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

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

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

Connecting to Zoho Inventory Data

Connecting to Zoho Inventory 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.

In order to connect to Zoho Inventory, set the following connection properties:

• OrganizationId: set this to the ID associated with your specific Zoho Inventory organization
• InitiateOAuth: set the to "GETANDREFRESH"
• AccountsServer (Optional): set this full Account Server URL (only when manually refreshing the OAuth token)

The connectors use OAuth to authenticate with Zoho Inventory. For more information, refer to the Getting Started section of the Help documentation.

After installing the CData Zoho Inventory Connector, follow the procedure below to install the other required modules and start accessing Zoho Inventory 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 Zoho Inventory 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.zohoinventory as mod

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

cnxn = mod.connect("OrganizationId=YourOrganizationId;AccountsServer=YourAccountServerURL;InitiateOAuth=GETANDREFRESH;")

Create a SQL Statement to Query Zoho Inventory

Use SQL to create a statement for querying Zoho Inventory. In this article, we read data from the Contacts entity.

sql = "SELECT Id, CustomerName FROM Contacts WHERE FirstName = 'Katherine'"

Extract, Transform, and Load the Zoho Inventory Data

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

Loading Zoho Inventory Data into a CSV File

table1 = etl.fromdb(cnxn,sql)

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

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

In the following example, we add new rows to the Contacts table.

Adding New Rows to Zoho Inventory

table1 = [ ['Id','CustomerName'], ['NewId1','NewCustomerName1'], ['NewId2','NewCustomerName2'], ['NewId3','NewCustomerName3'] ]

etl.appenddb(table1, cnxn, 'Contacts')

With the CData Python Connector for Zoho Inventory, you can work with Zoho Inventory 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 Python Connector for Zoho Inventory to start building Python apps and scripts with connectivity to Zoho Inventory data. Reach out to our Support Team if you have any questions.

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Full Source Code

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

cnxn = mod.connect("OrganizationId=YourOrganizationId;AccountsServer=YourAccountServerURL;InitiateOAuth=GETANDREFRESH;")

sql = "SELECT Id, CustomerName FROM Contacts WHERE FirstName = 'Katherine'"

table1 = etl.fromdb(cnxn,sql)

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

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

table3 = [ ['Id','CustomerName'], ['NewId1','NewCustomerName1'], ['NewId2','NewCustomerName2'], ['NewId3','NewCustomerName3'] ]

etl.appenddb(table3, cnxn, 'Contacts')