---
title: "Network Types - Pydantic"
description: "!https://docs.pydantic.dev/2.7/api/networks/#pydantic.networks.EmailStr"
date: 2024-04-30
published: true
tags:
  - thought
template: link
---


![https://docs.pydantic.dev/2.7/api/networks/<a href="/tags/pydantic/" class="hashtag-tag" data-tag="pydantic" data-count=3 data-reading-time=3 data-reading-time-text="3 minutes">#pydantic</a>.networks.EmailStr](/static/https://docs.pydantic.dev/2.7/api/networks/<a href="/tags/pydantic/" class="hashtag-tag" data-tag="pydantic" data-count=3 data-reading-time=3 data-reading-time-text="3 minutes">#pydantic</a>.networks.EmailStr)

pydantic has a nice built in email validator `EmailStr`

It requires an optional pydantic dependency 

``` bash
pip install email-validator
```

Then you can validate email addresses.

``` python
from pydantic import BaseModel, EmailStr

class Model(BaseModel):
    email: EmailStr

print(Model(email='contact@mail.com'))
#> email='contact@mail.com'
```
