Metadata-Version: 2.1
Name: overcast_parser
Version: 0.0.1
Summary: Overcast podcast link parser especially for pythonista.
Home-page: https://github.com/hbmartin/overcast_parser
Author: Harold Martin
Author-email: harold.martin@gmail.com
License: MIT
Project-URL: Bug Reports, https://github.com/hbmartin/overcast_parser/issues
Project-URL: Source, https://github.com/hbmartin/overcast_parser/
Description: # Overcast URL to podcast information
        Python library to obtain RSS feed URL from Overcast link, built especially for Pythonista
        
        ## Installation / Upgrade
        
        ```
        pip install overcast_parser --upgrade
        ```
        
        ## Usage
        #### See demo.py for full pythonista script
        ```
        from overcast_parser.OvercastParser import OvercastParser
        parser = OvercastParser()
        data = requests.get(overcast_url).text
        parser.feed(data)
        (itunes_id, stream_url, overcast_id, title) = parser.close()
        print(title)
        ```
        
        ## Built With
        
        * [itunes_podcast_rss](https://github.com/wotaen/itunes_podcast_rss) - obtain RSS feed URL from iTunes link
        * [pyPodcastParser](https://github.com/jrigden/pyPodcastParser) - parsing podcast RSS feeds
        
        ## Contributing
        
        Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
        
        ### Code Formatting
        
        This project is linted with [pyflakes](https://github.com/PyCQA/pyflakes) and makes strict use of [Black](https://github.com/ambv/black) for code formatting.
        
        ## Authors
        
        * [Harold Martin](https://www.linkedin.com/in/harold-martin-98526971/) - harold.martin at gmail
        
        
        ## License
        
        [MIT](LICENSE.txt)
Keywords: podcast,parser,rss,feed,pythonista,overcast,shortcuts,ios
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: Operating System :: iOS
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Markup :: XML
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
