Skip to main content

Get the price history for CoinMarketCap-listed currencies

Project description

CoinMarketCap history scraper


Obtain CoinMarketCap USD price history data for CoinMarketCap-listed cryptocurrencies in CSV format.

Use this library as a command-line script to obtain historical cryptocurrency data on the fly, or import the library to obtain cryptocurrency data for your programs.


Download the zip file or navigate to the desired install directory and run:

$ git clone

To install the required dependencies, navigate into the repo and run:

$ pip install -r requirements.txt


Command Line

Among other things, this is useful for US tax reporting. If you want to know the cost basis for a trade (or for coins acquired through mining), the IRS requires you to denominate that cost basis in USD. In the case of token-for-token trades (e.g. purchasing ETH with BTC), that requires you know the USD:BTC exchange rate at the time of the trade.

Surprisingly, as of October 2017, it's not easy to get this data in a machine-readable format anywhere online.

Rather than getting the exchange rate at the exact moment of your trade, which is generally not feasible, the IRS standard (at least for similar situations w/stock) is to use the average of a stock's high and low price for the day. CoinMarketCap doesn't provide this figure, but this tool calculates this number and includes it in the output.

Command Line Usage

In the terminal, navigate into the repo directory and run:

$ python <currency1> <start_date> <end_date>


  • currency is the (case-insensitive) name of the currency / token as displayed on CoinMarketCap, with dashes in place of spaces
  • start_date is the beginning of the range to fetch data for in yyyy-mm-dd format. For example, 2017-10-01 (for 2017 October 10th)
  • end_year is the end of the range to fetch data for in yyyy-mm-dd format. You may use a date in the future to obtain the latest data. Format is the same as in the start date.

Data for multiple cryptocurrencies can be obtained with:

$ python <currency_1,currency_2,...,currency_n> <start_date> <end_date>

Note: currencies must be comma-separated, with no spaces in between.

The above information can also be found by running:

$ python -h

Write outputs to a file by running:

$ <currency> <start_date> <end_date> > <output_filename>

Command Line Examples

Collecting data for one cryptocurrency:

$ python bitcoin 2017-01-01 2017-12-31

Collecting data for multiple cryptocurrencies:

$ python bitcoin,ripple,ethereum 2017-01-01 2017-12-31

Writing output to a file:

$ python bitcoin 2017-01-01 2017-12-31 > bitcoin_prices.csv

Writing output for multiple cryptocurrencies to a file:

$ python bitcoin,ripple,ethereum 2017-01-01 2017-12-31 > bitcoin_ripple_ethereum_prices.csv


You can also use as a module in other python modules to get back a pandas dataframe with a cryptocurrency's history.

First, you may need to add the path to in your sys.path through a command like the following:


(Alternatively, just move the file to the directory of the including module.)

Second, import the module:

import coinmarketcap_usd_history

Finally perform this to obtain the dataframe:

df = coinmarketcap_usd_history.main(['bitcoin','2017-01-01','2017-12-31','--dataframe'])

If you just wish to have the CSV output returned as a string to another python module, simply omit the '--dataframe' parameter.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for cmctestingthree, version 0.0.1
Filename, size File type Python version Upload date Hashes
Filename, size cmctestingthree-0.0.1-py3-none-any.whl (8.4 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size cmctestingthree-0.0.1.tar.gz (7.4 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page