Integrations Magicbricks Datawrapper
Magicbricks + Datawrapper

Connect Magicbricks and Datawrapper to Build Intelligent Automations

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Datawrapper

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Frequently Asked Questions

How do I start an integration between Magicbricks and Datawrapper?

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

Can we customize how data from Magicbricks is recorded in Datawrapper?

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

How often does the data sync between Magicbricks and Datawrapper?

The data sync between Magicbricks and Datawrapper 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 Magicbricks to Datawrapper?

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 Magicbricks and Datawrapper?

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

Magicbricks

About Magicbricks

Magicbricks is a leading real estate platform that connects buyers, sellers, and renters with a wide range of property listings. It offers comprehensive tools and resources for property search, valuation, and real estate insights.

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Datawrapper

About Datawrapper

Datawrapper is a powerful tool for creating charts, maps, and tables from your data, making it easy to visualize and share insights. It is designed to help users transform raw data into clear, engaging visualizations that can be embedded in websites or shared across platforms.

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