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Library for fetching coin/token metrics data from the internet.

Project description


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)

What is upcoming?

  • Reddit metrics

  • 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) -> URL slug conversion.

c = Karpet(date(2019, 1, 1), date(2019, 5, 1))
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

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.

And with a few lines of code you can get a chart

df = df.set_index("date")


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.

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