Connect Shippo and Fivetran to Build Intelligent Automations
Choose a Trigger
When this happens...
New Order
New Shipping Label
Choose an Action
Automatically do this!
- Request a new Action for Fivetran
Enable Integrations or automations with these events of Shippo and Fivetran
Enable Integrations or automations with these events of Shippo and Fivetran
Triggers
New Order
Triggers when a new order is created in Shippo.
New Shipping Label
Trigger when a new shipping label is created.
Actions
Search Order
Get a list of all order objects.
Create Order
Create a new shipping order in Shippo.
Find a Shipping Label
Get an existing label using an object ID.
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Frequently Asked Questions
To start, connect both your Shippo and Fivetran accounts to viaSocket. Once connected, you can set up a workflow where an event in Shippo triggers actions in Fivetran (or vice versa).
Absolutely. You can customize how Shippo data is recorded in Fivetran. This includes choosing which data fields go into which fields of Fivetran, setting up custom formats, and filtering out unwanted information.
The data sync between Shippo and Fivetran 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 Shippo and Fivetran. 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 Shippo
Shippo's API standardizes carrier processes and streamlines the complexities of shipping, so you can offer a best-in-class solution without the upkeep.
Learn MoreAbout Fivetran
Fivetran is a leading data integration service that automates the process of connecting and syncing data from various sources into a centralized data warehouse. It simplifies the ETL (Extract, Transform, Load) process, allowing businesses to focus on analyzing their data rather than managing data pipelines.
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