Create PayPal-Connected Business Apps in AppSheet

Google AppSheet is a no-code development platform for application software, enabling users to design mobile, tablet, and web applications. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to PayPal data for business applications. This article outlines the process of connecting to PayPal using Connect AI and constructing a basic app from PayPal data within AppSheet.

CData Connect AI offers a dedicated cloud-to-cloud interface for PayPal, enabling the creation of reports directly from live PayPal data within AppSheet, all without the need for data replication to a native database. When you design applications that interact with data, AppSheet formulates SQL queries to retrieve the required information. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to PayPal. This leverages server-side processing to swiftly deliver the requested PayPal data.

Configure PayPal Connectivity for AppSheet

Connectivity to PayPal from AppSheet is made possible through CData Connect AI. To work with PayPal data from AppSheet, we start by creating and configuring a PayPal connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "PayPal" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to PayPal.

   The provider surfaces tables from two PayPal APIs. The APIs use different authentication methods.

   • The REST API uses the OAuth standard. To authenticate to the REST API, set the OAuthClientId, OAuthClientSecret, and CallbackURL properties.
   • The Classic API requires Signature API credentials. To authenticate to the Classic API, obtain an API username, password, and signature.

   See the "Getting Started" chapter of the help documentation for a guide to obtaining the necessary API credentials.

   To select the API you want to work with, you can set the Schema property to REST or SOAP. By default the SOAP schema will be used.

   For testing purposes you can set UseSandbox to true and use sandbox credentials.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add PayPal Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to PayPal data from AppSheet.

Connect to PayPal from AppSheet

The steps below outline connecting to CData Connect AI from AppSheet to create a new PayPal data source.

1. Log into AppSheet
2. Click "My account" in the menu
3. Click the Sources tab and add a new data source 👁 Creating a new data source
   
4. Select Cloud Database and set the connection information
   • Type: Sql Server
   • Server: tds.cdata.com,14333
   • Database: the PayPal connection, for example, PayPal1
   • Username: a Connect AI user, for example, [email protected]
   • Password: the PAT for the above Connect AI user
   • SSL: Require SSL
   👁 Connecting to Connect AI
   
5. Click "Test Connection"
6. Click "Authorize Access"

Create an App

Once you create the data source for PayPal, you can start building apps on PayPal data. Start by clicking "My apps" in the menu.

1. Click to create a new app and select "Start with your own data"
2. Name the app and select an appropriate category, based on your data
3. Select the newly created data source
4. Select the table or view with the data you want 👁 Selecting a table
   

At this point, you can configure the design of your app, selecting which columns from the selected table to display, use as labels, and more. Preview the app in the preview panel and then publish or share it when ready.

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!