.. --restructuredtext--

cryptoCMD: cryptoCurrency Market Data

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

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.. image:: https://img.shields.io/pypi/l/cryptoCMD.svg :target: https://github.com/guptarohit/cryptoCMD/blob/master/LICENSE

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Cryptocurrency historical market price data scraper written in Python.

Installation

::

$ pip install cryptocmd

to install from the latest source use following command

::

$ pip install git+git://github.com/guptarohit/cryptoCMD.git

Usage

===================== CoinMarketCap Scraper

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

To get all time historical data of a cryptocurrency ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code:: python

from cryptocmd import CmcScraper

# initialise scraper without time interval
scraper = CmcScraper("XRP")

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

# get data in a json format
xrp_json_data = scraper.get_data("json")

# export the data as csv file, you can also pass optional `name` parameter
scraper.export("csv", name="xrp_all_time")

# Pandas dataFrame for the same data
df = scraper.get_dataframe()

To get data of a cryptocurrency for some days ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code:: python

from cryptocmd import CmcScraper

# initialise scraper with time interval
scraper = CmcScraper("XRP", "15-10-2017", "25-10-2017")

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

# get data in a json format
json_data = scraper.get_data("json")

# export the data to csv
scraper.export("csv")

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

Following are the columns of the data """"""""""""""""""""""""""""""""""""" Date, Open, High, Low, Close, Volume, Market Cap

Acknowledgements

The data is being scrapped from coinmarketcap <https://coinmarketcap.com>_ :v: and it's free <https://coinmarketcap.com/faq/>_ to use. :tada:

Contributing

Feel free to make a pull request! :octocat:

If you found this useful, I'd appreciate your consideration in the below. ✨☕

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