About HubSpot connector
Etlworks HubSpot connector allows fast, real-time access to HubSpot data. The connector supports most of the objects available through the HubSpot API and works like any other database connector.
Etlworks partnered with CData to provide access to the HubSpot API using industry-standard JDBC protocol. Read about the CData HubSpot JDBC connector.
When to use HubSpot connector
Use this connector to create Flows that work with data in HubSpot.
Enable HubSpot connector for your Etlworks Integrator account. Contact
email@example.com to enable the connector.
Create a Connection
Step 1. In the
Connections window, click
+, and type in
hubspot. After which, select
Step 2. Optionally select
OAuth scopes. The default scope
contacts is always selected.
Step 3. Authorize the HubSpot app to access your HubSpot data.
Step 4. Test and save the Connection.
Other parameters to specify the Connection string options. Read about available Connection string options.
HubSpot data model
Our connector models HubSpot entities as relational Tables, Views, and Stored Procedures.
Read about the HubSpot data model.
Stored procedures are available to complement the data available from the Data Model. It may be necessary to update data available from a view using a stored procedure because the data does not provide for direct, table-like, two-way updates. In these situations, the data retrieval is done using the appropriate view or table, while the update is done by calling a stored procedure. Stored procedures take a list of parameters and return back a dataset containing the collection of tuples that constitute the response.
Read about available stored procedures.
To call stored procure from the SQL Flow or from Before/After SQL, use
EXEC sp_name params=value syntax. Example:
EXEC GetOAuthAccessToken scope = 'events-rw settings-rw contacts-rw offline'
Work with data in Hubspot
Extract data from HubSpot
Extracting data from HubSpot is similar to extracting data from the relational database.
Step 1. Create a HubSpot Connection that will be used as a source (
Step 3. Create a Flow where the source is a database, and the destination is a Connection created in step 2, for example, a relational database.
Step 4. Add a new source-to-destination transformation.
Step 5. Select HubSpot Connection created in step 1 as a source Connection and select the HubSpot object you are extracting data from:
Step 6. Select
TO Connection, Format (if needed), and object (for example, database table) to load data into.
Step 7. Click
MAPPING and optionally enter
Source Query (you don't need a query if you are extracting data from the HubSpot object unconditionally).
Step 8. Optionally define the per-field Mapping.
Step 9. Add more transformations if needed.
Load data in HubSpot
Loading data in HubSpot is similar to loading data into a relational database.
Step 1. Create a source Connection and a Format (if needed).
Step 2. Create a destination HubSpot Connection.
Step 3. Create a Flow where the destination is a database.
Step 4. Add new source-to-destination transformation.
Step 5. Select
TO Connections and objects (also a
FROM Format if needed).
Step 6. Optionally define the per-field mapping.
Step 7. Add more transformations if needed.
Browse data in HubSpot
You must have a HubSpot Connection to browse objects and run SQL queries.
Use Etlworks Explorer to browse data and metadata in HubSpot and execute
SELECT queries against a HubSpot Connection.