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You can use the CData API Driver for ODBC to integrate live data into your statistical analysis with SAS JMP. The driver proxies your queries directly to the Scrapfly API, ensuring that your analysis reflects any changes to the data. The CData ODBC Driver supports the standard SQL used by JMP in the background as you design reports.
This article shows how to access Scrapfly data into a report and create data visualization. It also shows how to use SQL to query Scrapfly data from the JMP Query Builder.
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.
Your Scrapfly API key is required to create a connection. To obtain your API key:
After obtaining your API key, set the following connection properties:
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 you have created the Scrapfly DSN, you can use SQL to invoke the capabilities of the Scrapfly API. Follow the steps below to execute some supported queries in the Query Builder:
After importing, you can use the Graph Builder to create graphs visually. To open the Graph Builder, click the Graph Builder button in the toolbar.
Connect to live data from Scrapfly with the API Driver
Connect to Scrapfly