
When this happens...
new product is added

Automatically do this!
Create a Container Registry
Create a Template
Find a Container Registry Auth
Delete a Container Registry Auth
Delete a Template
Create Registry Authentication
When this happensTriggers
A trigger is an event that starts a workflow.
runs when new product is added
Action is the task that follows automatically within your ShopBase integrations.
Create a new product with title, images, options, and variants.
Create a product variant with option values, price, SKU, and image.
Upload an image to a product and optionally set it as the main image.
Update a product's title and add one or more images.
Create a new container registry auth
Create a new template.

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To start, connect both your ShopBase and RunPod accounts to viaSocket. Once connected, you can set up a workflow where an event in ShopBase triggers actions in RunPod (or vice versa).
Absolutely. You can customize how ShopBase data is recorded in RunPod. This includes choosing which data fields go into which fields of RunPod, setting up custom formats, and filtering out unwanted information.
The data sync between ShopBase and RunPod typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between ShopBase and RunPod. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
ShopBase is a comprehensive eCommerce platform designed to help businesses create and manage online stores with ease. It offers a range of tools for product management, order processing, and customer engagement, making it ideal for entrepreneurs and small to medium-sized businesses looking to establish a strong online presence.
Learn MoreRunPod is a platform that provides cloud-based computing resources for running and managing machine learning models, data processing tasks, and other computational workloads. It offers scalable and efficient solutions for developers and data scientists to deploy and execute their projects seamlessly.
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