ETL Webflow in Oracle Data Integrator

Leverage existing skills by using the JDBC standard to connect to Webflow: Through drop-in integration into ETL tools like Oracle Data Integrator (ODI), the CData JDBC Driver for Webflow connects real-time Webflow data to your data warehouse, business intelligence, and Big Data technologies.

JDBC connectivity enables you to work with Webflow just as you would any other database in ODI. As with an RDBMS, you can use the driver to connect directly to the Webflow APIs in real time instead of working with flat files.

This article covers a JDBC-based ETL -- Webflow to Oracle. After reverse engineering a data model of Webflow entities, you will create a mapping and select a data loading strategy -- since the driver supports SQL-92, this last step can easily be accomplished by selecting the built-in SQL to SQL Loading Knowledge Module.

Install the Driver

To install the driver, copy the driver JAR (cdata.jdbc.api.jar) and .lic file (cdata.jdbc.api.lic), located in the installation folder, into the ODI appropriate directory:

• UNIX/Linux without Agent: ~/.odi/oracledi/userlib
• UNIX/Linux with Agent: ~/.odi/oracledi/userlib and $ODI_HOME/odi/agent/lib
• Windows without Agent: %APPDATA%\Roaming\odi\oracledi\userlib
• Windows with Agent: %APPDATA%\odi\oracledi\userlib and %APPDATA%\odi\agent\lib

Restart ODI to complete the installation.

Reverse Engineer a Model

Reverse engineering the model retrieves metadata about the driver's relational view of Webflow data. After reverse engineering, you can query real-time Webflow data and create mappings based on Webflow tables.

1. In ODI, connect to your repository and click New -> Model and Topology Objects.
2. On the Model screen of the resulting dialog, enter the following information:
   • Name: Enter API.
   • Technology: Select Generic SQL (for ODI Version 12.2+, select Microsoft SQL Server).
   • Logical Schema: Enter API.
   • Context: Select Global.
   
3. On the Data Server screen of the resulting dialog, enter the following information:
   • Name: Enter API.
   • Driver List: Select Oracle JDBC Driver.
   • Driver: Enter cdata.jdbc.api.APIDriver
   • URL: Enter the JDBC URL containing the connection string.

     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.

     

     Below is a typical connection string:

     jdbc:api:Profile=C:\profiles\Webflow.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;
     

   
4. On the Physical Schema screen, enter the following information:
   • Name: Select from the Drop Down menu.
   • Database (Catalog): Enter CData.
   • Owner (Schema): If you select a Schema for Webflow, enter the Schema selected, otherwise enter API.
   • Database (Work Catalog): Enter CData.
   • Owner (Work Schema): If you select a Schema for Webflow, enter the Schema selected, otherwise enter API.
   
5. In the opened model click Reverse Engineer to retrieve the metadata for Webflow tables.

Edit and Save Webflow Data

After reverse engineering you can now work with Webflow data in ODI. To view Webflow data, expand the Models accordion in the Designer navigator, right-click a table, and click View data.

Create an ETL Project

Follow the steps below to create an ETL from Webflow. You will load Sites entities into the sample data warehouse included in the ODI Getting Started VM.

1. Open SQL Developer and connect to your Oracle database. Right-click the node for your database in the Connections pane and click new SQL Worksheet.

   Alternatively you can use SQLPlus. From a command prompt enter the following:

   sqlplus / as sysdba
   

2. Enter the following query to create a new target table in the sample data warehouse, which is in the ODI_DEMO schema. The following query defines a few columns that match the Sites table in Webflow:

   CREATE TABLE ODI_DEMO.TRG_SITES ( NUMBER(20,0), VARCHAR2(255));
   

3. In ODI expand the Models accordion in the Designer navigator and double-click the Sales Administration node in the ODI_DEMO folder. The model is opened in the Model Editor.
4. Click Reverse Engineer. The TRG_SITES table is added to the model.
5. Right-click the Mappings node in your project and click New Mapping. Enter a name for the mapping and clear the Create Empty Dataset option. The Mapping Editor is displayed.
6. Drag the TRG_SITES table from the Sales Administration model onto the mapping.
7. Drag the Sites table from the Webflow model onto the mapping.
8. Click the source connector point and drag to the target connector point. The Attribute Matching dialog is displayed. For this example, use the default options. The target expressions are then displayed in the properties for the target columns.
9. Open the Physical tab of the Mapping Editor and click SITES_AP in TARGET_GROUP.
10. In the SITES_AP properties, select LKM SQL to SQL (Built-In) on the Loading Knowledge Module tab.

You can then run the mapping to load Webflow data into Oracle.