Connect Google Merchant and Redis to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Merchant
Choose an Action
Automatically do this!
- Request a new Action for Redis
Enable Integrations or automations with these events of Google Merchant and Redis
Enable Integrations or automations with these events of Google Merchant and Redis
Actions
Delete Product
Deletes a product from your Google Merchant Center account.
Add Product To Google Merchant
Adds a product to your Google Merchant account so customers can find it on Google Shopping.
List Products
Get the products in the selected Merchant Center account.
Update Product
Update an existing product’s details in your Google Merchant account so the listing shows the latest information.
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Frequently Asked Questions
To start, connect both your Google Merchant and Redis accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Merchant triggers actions in Redis (or vice versa).
Absolutely. You can customize how Google Merchant data is recorded in Redis. This includes choosing which data fields go into which fields of Redis, setting up custom formats, and filtering out unwanted information.
The data sync between Google Merchant and Redis 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 Google Merchant and Redis. 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 Google Merchant
Google Merchant helps businesses manage their product listings and reach more customers through Google Shopping. It allows you to upload and maintain product information, ensuring your products are visible to potential buyers.
Learn MoreAbout Redis
Redis is an open-source, in-memory data structure store, used as a database, cache, and message broker. It supports various data structures such as strings, hashes, lists, sets, and more, making it highly versatile for developers looking to build high-performance applications.
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