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The CData API Server offers standards-based Web service endpoints that allow a variety of applications to access ServiceNow data. In this article, you will use the OData format to import ServiceNow data into Microsoft Power Query.
The API Server, when paired with the ADO.NET Provider for ServiceNow (or any of 200+ other ADO.NET Providers), enables you to use Web services to connect to and query ServiceNow data. This article details how to import an OData feed of ServiceNow data into Microsoft Power Query.
About ServiceNow Data Integration
CData simplifies access and integration of live ServiceNow data. Our customers leverage CData connectivity to:
- Get optimized performance since CData uses the REST API for data and the SOAP API for schema.
- Read, write, update, and delete ServiceNow objects like Schedules, Timelines, Questions, Syslogs and more.
- Use SQL stored procedures for actions like adding items to a cart, submitting orders, and downloading attachments.
- Securely authenticate with ServiceNow, including basic (username and password), OKTA, ADFS, OneLogin, and PingFederate authentication schemes.
Many users access live ServiceNow data from preferred analytics tools like Tableau, Power BI, and Excel, and use CData solutions to integrate ServiceNow data with their database or data warehouse.
Getting Started
Set Up the API Server
Follow the steps below to begin producing secure ServiceNow OData services:
Deploy
The API Server runs on your own server. On Windows, you can deploy using the stand-alone server or IIS. On a Java servlet container, drop in the API Server WAR file. See the help documentation for more information and how-tos.
The API Server is also easy to deploy on Microsoft Azure, Amazon EC2, and Heroku.
Connect to ServiceNow
After you deploy the API Server and the ADO.NET Provider for ServiceNow, provide authentication values and other connection properties needed to connect to ServiceNow by clicking Settings -> Connections and adding a new connection in the API Server administration console.
ServiceNow uses the OAuth 2.0 authentication standard. To authenticate using OAuth, register an OAuth app with ServiceNow to obtain the OAuthClientId and OAuthClientSecret connection properties. In addition to the OAuth values, specify the Instance, Username, and Password connection properties.
See the "Getting Started" chapter in the help documentation for a guide on connecting to ServiceNow.
You can then choose the ServiceNow entities you want to allow the API Server access to by clicking Settings -> Resources.
Authorize API Server Users
After determining the OData services you want to produce, authorize users by clicking Settings -> Users. The API Server uses authtoken-based authentication and supports the major authentication schemes. Access can also be restricted based on IP address; by default, only connections to the local machine are allowed. You can authenticate as well as encrypt connections with SSL.
Connect to ServiceNow Data from Power Query
Follow the steps below to import tables that can be refreshed on demand:
- Configure the API Server to use a version of the OData protocol that is recognized by Power Query. In the API Server administration console, click Settings -> Server and change the value of the Default Version property to 3.0.
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From the ribbon in Excel, click Power Query -> From Other Data Sources -> From OData Feed, and enter the OData URL:
https://your-server:8032/api.rsc
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In the next step of the wizard, define authentication credentials and set privacy levels. Select Basic authentication and enter the credentials for a user authorized to make requests. Specify the Username field and enter the user's authtoken in the Password field.
To change the authentication scheme that Power Query will use, click Power Query -> Data Source Settings. Select the OData feed from the list and then click Edit Credential. Select the privacy level from the menu on the Data Source Settings page.
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You can now access ServiceNow data in Power Query. In the Navigator expand the node for the OData feed, right-click a table, and click Edit to open the Query Editor. This will display the table data.