Salesforce Connector for Python In this article you will learn how to integrate Salesforce data in Python (live / bi-directional connection to Salesforce). Salesforce Connector can be used to extract/load large amount of data from/in Salesforce.com without any programming. You can use simple Table mode or Query mode with full SOQL query language support (SOQL=Salesforce.com Object Query Language).. Using Salesforce Connector you will be able to connect, read, and write data from within Python. Follow the steps below to see how we would accomplish that. Download Documentation The driver mentioned above is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connections and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc. If you are new to ODBC and ZappySys ODBC PowerPack then check the following links to get started. ODBC PowerPack - System Requirements and Installation Getting Started - Using ODBC PowerPack ODBC API Driver Help File

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Create ODBC Data Source (DSN) based on ZappySys Salesforce Driver

Step-by-step instructions

To get data from Salesforce using Python we first need to create a DSN (Data Source) which will access data from Salesforce. We will later be able to read data using Python. Perform these steps:

1. Install ZappySys ODBC PowerPack.

2. Open ODBC Data Sources (x64):
   

3. Create a User Data Source (User DSN) based on ZappySys Salesforce Driver

   ZappySys Salesforce Driver

   
   You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version.

4. Now, we need SalesForce Connection. Lets create it.

5. Now, When you see DSN Config Editor with zappysys logo first thing you need to do is change default DSN Name at the top and Click on Preview Tab, Select Table from Tables Dropdown or you can enter or modify a SOQL query and click on Preview Data.
   This example shows how to write simple SOQL query (Salesforce Object Query Language). It uses WHERE clause. For more SOQL Queries click here.
   SOQL is similar to database SQL query language but much simpler and many features you use in database query may not be supported in SOQL (Such as JOIN clause not supported). But you can use following Queries for Insert, Update, Delete and Upsert(Update or Insert record if not found).

   SELECT * FROM Account WHERE Name like '%Oil%'
   

6. Click OK to finish creating the data source

Video instructions

Read data in Python

Using ODBC DSN

1. Python code to get the data:
   

   SalesforceDSN')

   

2. When you run the code it will make the API call and read the data:
   

3. Here is Python program's code in text format:

   
       import pyodbc
       conn = pyodbc.connect('DSN=SalesforceDSN')
   
       cursor = conn.cursor()
   
       #execute query to fetch data from API service
       cursor.execute("SELECT id,title FROM products")
   
       row = cursor.fetchone()
       while row:
           print(row)
           row = cursor.fetchone()
   
       ##For loop example
       #for row in cursor:
       #    print(row)
   

Using a full ODBC connection string

If you want to avoid being dependent on a DSN and creating multiple DSNs for each platform (x86, x64), then you can use a fully qualified connection string. Simply go to your DSN and copy the Connection String:

1. Open ODBC data source configuration and click Copy settings:
   

   ZappySys Salesforce Driver - Salesforce

   Salesforce Connector can be used to extract/load large amount of data from/in Salesforce.com without any programming. You can use simple Table mode or Query mode with full SOQL query language support (SOQL=Salesforce.com Object Query Language).

   SalesforceDSN

   
2. The window opens, telling us the connection string was successfully copied to the clipboard:

3. Then in your Python code use Connection String when initializing OdbcConnection object, for example:

   conn = pyodbc.connect('DRIVER={ZappySys Salesforce Driver};ServiceUrl=https://yourservices.provider.com/api/xxxx....;AuthName=Http;')

How to install `pyodbc` in the Python?

Conclusion

In this article we discussed how to connect to Salesforce in Python and integrate data without any coding. Click here to Download Salesforce Connector for Python and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download Salesforce Connector for Python Documentation 

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Download Salesforce Connector for Python Documentation

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