Python Hubspot API Connector In this article you will learn, how to integrate Hubspot data to Python without coding in few clicks (Live / Bi-directional connection to Hubspot). Hubpost Connector can be used to integrate Hubspot and your data source, e.g. Microsoft SQL Server, Oracle, Excel, Power BI, etc. Get, write, delete Hubspot data in a few clicks! Using Hubspot API Connector you will be able to connect, read and write data from within Python. Let's take a look at the steps below to see how exactly to accomplish that. Download  Help File  Buy  Driver mentioned in this article 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 connection 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 with ODBC and ZappySys ODBC PowerPack then check below links to get started. ODBC PowerPack - System Requirements and Installation Getting Started - Using ODBC PowerPack ODBC API Driver Help File

See also Connect Hubspot in SSIS Connect Hubspot in SQL Server Connect Hubspot in Power BI Connect Hubspot in SSRS Connect Hubspot in Informatica Connect Hubspot in MS Access Connect Hubspot in MS Excel Connect Hubspot in SSAS Connect Hubspot in C# Connect Hubspot in JAVA Connect Hubspot in Tableau Connect Hubspot in SAP Crystal Reports Connect Hubspot in ODBC

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

To get data from Hubspot using Python we first need to create a DSN - Data Source - which will access data from Hubspot, which later will be able to get 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 API Driver:

   

   You should create System DSN if client application is launched under Windows System Account, e.g. as a Windows Service.
   Launch ODBC Data Sources 32-bit version in case your client application is a 32-bit (x86) application (required only for System DSN).

4. When a window appears, firstly give your data source a name if you haven't done that already, then select "Hubspot" from the list of Popular Connectors. If "Hubspot" is not present in the list, then click "Search Online" and download it. Then set the path to the one where you downloaded it. Finally, hit Continue >> button to continue configuring DSN:

   HubspotDSN

   Hubspot

   

5. Another window appears and it's time to configure the Connection Manager. Firstly, select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases default one is the right one). More info is available in Authentication section.

   Steps to get Hubspot Credentials
   

   Just follow this link on how to create an API app: https://developers.hubspot.com/docs/api/creating-an-app

   API Reference (External Site)

   And finally, fill in all the required parameters and set optional parameters if needed.:

   HubspotDSN

   Hubspot

   User Credentials [OAuth]

   https://api.hubapi.com

   Required Parameters
   UseCustomApp	Fill in the parameter...
   Scope	Fill in the parameter...
   Optional Parameters
   Client ID	Fill in the parameter...
   Client Secret	Fill in the parameter...
   ReturnUrl	Fill in the parameter...

   

6. Once you configured a data source, you can preview data. Hit Preview tab, and use similar settings to preview data:
   

7. Click OK to finish creating the data source

Read data in Python from the DSN

1. Python code to get the data:
   

   HubspotDSN')

   

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=HubspotDSN')
   
   cursor = conn.cursor() 
   
   #execute query to fetch data from API service
   cursor.execute("SELECT * FROM $") 
   row = cursor.fetchone() 
   while row: 
   print (row[1]) 
   row = cursor.fetchone()
   

4. If you want to avoid to be dependent on a DSN name 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 . Then in your Python code use Connection String when initializing OdbcConnection object, for example:

   conn = pyodbc.connect('DRIVER={ZappySys API Driver};ServiceUrl=https://services.odata.org/V3/Northwind/Northwind.svc;Provider=OData;AuthName=Http;')

Create Custom Store Procedure in ZappySys Driver

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Store Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
   

2. Enter the desired Procedure name and click on OK:
   

3. Select the created Store Procedure and write the your desired store procedure and Save it and it will create the custom store procedure in the ZappySys Driver:
   Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
   

   CREATE PROCEDURE [usp_get_orders]
   @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
   AS
   SELECT * FROM Orders where OrderDate >= '<@fromdate>'
   
   

4. That's it now go to Preview Tab and Execute your Store Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:
   

   Exec usp_get_orders '1996-01-01'
   
   

Create Custom Virtual Table in ZappySys Driver

ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you dont have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
   

2. Enter the desired Table name and click on OK:
   

3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

4. Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
   Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here
   

   SELECT
   "ShipCountry",
   "OrderID",
   "CustomerID",
   "EmployeeID",
   "OrderDate",
   "RequiredDate",
   "ShippedDate",
   "ShipVia",
   "Freight",
   "ShipName",
   "ShipAddress",
   "ShipCity",
   "ShipRegion",
   "ShipPostalCode"
   FROM "Orders"
   Where "ShipCountry"='USA'
   
   
   

5. That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:
   

   SELECT * FROM "vt__usa_orders_only"
   
   

Conclusion

In this article we discussed how to connect to Hubspot in Python and integrate data without any coding. Click here to Download Hubspot 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).

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