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devart-zohocrm-connector
Advanced tools
Python Connector for Zoho CRM is a connectivity solution for accessing Zoho CRM from Python applications to read and update data. It fully implements the Python DB API 2.0 specification. The connector is distributed as a wheel package for Windows and Windows Server.
Standard SQL syntax
The connector fully supports the ANSI SQL standard and lets you execute SQL statements against your Zoho CRM data just like you would normally work with relational databases. Simple queries are directly converted to Zoho CRM API calls and executed on the Zoho CRM side. Complex queries are transformed into simpler queries, which are then converted to Zoho CRM API calls. The embedded SQL engine then processes the results in the local cache and applies advanced SQL features from the original complex query.
To retrieve data from a database:
Import the module.
import devart.zohocrm
Connect to a database using the connect()
module method and obtain a connection
object:
If you have a refresh token:
my_connection = devart.zohocrm.connect(
Domain="your_zoho_domain",
RefreshToken="your_refresh_token"
)
If you don't have a refresh token:
response = devart.zohocrm.signin(Domain="your_zoho_domain")
my_connection = devart.zohocrm.connect(
Domain="your_zoho_domain",
RefreshToken=response["Refresh Token"]
)
Create a cursor
object using the cursor()
connection method.
my_cursor = my_connection.cursor()
Execute the SQL statement using the execute()
cursor method.
my_cursor.execute("SELECT * FROM employees")
Retrieve the result set using one of the fetch*()
cursor methods.
for row in my_cursor.fetchall():
print(row)
You can purchase a license for the connector on the ordering page:
https://www.devart.com/python/zohocrm/ordering.html
To activate the license, follow the instructions in the documentation:
https://docs.devart.com/python/zohocrm/activate-a-license.htm
Python Connector for Zoho CRM 1.2
FAQs
New level of functionality and performance in data access via Python
We found that devart-zohocrm-connector demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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