# pydantic2_schemaorg
[](https://pypi.python.org/pypi/pydantic2-schemaorg/)
[](https://www.python.org/downloads/)
[](https://github.com/blurry-dev/pydantic2_schemaorg/blob/master/LICENSE)
Use [Schema.org](https://schema.org) types in [pydantic](https://pydantic-docs.helpmanual.io/)!
**pydantic2_schemaorg** contains all the models defined by schema.org. The pydantic classes are auto-generated from the
schema.org model definitions that can be found
on [https://schema.org/version/latest/schemaorg-current-https.jsonld](https://schema.org/version/latest/schemaorg-current-https.jsonld)
## Requirements
Works with python >= 3.10
## How to install
```python
pip install pydantic2-schemaorg
```
Import any class you want to use by with the following convention
```python
from pydantic2_schemaorg.<SCHEMAORG_MODEL_NAME> import <SCHEMAORG_MODEL_NAME>
```
A full (hierarchical) list of Schema.org model names can be found [here](https://schema.org/docs/full.html)
## Example usages
```python
from pydantic2_schemaorg.ScholarlyArticle import ScholarlyArticle
scholarly_article = ScholarlyArticle(
url='https://github.com/blurry-dev/pydantic2-schemaorg/pydantic2_schemaorg',
sameAs='https://github.com/blurry-dev/pydantic2-schemaorg/pydantic2_schemaorg',
copyrightNotice='Free to use under the MIT license',
dateCreated='15-12-2021'
)
print(scholarly_article.json())
```
```json
{"@type": "ScholarlyArticle", "url": "https://github.com/blurry-dev/pydantic2-schemaorg/pydantic2_schemaorg", "sameAs": "https://github.com/blurry-dev/pydantic2-schemaorg/pydantic2_schemaorg", "copyrightNotice": "Free to use under the MIT license", "dateCreated": "15-12-2021"}
```
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"description": "# pydantic2_schemaorg\n\n[](https://pypi.python.org/pypi/pydantic2-schemaorg/)\n[](https://www.python.org/downloads/)\n[](https://github.com/blurry-dev/pydantic2_schemaorg/blob/master/LICENSE)\n\nUse [Schema.org](https://schema.org) types in [pydantic](https://pydantic-docs.helpmanual.io/)!\n\n**pydantic2_schemaorg** contains all the models defined by schema.org. The pydantic classes are auto-generated from the\nschema.org model definitions that can be found\non [https://schema.org/version/latest/schemaorg-current-https.jsonld](https://schema.org/version/latest/schemaorg-current-https.jsonld)\n\n## Requirements\n\nWorks with python >= 3.10\n\n## How to install\n\n```python\npip install pydantic2-schemaorg\n```\n\nImport any class you want to use by with the following convention\n\n```python\nfrom pydantic2_schemaorg.<SCHEMAORG_MODEL_NAME> import <SCHEMAORG_MODEL_NAME>\n```\n\nA full (hierarchical) list of Schema.org model names can be found [here](https://schema.org/docs/full.html)\n\n## Example usages\n\n```python\nfrom pydantic2_schemaorg.ScholarlyArticle import ScholarlyArticle\n\nscholarly_article = ScholarlyArticle(\n url='https://github.com/blurry-dev/pydantic2-schemaorg/pydantic2_schemaorg',\n sameAs='https://github.com/blurry-dev/pydantic2-schemaorg/pydantic2_schemaorg',\n copyrightNotice='Free to use under the MIT license',\n dateCreated='15-12-2021'\n)\nprint(scholarly_article.json())\n```\n\n```json\n{\"@type\": \"ScholarlyArticle\", \"url\": \"https://github.com/blurry-dev/pydantic2-schemaorg/pydantic2_schemaorg\", \"sameAs\": \"https://github.com/blurry-dev/pydantic2-schemaorg/pydantic2_schemaorg\", \"copyrightNotice\": \"Free to use under the MIT license\", \"dateCreated\": \"15-12-2021\"}\n```\n",
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