CryptoScrap

Python scraper to retrieve all the cryptocurrency historical data from CryptoCompare.

In short, it makes several requests to CryptoCompare HistoDay, HistoHour and HistoMinute API endpoints, aggregates the resulting data and stores it on disk in a .csv file. The Scraper will first look for existing files on disk, and retrieve only the missing data.

The files are saved under this format:

• path : <histoType>/<market>.csv (ex: hour/BTC-USD.csv)
• CSV Header: time, open, high, low, close, volumefrom, volumeto

Usage

To install the Scraper, just run "pip install ." in the parent cryptoscrap directory (where the setup.py file is located).

Then, the use is pretty straight forward:

from cryptoscrap.scraper import Scraper


s = Scraper("path/where/data/will/be/stored")

# Scrap the historical data of ALL active coins
s.scrap_minute()     # retrieve minute data for ***-BTC (the default market is Bitcoin)
s.scrap_hour("USD")  # retrieve hourly data for ***-USD
s.scrap_day("ETH")   # retrieve daily  data for ***-ETH


# The coins are scrapped by order of their market cap. You can stop
# the scrapping at any time with a KeyboardInterrupt (Ctrl + C).

# If you wish to force the Scraper to rewrite the existing files
# and not append them, just add the argument "update=False".


# Scrap the historical data of a specific market
s.scrap_coin_minute("ETH", "USD")  # retrieve minute data for the market ETH-USD
s.scrap_coin_hour("LTC", "BTC")    # retrieve hourly data for the market LTC-BTC
s.scrap_coin_day("DASH", "BTC")    # retrieve minute data for the market DASH-BTC


# Retrieve the list of all active coins, sorted by marketcap
active_coins = s.get_active_coin_list()

Please note that:

• CryptoCompare API allows to retrieve minute data only for the past 7 days
• "Active coins" are cryptocurrencies having recent data available on CoinMarketCap

Requirements

• requests
• pandas

Credits

A special thanks goes to stefs304 and his cryCompare wrapper I use in this Scraper.