Create Datasets from Scrapfly in Domo Workbench and Build Visualizations of Scrapfly Data in Domo

Domo helps you manage, analyze, and share data across your entire organization, enabling decision makers to identify and act on strategic opportunities. Domo Workbench provides a secure, client-side solution for uploading your on-premise data to Domo. The CData ODBC Driver for Scrapfly links Domo Workbench to operational Scrapfly data. You can build datasets from Scrapfly data using standard SQL queries in Workbench and then create real-time visualizations of Scrapfly data in the Domo service.

The CData ODBC Drivers offer unmatched performance for interacting with live Scrapfly data in Domo due to optimized data processing built into the driver. When you issue complex SQL queries from Domo to Scrapfly, the driver pushes supported SQL operations, like filters and aggregations, directly to Scrapfly and utilizes the embedded SQL Engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Scrapfly data using native Domo data types.

Connect to Scrapfly as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

The Scrapfly API uses API Key authentication. The API key is passed as the key query parameter on every request.

Using API Key Authentication

Your Scrapfly API key is required to create a connection. To obtain your API key:

1. Log into your Scrapfly account at scrapfly.io.
2. Navigate to Dashboard and select API Keys.
3. Copy your API key (begins with scp-live- for production or scp-test- for the test environment).

After obtaining your API key, set the following connection properties:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your Scrapfly API key.

Example connection string:

Profile=C:\profiles\Scrapfly.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key';

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

After creating a DSN, you will need to create a dataset for Scrapfly in Domo Workbench using the Scrapfly DSN and build a visualization in the Domo service based on the dataset.

Build a Dataset for Scrapfly Data

You can follow the steps below to build a dataset based on a table in Scrapfly in Domo Workbench using the CData ODBC Driver for Scrapfly.

1. Open Domo Workbench and, if you have not already, add your Domo service server to Workbench. In the Accounts submenu, click Add New, type in the server address (i.e., domain.domo.com) and click through the wizard to authenticate. 👁 Connecting to the Domo Service.
   
2. In the DataSet Jobs submenu, click Add New.
3. Name the dataset job (i.e., ODBC Scrapfly Account), select ODBC Connection Provider as the transport method, and click through the wizard. 👁 Configuring the DataSet Job.
   
4. In the newly created DataSet Job, navigate to Source and click to configure the settings.
5. Select System DSN for the Connection Type.
6. Select the previously configured DSN (CData API Sys) for the System DSN.
7. Click to validate the configuration. 👁 Configuring the Source Settings.
   
8. Below the settings, set the Query to a SQL query:

   SELECT * FROM Account

   NOTE: By connecting to Scrapfly data using an ODBC driver, you simply need to know SQL in order to get your data, circumventing the need to know Scrapfly-specific APIs or protocols.
9. Click preview. 👁 Querying Scrapfly Data.
   
10. Check over the generated schema, add any transformations, then save and run the dataset job. 👁 Save and Run the Configured DataSet Job (Salesforce is shown).
    

With the dataset job run, the dataset will be accessible from the Domo service, allowing you to build visualizations, reports, and more based on Scrapfly data.

Create Data Visualizations

With the DataSet Job saved and run in Domo Workbench, we are ready to build visualizations of the Scrapfly data in the Domo service.

1. Navigate to the Data Center. 👁 Accessing the Data Center (Salesforce is shown).
   
2. In the data warehouse, select the ODBC data source and drill down to our new dataset. 👁 Selecting the Scrapfly Dataset (Salesforce is shown).
   
3. With the dataset selected, choose to create a visualization.
4. In the new card:
   • Drag a Dimension to the X Value.
   • Drag a Measure to the Y Value.
   • Choose a Visualization.
   👁 Visualizing Scrapfly Data in Domo (Salesforce is shown).
   

With the CData ODBC Driver for Scrapfly, you can build custom datasets based on Scrapfly data using only SQL in Domo Workbench and then build and share visualizations and reports through the Domo service.