Library for fetching coin/token metrics data from the internet.
Karpet is a tiny library with just a few dependencies for fetching coins/tokens metrics data the internet.
It can provide following data:
coin/token historical price data (no limits)
google trends for the given list of keywords (longer period than official API)
twitter scraping for the given keywords (no limits)
much more info about crypto coins/tokens (no rate limits)
What is upcoming?
Have a request? Open an issue ;)
Library uses a few nifty dependencies and is Python 3.6+ only. There is no need to install dependencies you don’t need. Therefore this library utilizes extras which install optional dependencies:
for Google trends - google
for Twitter scraping - twitter
Install the library via pip.
~ pip install karpet # Basics only ~ pip install karpet[twitter] # For Twitter scraping ~ pip install karpet[google] # For Google trends ~ pip install karpet[twitter,google] # All features
Import the library class first.
from karpet.karpet import Karpet
Symbol (ticker) -> coninmarketcap.com URL slug conversion.
c = Karpet() c.get_coin_slug("BTC") # bitcoin
Retrieving historical data.
c = Karpet(date(2019, 1, 1), date(2019, 5, 1)) df = c.fetch_crypto_historical_data(coin="bitcoin") # Dataframe with historical data df.head()
Retrieving exchange list.
c = Karpet() c.fetch_exchanges("nrg") # ['DigiFinex', 'KuCoin', 'CryptoBridge', 'Bitbns', 'CoinExchange']
Retrieving twitter tweets.
c = Karpet(date(2019, 1, 1), date(2019, 5, 1)) df = c.fetch_tweets(kw_list=["bitcoin"], lang="en") # Dataframe with tweets. df.head()
Retrieving Google Trends - in percents for the given date range.
c = Karpet(date(2019, 1, 1), date(2019, 5, 1)) df = c.fetch_google_trends(kw_list=["bitcoin"]) # Dataframe with trends. df.head()
And with a few lines of code you can get a chart
df = df.set_index("date") df.plot()
Added fetch_exchanges() method for retrieving symbol exchange list.
Removed obsolete library dependency.
Twitter scraping added.
This is my personal library I use in my long-term project. I can pretty much guarantee it will live for a long time then. I will add new features over time and I more than welcome any help or bug reports. Feel free to open an issue or merge request.
The code is is licensed under MIT license.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.