Metadata-Version: 2.0
Name: cryptocmd
Version: 0.1.3
Summary: Cryptocurrency historical market price data scrapper.
Home-page: https://github.com/guptarohit/cryptocmd
Author: Rohit Gupta
Author-email: rohitg.tech@gmail.com
License: BSD
Description-Content-Type: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Utilities
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: BSD License
Requires-Dist: beautifulsoup4
Requires-Dist: requests
Provides-Extra: pandas
Requires-Dist: pandas; extra == 'pandas'


cryptoCMD: cryptoCurrency Market Data
======================================

.. image:: https://img.shields.io/badge/Made%20with-Python-1f425f.svg
    :target: https://www.python.org/

.. image:: https://img.shields.io/pypi/v/cryptoCMD.svg
    :target: https://pypi.python.org/pypi/cryptoCMD

.. image:: https://img.shields.io/pypi/l/cryptoCMD.svg
    :target: https://pypi.python.org/pypi/cryptoCMD

.. image:: https://img.shields.io/pypi/wheel/cryptoCMD.svg
    :target: https://pypi.python.org/pypi/cryptoCMD

.. image:: https://img.shields.io/pypi/pyversions/cryptoCMD.svg
    :target: https://pypi.python.org/pypi/cryptoCMD

.. image:: http://hits.dwyl.io/guptarohit/cryptoCMD.svg
    :target: http://hits.dwyl.io/guptarohit/cryptoCMD


Cryptocurrency historical market price data scraper written in Python.

Usage
------
=====================
CoinMarketCap Scraper
=====================

Following methods available to get data in multiple formats from https://coinmarketcap.com

.. code:: python

    from cryptocmd import CmcScraper

    # initialise scraper
    scraper = CmcScraper('XRP', '15-10-2017', '25-10-2017')

    # get data as list of list
    headers, data = scraper.get_data()

    # export the data to csv
    scraper.export_csv()

    # get dataframe for the data
    df = scraper.get_dataframe()


Installation
------------

::

    $ pip install cryptocmd


Contributing
------------

Feel free to make a pull request!


