Connect Mailparser and RapidMiner to Build Intelligent Automations
Enable Integrations or automations with these events of Mailparser and RapidMiner
Enable Integrations or automations with these events of Mailparser and RapidMiner
Triggers
New Email Parsed One Request Per Row
Triggers when a new email is parsed in an inbox, and create one request for each row if the result contains a tabular result.
New Email Parsed One Request Per Email
Triggers when a new email is parsed in an inbox, and create one request for one email.
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Frequently Asked Questions
To start, connect both your Mailparser and RapidMiner accounts to viaSocket. Once connected, you can set up a workflow where an event in Mailparser triggers actions in RapidMiner (or vice versa).
Absolutely. You can customize how Mailparser data is recorded in RapidMiner. This includes choosing which data fields go into which fields of RapidMiner, setting up custom formats, and filtering out unwanted information.
The data sync between Mailparser and RapidMiner 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 Mailparser and RapidMiner. 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 Mailparser
Send emails to Mailparser, get structured data in return. Leads, Contact Forms, eCommerce, Shipping Notes, Attachments, Customer Info & more.
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About RapidMiner
RapidMiner is a leading data science platform that provides advanced analytics and machine learning solutions. It enables users to design and deploy predictive models, analyze data, and extract valuable insights to drive business decisions. With its user-friendly interface and powerful capabilities, RapidMiner is ideal for data scientists, analysts, and business professionals looking to harness the power of data.
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