Connect PollPe and Labelf to Build Intelligent Automations

Choose a Trigger

PollPe

When this happens...

Choose an Action

Labelf

Automatically do this!

Enable Integrations or automations with these events of PollPe and Labelf

Enable Integrations or automations with these events of PollPe and Labelf

Triggers

Form Is Submitted

Form Is Submitted

Runs when form is submitted.

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Frequently Asked Questions

How do I start an integration between PollPe and Labelf?

To start, connect both your PollPe and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in PollPe triggers actions in Labelf (or vice versa).

Can we customize how data from PollPe is recorded in Labelf?

Absolutely. You can customize how PollPe 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.

How often does the data sync between PollPe and Labelf?

The data sync between PollPe and Labelf typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from PollPe to Labelf?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between PollPe and Labelf?

Yes, you can set conditional logic to control the flow of data between PollPe 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.

PollPe

About PollPe

PollPe is an innovative platform designed to create, distribute, and analyze polls and surveys with ease. It offers robust tools for gathering insights and feedback from your audience, making it ideal for businesses, educators, and researchers.

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Labelf

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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