to_csv ( 'Calls.csv', index = False, encoding = 'utf-8' )įormattedCost = '$'. DataFrame ( d, columns = ( 'From', 'To', 'Start Time', 'Call SID', 'Price', 'Call Direction', 'Answered By', 'Call Status' ) )ĭf. rest import Client as signalwire_clientĬlient = signalwire_client ( 'ProjectID', 'AuthToken', signalwire_space_url = '' )Ĭalls = client. Pandas for creating data frames and making it easier to manage large quantities of data.įull code example: Using the List Calls API to Get Voice Statisticsįrom signalwire.DateTime for creating an ability to filter by a specific time frame.You will need to have a few different Python Packages installed as well to achieve this. All of this information can be found under the API tab of your SignalWire Space, however, you can find more information on where to look here. Once installed, you will also need your SignalWire API credentials, including an API Token, SignalWire Space URL, and a Project ID. What do I need to run this code? Īs we will be using Python for this script, you will need to install the SignalWire Python SDK. While this snippet will provide you with a lot of information, it can easily be manipulated to discover more! Take a look at our API Documentation to find out more.

Whether the call was answered by a human or an answering machine.

After running this script, you gain both itemized and bird's eye views on all of the details of your voice usage, including:

In this snippet, we will show you how to use SignalWire's List Calls API to gain valuable insight into your usage of voice on SignalWire's platform.

Signalwire api