Metadata-Version: 2.1
Name: imdby
Version: 0.1.5
Summary: Python package to access the IMDb's database
Home-page: https://github.com/santhoshse7en/imdby
Author: M Santhosh Kumar
Author-email: santhoshse7en@gmail.com
License: UNKNOWN
Description: [![PyPI Version](https://img.shields.io/pypi/v/imdby.svg)](https://pypi.org/project/imdby)
        [![Coverage Status](https://coveralls.io/repos/github/santhoshse7en/imdby/badge.svg?branch=master)](https://coveralls.io/github/santhoshse7en/imdby?branch=master)
        [![License](https://img.shields.io/pypi/l/imdby.svg)](https://pypi.python.org/pypi/imdby/)
        [![Documentation Status](https://readthedocs.org/projects/pip/badge/?version=latest&style=flat)](https://santhoshse7en.github.io/imdby_doc)
        
        # imdby
        
        **imdby** is a Python package useful to retrieve and manage the data of the [IMDb](https://www.imdb.com/) movie database about movies, people, characters and companies.
        
        | Source         | Link                                       |
        | ---            |  ---                                       |
        | PyPI:          | https://pypi.org/project/imdby/            |
        | Repository:    | https://github.com/santhoshse7en/imdby/    |
        | Documentation: | https://santhoshse7en.github.io/imdby_doc/ |
        
        ## Main features
        
        * **imdby** is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Sentiment Analysis for IMDb user reviews is included.
        
        - **imdby** package can be very easily used by programmers and developers to provide access to the IMDb's data to their programs.
        
        - Platform-independent and written in Python 3 it can retrieve data from both the IMDb's web server and a local copy of the whole database.
        
        - Some simple example scripts - useful for the end users - are included in this package;
        
        imdby powers many other software and has been used in various research papers. _`Curious about that`_?    
        
        ## Dependencies
        
        * beautifulsoup4
        * selenium
        * chromedriver-binary
        * vaderSentiment
        * textblob
        * pandas
        
        ## Installation
        
        Whenever possible, please use the latest version from the repository::
        
        ```bash
        pip install git+https://github.com/santhoshse7en/imdb
        ```
        
        But if you want, you can also install the latest release from PyPI::
        
        ```bash
        pip install imdby
        ```
        
        ## A Glance
        
        Download it by clicking the green download button here on Github. Here's an example that demonstrates how to use imdby:
        
        ```python
        # create an instance of the IMDb class
        from imdby.imdb import imdb
        
        # get a movie
        details = imdb('tt4154796')
        
        # print the names of the directors of the movie
        print('Directors:')
        for i in range(len(details.directors)):
            print(details.directors[i])
        
        # print the genres of the movie
        print('Genres:')
        for i in range(len(details.genre)):
            print(details.genre[i])
        ```
        Directory of IMDb class
        
        ![dir](https://user-images.githubusercontent.com/47944792/58303052-eb5d2180-7e0b-11e9-82c1-14627ee73ca3.PNG)
        
        ## Contributing
        Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
        
        Please make sure to update tests as appropriate.
        
        ## License
        [MIT](https://choosealicense.com/licenses/mit/)
        
Keywords: imdby,imdb,movie,people,database,cinema,film,person,cast,actor,actress,director,sql,character,company,package,plain text data files,keywords,top250,bottom100,xml,bs4
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Communications :: Email
Classifier: Topic :: Office/Business
Classifier: Topic :: Software Development :: Bug Tracking
Requires-Python: >=3.5
Description-Content-Type: text/markdown
