Connect Readwise and Fivetran to Build Intelligent Automations
Enable Integrations or automations with these events of Readwise and Fivetran
Enable Integrations or automations with these events of Readwise and Fivetran
Actions
Create Highlight
Creates a Highlight.
Update Highlight
Updates an existing Highlight.
Delete Highlight
Delete an existing Highlight .
Create Tag for Highlight
Creates a tag for an existing Highlight.
Update Tag for Highlight
Update an existing tag for an existing Highlight.
Delete Tag for Highlight
Deletes an existing tag for an existing Highlight.
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Frequently Asked Questions
To start, connect both your Readwise and Fivetran accounts to viaSocket. Once connected, you can set up a workflow where an event in Readwise triggers actions in Fivetran (or vice versa).
Absolutely. You can customize how Readwise 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 Readwise 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 Readwise 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 Readwise
Readwise is a platform designed to help users manage and revisit their digital highlights and notes from various reading sources. It allows users to sync their highlights from Kindle, Instapaper, Pocket, and other reading apps, and then surfaces these highlights through daily emails and a web app to reinforce learning and retention.
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About 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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