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Connect Mailparser to PostgreSQL and automate any workflow

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2. Choose an Action
The event an automation performs after it's triggered
Endless possibilities

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Zapier makes it easy to integrate Mailparser with PostgreSQL - no code necessary. See how you can get setup in minutes.

Select a trigger from Mailparser

A trigger is an event that starts your Zap and runs the workflow. For example, with Mailparser, a trigger could be "New Email Parsed."
A trigger is the event that kicks off your automated workflow.

Setup an action from PostgreSQL

An action is what takes place after the automation is triggered. For example, with PostgreSQL, the action could be "New Row."
An action is the event that your automated workflow performs when triggered.

That’s it! You just connected Mailparser to PostgreSQL

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Triggers and actions are the main components of every automated workflow.

Connect Mailparser and PostgreSQL to integrate crucial parts of your business

With Zapier, you can integrate everything from basic data entry to end-to-end processes. Here are some of the business-critical workflows that people automate with Zapier.

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An illustration representing how to automate lead management with Zapier.

Connect Mailparser and PostgreSQL to unlock the power of automation

With Zapier's 7,000 integrations, you can unify your tools within a connected system to improve your team's efficiency and deepen their impact.

Choose a Trigger
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Choose an Action

Supported triggers and actions

Zapier helps you create workflows that connect your apps to automate repetitive tasks. A trigger is an event that starts a workflow, and an action is an event a Zap performs.

Learn how to automate Mailparser on the Zapier blog.

Automate PostgreSQL: get inspired on the Zapier blog

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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 PostgreSQL
    PostgreSQL is a powerful, open-source database engine with a uniquely advanced query optimizer and dozens of built in features, making it an easy choice for production databases.
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