karpet 0.2.0rc1

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

Karpet

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 ;)

Dependencies

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

Usage

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(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
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()

Credits

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.