Metadata-Version: 2.1
Name: extractemail
Version: 1.0.0
Summary: Extract E-Mail from String
Home-page: https://yoginth.ml
Author: Yoginth
Author-email: yoginth@zoho.com
License: UNKNOWN
Project-URL: Patreon, https://www.patreon.com/yoginth
Project-URL: Source, https://gitlab.com/yoginth/extractemail
Description: ## Extract E-Mail
        
        > Extract E-Mail from String
        
        ## Screenshot
        
        <img src="https://gitlab.com/yoginth/extractemail/raw/master/Screenshot.png" width="550">
        
        ## Install
        
        ```
        $ pip install extractemail
        ```
        
        ## Usage
        
        ```python
        import extractemail
        
        text = """
            Yoginth is very productive person he has multiple emails
            like yoginth@zoho.com but he likes yoginth@gmail.com
            but the username has already taken, yoginth wants to
            get yoginth@gitlab.com but he want to work there.
        """
        
        extractemail.extract(text)
        #=> ['yoginth@zoho.com', 'yoginth@gmail.com', 'yoginth@gitlab.com']
        ```
        
        ## Get Help
        
        There are few ways to get help:
        
         1. Please [post questions on Stack Overflow](https://stackoverflow.com/questions/ask). You can open issues with questions, as long you add a link to your Stack Overflow question.
        
         2. For bug reports and feature requests, open issues.
        
         3. For direct and quick help, you can [email me](mailto://yoginth@zoho.com).
        
        ## How to contribute
        Have an idea? Found a bug? See [how to contribute][contributing].
        
        Thanks!
        
        ## License
        
        [MIT][license]
        
        [LICENSE]: https://yoginth.mit-license.org/
        [contributing]: /CONTRIBUTING.md
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Natural Language :: English
Classifier: Environment :: Plugins
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/markdown
