | The date of the data. Here it is the published date of the news. |
| title | str | Title of the news. |
| images | List[Dict[str, str]] | Images associated with the news. |
| text | str | Text/body of the news. |
| url | str | URL of the news. |
| Name | Type | Description |
| ---- | ---- | ----------- |
| date | datetime | The date of the data. Here it is the published date of the news. |
| title | str | Title of the news. |
| images | List[Dict[str, str]] | Images associated with the news. |
| text | str | Text/body of the news. |
| url | str | URL of the news. |
| id | str | ID of the news. |
| author | str | Author of the news. |
| teaser | str | Teaser of the news. |
| channels | str | Channels associated with the news. |
| stocks | str | Stocks associated with the news. |
| tags | str | Tags associated with the news. |
| updated | datetime | None |
| Name | Type | Description |
| ---- | ---- | ----------- |
| date | datetime | The date of the data. Here it is the published date of the news. |
| title | str | Title of the news. |
| images | List[Dict[str, str]] | Images associated with the news. |
| text | str | Text/body of the news. |
| url | str | URL of the news. |
| favicon | str | Icon image for the source of the article. |
| tags | List[str] | Tags for the article. |
| id | str | Unique Article ID. |
| score | float | Search relevance score for the article. |
| Name | Type | Description |
| ---- | ---- | ----------- |
| date | datetime | The date of the data. Here it is the published date of the news. |
| title | str | Title of the news. |
| images | List[Dict[str, str]] | Images associated with the news. |
| text | str | Text/body of the news. |
| url | str | URL of the news. |
| site | str | Site of the news. |
| Name | Type | Description |
| ---- | ---- | ----------- |
| date | datetime | The date of the data. Here it is the published date of the news. |
| title | str | Title of the news. |
| images | List[Dict[str, str]] | Images associated with the news. |
| text | str | Text/body of the news. |
| url | str | URL of the news. |
| id | str | Article ID. |
| company | Dict[str, Any] | Company details related to the news article. |