Is it possible to use Azure Data Factory to get data from a REST API and insert it to a Azure database table?
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This can be achieved with Data Factory. Data Factory is useful if you want to run batches on a schedule and have a single place for monitoring and management. There is sample code in our GitHub repo for an http loader to blob here https://github.com/Azure/Azure-DataFactory. Then the blob can be consumed for other processing, like putting it into your table. To do this, you would create a pipeline that contains your custom loader, then an activity with blob as the input dataset and table as the output dataset.
There is now support for REST as a data source in Azure Data Factory, including pagination
Short answer: Yes :)
Long answer (Tutorial basically): https://azure.microsoft.com/en-us/documentation/articles/data-factory-get-started/
https://github.com/Azure/Azure-DataFactory/tree/master/Samples/HttpDataDownloaderSample
Hi this is a custom data activity that dowloads a file by http request. You can achieve what you desire making small changes. Hope it helps.
I have done this using Custom .Net Activities. I had a need to pull data from Salesforce API. I have a write up on how to do this here: http://eatcodelive.com/2016/02/06/accessing-azure-data-lake-store-from-an-azure-data-factory-custom-net-activity/ it is utilizing the data lake store but you can store the data anywhere.
Also have a look here for an example from microsoft: https://azure.microsoft.com/en-us/documentation/articles/data-factory-use-custom-activities/
Hope that helps.
Data factory offers a generic HTTP connector and a specific REST connector, allowing you to do retrieve data from HTTP endpoints by using GET or POST methods.
Example: HTTP Linked Service