Mailparser vs Make

Having used many other parsing tools (like Zapier's free email parser), we've found that if you want to consistently extract important data from structured emails, there's no better tool than that of Mailparser.

What makes Mailparser better is the consistency that comes with setting it up properly.

It allows for a deep level of granularity, allowing you to extract the exact data-points that you want from emails. From there, if you're using one of the best CRM solutions, you can easily categorize and pass the data along to your CRM and other tools.

Zapier's solution on the other hand, while "free", was created as more of a lead magnet for Zapier. It hasn't been updated in years, and attempts to extract data by highlighting data in an email, paired with some incredibly basic machine learning.

What I'm saying, is that it works, until it doesn't. If the email changes in any way, even slightly, your output is a mess of data. Mailparser on the other hand, while paid, allows you to actually make emails a consistent part of your process.

This is very much a category of "you get what you pay for".

While at first glance Make may look more user-friendly and visually appealing than that of Zapier with their drag-and-drop interface and animated bubble-like components, it's deceptively complex, yet extremely powerful.

Make is much more than a tool to just pass data from one app to another, it's also a fully-featured data manipulation tool for the data.

Because of that, learning how to use Make effectively is actually like learning a programming language, which is where the initial deception comes from.

The people I know that use Make as their main integration tool, are using it for quite complex data problems, for large companies, and they are often just as technical as a traditional engineer.

If you don't know what an API is, how webhooks function, and how arrays work, you're likely going to struggle with using Make.