Basiq Rapid

A Python 3+ wrapper for the basiq.io API

---

About

Basiq Rapid is a Python wrapper for the basiq.io API.

Perfect for the developer and analyst:

✅:	API Filters
✅:	Quick Integration with Pandas 🐼
✅:	Object-oriented wrapper allows for simultaneous users and operations

Refer to basiq API for API (and thus Basiq Rapid) capabilities.

Basiq Rapid is not affiliated with basiq.io. See disclaimer.

Install

Installation:

pip install basiqrapid

Dependencies: json, requests, pandas

Documentation

Basiq Rapid Read the Docs

Quickstart

Import Basiq Rapid into Python:

import basiqrapid as bq

Create a session:

API_KEY = ""

session = bq.Session(API_KEY)

Get institutions:

institution_dict = session.getInstitutions()
wbc_code = institution_dict['Westpac Banking Corporation']

Create a User:

usr = session.createUser(email="gavin@hooli.com", mobile="+61888000888")

Create a connection:

job = usr.addConnection(loginID="gavinBelson", password="hooli2016", institutionID="AU00000")
print(job.getStatus())

Some User Capabilities:

transactions = usr.getTransactions() # Returns list of Transaction objects
connections = usr.getConnections() # Returns list of Connection objects
income = usr.getIncome()
income_year = income.regularIncomeYear

Some Connection Capabilities:

first_connection = connections[0]
first_connection.institution_id # Returns institution ID
accounts = first_connection.getAccounts()

Some Account Capabilities:

first_account = accounts[0]
transactions = first_account.getTransactions()

Some Transaction Capabilities:

first_transaction = transactions[0]
print(transaction.balance)
print(transaction.description)

Convert to pandas DataFrame:

import pandas as pd

transactions = usr.getTransactions()
trans_df = bq.to_df(transactions)

accounts = usr.getAccounts()
acc_df = bq.to_df(accounts)

Filters:

f = bq.newFilter()
f.gt("transaction.postDate","2018-01-28")
transactions = usr.getTransactions(f)