Connect Rows and Labelf to Build Intelligent Automations
Enable Integrations or automations with these events of Rows and Labelf
Enable Integrations or automations with these events of Rows and Labelf
Actions
Add Row
Add a new row to the selected table using the values you provide.
Create table
Create a new table with the given name on the chosen page of your spreadsheet.
Delete table
Deletes the selected table from the chosen spreadsheet.
Rename Table
Renames a table in the chosen spreadsheet to the new name you provide.
Create Spreadsheet Page
Adds a new page (tab) to the selected spreadsheet using the name you provide.
Delete Spreadsheet Page
Remove a page (tab) from the chosen spreadsheet so it no longer appears.
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Frequently Asked Questions
To start, connect both your Rows and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Rows triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Rows data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between Rows and Labelf 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 Rows and Labelf. 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 Rows
Rows is a powerful online spreadsheet tool designed to enhance productivity and collaboration. It offers advanced features for data analysis, automation, and integration with various apps and services.
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About Labelf
Labelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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