Connect Sulekha and caplena to Build Intelligent Automations

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Sulekha

When this happens...

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caplena

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Enable Integrations or automations with these events of Sulekha and caplena

Enable Integrations or automations with these events of Sulekha and caplena

Triggers

New Leads

New Leads

Triggers when the New Lead is captured.

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Frequently Asked Questions

How do I start an integration between Sulekha and caplena?

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

Can we customize how data from Sulekha is recorded in caplena?

Absolutely. You can customize how Sulekha data is recorded in caplena. This includes choosing which data fields go into which fields of caplena, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Sulekha and caplena?

The data sync between Sulekha and caplena 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 Sulekha to caplena?

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 Sulekha and caplena?

Yes, you can set conditional logic to control the flow of data between Sulekha and caplena. 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.

Sulekha

About Sulekha

Sulekha is a comprehensive online platform connecting users with local service providers across various categories, including home services, education, and events. It facilitates easy access to trusted professionals and businesses, enhancing convenience and efficiency for users seeking specific services.

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caplena

About caplena

Caplena helps you automatically analyse free-text, creating actionable results from unstructured customer feedback, tweets or app reviews.

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