
When this happens...

Automatically do this!
Enhance
Enable Integrations or automations with these events of Mailtrap and Diffbot
Allows you to get the list of your Lists and their IDs.
Creates a new contact.
Creates a new Contact Lists.
Delete existing Contact List.
Deletes Contact by his email.
Allows you to update Contact in Mailtrap
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Gain insights into how viaSocket functions through our detailed guide. Understand its key features and benefits to maximize your experience and efficiency.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Mailtrap and Diffbot accounts to viaSocket. Once connected, you can set up a workflow where an event in Mailtrap triggers actions in Diffbot (or vice versa).
Absolutely. You can customize how Mailtrap data is recorded in Diffbot. This includes choosing which data fields go into which fields of Diffbot, setting up custom formats, and filtering out unwanted information.
The data sync between Mailtrap and Diffbot 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 Mailtrap and Diffbot. 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.
Mailtrap is a tool designed for safe email testing, allowing developers to inspect and debug emails before they reach real users. It provides a virtual inbox to capture and analyze emails, ensuring that they are correctly formatted and free of errors. This service is essential for developers and QA teams who need to test email functionality without sending emails to actual recipients.
Learn MoreDiffbot is a powerful AI-driven data extraction and analysis platform that automates the process of gathering and structuring web data. It uses machine learning and computer vision to transform web pages into structured data, making it easier for businesses to access and utilize information from the web.
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