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Connect to live data from Coinbase with the API Driver

Connect to Coinbase

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How to Build an ETL App for Coinbase Data in Python with CData


Create ETL applications and real-time data pipelines for Coinbase data in Python with petl.

The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData API Driver for Python and the petl framework, you can build Coinbase-connected applications and pipelines for extracting, transforming, and loading Coinbase data. This article shows how to connect to Coinbase with the CData Python Connector and use petl and pandas to extract, transform, and load Coinbase data.

With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live Coinbase data in Python. When you issue complex SQL queries from Coinbase, the driver pushes supported SQL operations, like filters and aggregations, directly to Coinbase and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to Coinbase Data

Connecting to Coinbase data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.

Start by setting the Profile connection property to the location of the Coinbase Profile on disk (e.g. C:\profiles\Coinbase.apip). Next, set the ProfileSettings connection property to the connection string for Coinbase (see below).

Coinbase API Profile Settings

Coinbase uses OAuth-based authentication.

First you need to register an OAuth app with Coinbase. This is done from your account under 'Settings' > 'API Access' > 'New OAuth2 Application'.

After setting the following connection properties, you are ready to connect:

  • AuthScheme: Set this to OAuth.
  • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
  • OAuthClientId: Set this to the ClientID that is specified in you app settings.
  • OAuthClientSecret: Set this to the ClientSecret that is specified in you app settings.
  • CallbackURL: Set this to the Redirect URI you specified in your app settings.

After installing the CData Coinbase Connector, follow the procedure below to install the other required modules and start accessing Coinbase through Python objects.

Install Required Modules

Use the pip utility to install the required modules and frameworks:

pip install petl
pip install pandas

Build an ETL App for Coinbase Data in Python

Once the required modules and frameworks are installed, we are ready to build our ETL app. Code snippets follow, but the full source code is available at the end of the article.

First, be sure to import the modules (including the CData Connector) with the following:

import petl as etl
import pandas as pd
import cdata.api as mod

You can now connect with a connection string. Use the connect function for the CData Coinbase Connector to create a connection for working with Coinbase data. 

cnxn = mod.connect("Profile=C:\profiles\Coinbase.apip;Authscheme=OAuth;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;")

Create a SQL Statement to Query Coinbase

Use SQL to create a statement for querying Coinbase. In this article, we read data from the Deposits entity. 

sql = "SELECT Id, Amount FROM Deposits WHERE Committed = 'true'"

Extract, Transform, and Load the Coinbase Data

With the query results stored in a DataFrame, we can use petl to extract, transform, and load the Coinbase data. In this example, we extract Coinbase data, sort the data by the Amount column, and load the data into a CSV file.

Loading Coinbase Data into a CSV File

table1 = etl.fromdb(cnxn,sql)

table2 = etl.sort(table1,'Amount')

etl.tocsv(table2,'deposits_data.csv')

With the CData API Driver for Python, you can work with Coinbase data just like you would with any database, including direct access to data in ETL packages like petl.

Free Trial & More Information

Download a free, 30-day trial of the CData API Driver for Python to start building Python apps and scripts with connectivity to Coinbase data. Reach out to our Support Team if you have any questions.


Full Source Code


import petl as etl
import pandas as pd
import cdata.api as mod

cnxn = mod.connect("Profile=C:\profiles\Coinbase.apip;Authscheme=OAuth;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;")

sql = "SELECT Id, Amount FROM Deposits WHERE Committed = 'true'"

table1 = etl.fromdb(cnxn,sql)

table2 = etl.sort(table1,'Amount')

etl.tocsv(table2,'deposits_data.csv')