--- 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. |