The Lyftron Provider for Pinterest offers the most natural way to access Pinterest data from Lyftron with ease and also enables to connect with BI, MDM & ML tools, Data warehouses, Databases and other SAAS based applications with zero code and zero infrastructure requirements. The provider wraps the complexity of accessing Pinterest data into easy-to-integrate relational fully managed ANSI Sql format. Make faster and better business decisions with Lyftron’s Pinterest data provider and automatically build your data migration pipelines in minutes, not months.
The provider hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.
- Comprehensive Delta load mechanism.
- Real-time access to Pinterest.
- Comprehensive full support of ANSI Sql to query data with ease.
- Collaborative query processing.
The user must have credentials for Pinterest, Lyftron and your destination data warehouse, lake or database to perform the data pipeline operation with Lyftron
Establishing a Connection with Lyftron's Quickstart Steps
Create your Pinterest connection with Lyftron by following the 5 easy steps show below:
Step1. Add your connection
Click on Connect section on the left panel → Click on Add Connection button
Step2. Select your connector
In the connector selection panel, search and click Pinterest for your connection
Step3. Enter your connection details
In the Connection String section enter the values of the below parameters. The following connection string is required to establish Pinterest connection with Lyftron."InitiateOAuth=GETANDREFRESH;OAuthClientId=YourClientId;OAuthClientSecret=YourClientSecret;CallbackURL='https://localhost:33333'"
|Connection Name||Enter your connection details||Required|
|InitiateOAuth||your Pinterest GETANDREFRESH||Required|
|OAuthClientId||your Pinterest ClientId||Required|
|OAuthClientSecret||your Pinterest ClientSecret||Required|
|Logfile**||Use the logfile option to debug your job and provide your connection name to generate the log file. [ConnectionConfigurationPath]\Connection_name_log.tx||Optional|
|Verbosity**||Choose verbosity 1-5 based on the severity of debugging||Optional|
** For more information, check the Lyftron logging and debugging section.
If you want more detailed information about how to establish a connection with Lyftron, click on Lyftron Connection Quick Start guide.
Step4. Test your connection
Once you are done entering your connection details, simply click on the Test Connection button to test the connectivity. In case your connection fails, add Logfile and Verbosity parameters and check the Lyftron logging and debugging section, to debug the error.
Step5. Save your connection
Views are composed of columns and pseudo columns. Views are similar to tables in the way that data is represented; however, views do not support updates. Entities that are represented as views are typically read-only entities. Often, a stored procedure is available to update the data if such functionality is applicable to the data source.
Queries can be executed against a view as if it were a normal table, and the data that comes back is similar in that regard. To find out more about tables and stored procedures, please navigate to their corresponding entries in this help document.
|Boards||Views||To fetch boards for any user.|
|Followers||Views||Returns the users who follow the authenticated user.|
|FollowingInterests||Views||Returns the topics that the authenticated user follows.|
|FollowingUsers||Views||Returns the users following by the authenticated user|
|Pins||Views||Get user pins.|
|Users||Views||Fetch users details.|