Connect Shoppy and RSS Feed to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Product Is Created
runs when New Product Is Created
New Item in Feed
Triggers when a new item is added to the feed.
New Items in Multiple Feeds
Triggers when there is a new item in any of the feeds being watched.
Do thisActions
Action is the task that follows automatically within your Shoppy integrations.
Create product
Create a new product.
Update Product
Update product details
Delete Product
Delete a product from your store.
Retrieve RSS feed items
Retrieves RSS feed items from a specified URL.
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Frequently Asked Questions
To start, connect both your Shoppy and RSS Feed accounts to viaSocket. Once connected, you can set up a workflow where an event in Shoppy triggers actions in RSS Feed (or vice versa).
Absolutely. You can customize how Shoppy data is recorded in RSS Feed. This includes choosing which data fields go into which fields of RSS Feed, setting up custom formats, and filtering out unwanted information.
The data sync between Shoppy and RSS Feed 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 Shoppy and RSS Feed. 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.
About Shoppy
Shoppy is a versatile eCommerce platform that enables users to create and manage online stores with ease. It offers a range of features for product management, payment processing, and customer engagement, making it ideal for businesses looking to expand their online presence.
Learn MoreAbout RSS Feed
RSS allows website owners to send out notifications when new information is added to their site. Newscasts, blog articles, weather forecasts, and podcasts are all examples of this type of information
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