How to Build an ETL App for Zoho Recruit 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 API Driver for Python and the petl framework, you can build Zoho Recruit-connected applications and pipelines for extracting, transforming, and loading Zoho Recruit data. This article shows how to connect to Zoho Recruit with the CData Python Connector and use petl and pandas to extract, transform, and load Zoho Recruit data.

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

Connecting to Zoho Recruit Data

Connecting to Zoho Recruit 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.

To authenticate to ZohoRecruit, and connect to your own data or to allow other users to connect to their data, you can use the OAuth standard.

Using OAuth Authentication

First, you will need to register an OAuth application with ZohoRecruit. To do so, go to the Zoho Developer Console, add a new Client (Server-based application) and set a valid OAuth redirect URL. Your OAuth application will be assigned a client id and a client secret. Additionally, you will need to set the relevant Domain (.com, .eu, .in, .com.cn, or .jp), which defaults to .com.

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 client_id that is specified in your app settings.
• OAuthClientSecret: Set this to the client_secret that is specified in your app settings.
• CallbackURL: Set this to the Redirect URI that is specified in your app settings.
• Domain: Set this in ProfileSettings to your ZohoRecruit account domain (e.g. .com, .eu, .in, .com.cn, .jp).

Example connection string:

Profile=C:\profiles\ZohoRecruit.apip;ProfileSettings='Domain=.com';AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;

After installing the CData Zoho Recruit Connector, follow the procedure below to install the other required modules and start accessing Zoho Recruit 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 Recruit 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 Zoho Recruit Connector to create a connection for working with Zoho Recruit data.

cnxn = mod.connect("Profile=C:\profiles\ZohoRecruit.apip;ProfileSettings='Domain=.com';AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;")

Create a SQL Statement to Query Zoho Recruit

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

sql = "SELECT ,  FROM Attachments WHERE Module = 'Candidates'"

Extract, Transform, and Load the Zoho Recruit Data

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

Loading Zoho Recruit Data into a CSV File

table1 = etl.fromdb(cnxn,sql)

table2 = etl.sort(table1,'')

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

With the CData API Driver for Python, you can work with Zoho Recruit 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 Zoho Recruit 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\ZohoRecruit.apip;ProfileSettings='Domain=.com';AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;")

sql = "SELECT ,  FROM Attachments WHERE Module = 'Candidates'"

table1 = etl.fromdb(cnxn,sql)

table2 = etl.sort(table1,'')

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