Build Webflow-Connected ETL Processes in Google Data Fusion

Google Data Fusion allows users to perform self-service data integration to consolidate disparate data. Uploading the CData API Driver for JDBC enables users to access live Webflow data from within their Google Data Fusion pipelines. While the CData JDBC Driver enables piping Webflow data to any data source natively supported in Google Data Fusion, this article explains how to pipe data from Webflow to Google BigQuery,

Upload the CData API Driver for JDBC to Google Data Fusion

Upload the CData API Driver for JDBC to your Google Data Fusion instance to work with live Webflow data. Due to the naming restrictions for JDBC drivers in Google Data Fusion, create a copy or rename the JAR file to match the following format driver-version.jar. For example: cdataapi-2020.jar

1. Open your Google Data Fusion instance
2. Click the to add an entity and upload a driver
3. On the "Upload driver" tab, drag or browse to the renamed JAR file.
4. On the "Driver configuration" tab:
   • Name: Create a name for the driver (cdata.jdbc.api) and make note of the name
   • Class name: Set the JDBC class name: (cdata.jdbc.api.APIDriver)
   
5. Click "Finish"

Connect to Webflow Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Webflow data in Google Data Fusion Pipelines.

1. Navigate to the Pipeline Studio to create a new Pipeline
2. From the "Source" options, click "Database" to add a source for the JDBC Driver
3. Click "Properties" on the Database source to edit the properties

   NOTE: To use the JDBC Driver in Google Data Fusion, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.

   • Set the Label
   • Set Reference Name to a value for any future references (i.e.: cdata-api)
   • Set Plugin Type to "jdbc"
   • Set Connection String to the JDBC URL for Webflow. For example:
     
     jdbc:api:RTK=5246...;Profile=C:\profiles\Webflow.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;

     Authentication

     Webflow uses OAuth 2.0 authentication to ensure secure access to sites, CMS collections, e-commerce data, and other resources. This authentication method allows you to securely connect to your Webflow workspace and manage resources with proper authorization.

     OAuth 2.0 Setup and Configuration

     Step 1: Create a Webflow OAuth Application

     To set up OAuth authentication:

     1. Visit the Webflow Developer Portal
     2. Navigate to "Apps & Integrations" in your Webflow account
     3. Click "Register an App" to create a new OAuth application
     4. Configure the application name, description, and redirect URI (CallbackURL)
     5. Copy the Client ID and Client Secret for use in your connection

     Required Connection Properties

     • AuthScheme: Set this to OAuth (required)
     • OAuthClientId: Client ID from your Webflow OAuth application (required)
     • OAuthClientSecret: Client secret from your Webflow OAuth application (required)
     • CallbackURL: Redirect URI specified in your OAuth application (required)
     • InitiateOAuth: Set to GETANDREFRESH for automatic token management (recommended)

     Required OAuth Scopes

     The Webflow API Profile requires the following OAuth scopes:

     • sites:read - Read access to site information and configuration
     • pages:read - Read access to site pages
     • cms:read - Read access to CMS collections and items
     • forms:read - Read access to forms and form submissions
     • assets:read - Read access to media assets and folders
     • ecommerce:read - Read access to products, orders, and inventory
     • authorized_user:read - Read access to the authorized user

     Built-in Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the Webflow JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

           java -jar cdata.jdbc.api.jar
           

     Fill in the connection properties and copy the connection string to the clipboard.

     
   • Set Import Query to a SQL query that will extract the data you want from Webflow, i.e.:
     SELECT * FROM Sites
   
4. From the "Sink" tab, click to add a destination sink (we use Google BigQuery in this example)
5. Click "Properties" on the BigQuery sink to edit the properties
   • Set the Label
   • Set Reference Name to a value like api-bigquery
   • Set Project ID to a specific Google BigQuery Project ID (or leave as the default, "auto-detect")
   • Set Dataset to a specific Google BigQuery dataset
   • Set Table to the name of the table you wish to insert Webflow data into
   

With the Source and Sink configured, you are ready to pipe Webflow data into Google BigQuery. Save and deploy the pipeline. When you run the pipeline, Google Data Fusion will request live data from Webflow and import it into Google BigQuery.

While this is a simple pipeline, you can create more complex Webflow pipelines with transforms, analytics, conditions, and more. Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Webflow data in Google Data Fusion today.