Build Data Flows from Browse AI to SQL Server using SSIS

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Easily back up Browse AI data to SQL Server using the SSIS components for Browse AI.

Using SQL Server as a backup for critical business data provides an essential safety net against loss. Backing up data to SQL Server enables business users to more easily connect that data with features like reporting, analytics, and more.

This example demonstrates how to use the CData SSIS Tasks for Browse AI inside of a SQL Server SSIS workflow to transfer Browse AI data into a Microsoft SQL Server database.

Add the Components

To get started, add a new Browse AI source and SQL Server ADO.NET destination to a new data flow task.

The Data Flow task used in this example. (Salesforce is shown.)

Create a New Connection Manager

Follow the steps below to save Browse AI connection properties in a connection manager.

  1. In the Connection Manager window, right-click and then click New Connection. The Add SSIS Connection Manager dialog is displayed.
  2. In the Connection Manager type menu, select API. The CData Browse AI Connection Manager is displayed.
  3. Configure connection properties.

    Start by setting the Profile connection property to the location of the BrowseAI Profile on disk (e.g. C:\profiles\BrowseAI.apip). Next, set the ProfileSettings connection property to the connection string for BrowseAI (see below).

    BrowseAI API Profile Settings

    BrowseAI is a web scraping and automation platform that allows you to train robots to extract and monitor data from websites. Authentication is performed using an API key that is sent as a Bearer token in the Authorization header.

    The BrowseAI API key has the format {userId}:{apiKey}, where both parts are UUIDs separated by a colon. This full string is provided as a single value in the BrowseAI dashboard.

    To obtain your API key:

    1. Log in to your BrowseAI account at https://app.browse.ai
    2. Navigate to Settings in the dashboard
    3. Locate the API section
    4. Copy the full API key string displayed (format: userId:apiKey)

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

    • AuthScheme: Set this to APIKey.

    Set the following in the ProfileSettings connection property:

    • APIKey: Set this to your BrowseAI API key (format: userId:apiKey).
    Configuring a connection (Salesforce is shown).

Configure the Browse AI Source

Follow the steps below to specify the query to be used to extract Browse AI data.

  1. Double-click the Browse AI source to open the source component editor.
  2. In the Connection Manager menu, select the connection manager previously created.
  3. Specify the query to use for the data extraction. For example:
    
    SELECT Id, Status FROM RobotTasks WHERE RobotId = 'your-robot-id'
    
    The SQL query to retrieve records. (Salesforce is shown.)
  4. Close the Browse AI Source control and connect it to the ADO.NET Destination.

Configure the SQL Server Destination

Follow the steps below to specify the SQL server table to load the Browse AI data into.

  1. Open the ADO.NET Destination and add a New Connection. Enter your server and database information here.
  2. In the Data access mode menu, select "table or view".
  3. In the Table Or View menu, select the table or view to populate.
  4. Configure any properties you wish to on the Mappings screen. The mappings from the SSIS source component to SQL Server. (Salesforce is shown.)

Run the Project

You can now run the project. After the SSIS Task has finished executing, your database will be populated with Browse AI data.

The completed import. (Salesforce is shown.)

Ready to get started?

Connect to live data from Browse AI with the API Driver

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