The migration guide to leaving Mailparser for Parseur

Thinking of leaving Mailparser.io and trying Parseur? This article is for you! We are going to cover both the similarities and differences between both email parsing tools to help you migrate your mailparser workflows to Parseur.

Comparing Parseur vs Mailparser cover image

Parseur is a powerful parsing tool that automates manual data entry extraction, saving you hours of work. Parseur uses a simple point and click approach with amazing features.

In our previous mailparser.io vs Parseur comparison article, we provided a broad overview of the main features of Parseur and how it differs from Mailparser.io. In this one, we will take a real case study and show you how both email parsing tools work simultaneously.

Let’s take the case when you order from eBay and you receive the email confirmation for your purchase.

ebay-confirmation-email

Email confirmation from eBay

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Creating your mailbox

For both Mailparser.io and Parseur, you have to create and name your mailbox within the email parsing tool. The only difference here is that Parseur provides you with an email address that you can easily remember.

Example of email address for a Parseur mailbox

Example of email address for a Parseur mailbox

Example of email address for a mailparser mailbox

Example of email address for a Mailparser mailbox

Once your mailbox is created, forward the email to the email address provided to you.

Receiving the email in your mailbox

If you have images or links in your email, those may not appear well in your Mailparser.io mailbox. However, Parseur will show you the exact same email.

Example of email received in mailparser mailbox

Example of email received in Mailparser mailbox

Example of email received in parseur mailbox

Example of email received in Parseur mailbox

Extracting data from your emails

Mailparser.io is good at finding some fields automatically, based on the given templates.

mailparser-automatic-parsing-rules

Quick parsing rules in Mailparser

However, if you want to customize your fields, custom rules would have to be created which takes time, especially if you have zero coding experience. For example, if you need the tracking number or get the price paid without mention of the credit card, custom rules have to be created.

Click on parsing rules and, from the parsing rule editor, custom rules are made based on your requirements. From the screenshots below, we created a custom rule for the tracking number. As you can see, it’s a bit complex, unlike Parseur which is Point and Click.

mailparser-custom-rules

Custom rules in Mailparser

mailparser-custom-rules

Custom rules in Mailparser

In Parseur, data is not extracted via rules, but via templates. A template is a visual representation of a sample document, on which you highlight the data you want to extract. Highlighting the data is very easy: just select the piece of text and give it a name!

Creating your first field in Parseur

Creating your first field in Parseur

parseur-create-template

Creating template in Parseur

Once you’ve saved your first template, documents matching this layout will all be parsed automatically. Parsed results will look like this:

parsed-results-parseur

Parsed results in Parseur

Using Parseur requires zero coding experience. It is simple and user-friendly.

Parseur killer feature: extracting data from different email layouts automatically

Do you want to parse data from emails of similar types but with different layouts? No problem! Create as many templates as you have layouts and Parseur will automatically select the correct one every time! No need to manually create routing mailboxes and rules like in Mailparser.io.

What’s more, that feature allows Parseur to come loaded with hundreds of ready-made templates for food ordering, real estate, job search, and among others.

Parsing tables and repetitive text

Another cool feature of Parseur is table parsing which is done via point & click automatically compared to Mailparser.io which uses custom rules.

For example, take the case where you want extract details from an Amazon order. You can select the whole table that you want to capture and create a data field for it.

From there, table columns can be created. Check out our support article for more information about table parsing in Parseur.

It’s an easy Point & Click!

create column fields in amazon

Table parsing: Creating column fields in Amazon

Formatting your data

Data extracted from emails are not always in the best format that you require. For example, there may be a different format for names, addresses, and dates across the emails you want to parse. To get a more consistent result, Parseur allows you to use field formats to normalize the parsed data into a structured one.

Learn more about how to use data formatting. An output format is assigned to the specific field which teaches Parseur how to normalize it.

Exporting parsed data

Once your data is extracted, you can download the parsed data or send it to any application of your choice using

Migrating from Mailparser.io to Parseur in a nutshell

Mailparser.io is a very solid tool for parsing emails. However, it can sometimes be complex to set up and time-consuming to maintain for advanced scenarios, especially if you need to parse emails coming in many different layouts.

We hope this article gives you a clear idea of how Parseur, as an alternative to Mailparser.io, can get your email parsing workflow to the next level by using our simple point & click approach and leveraging our multi-template parsing capabilities.

Don’t hesitate to reach out on the chat should you have any questions while setting up your data extraction workflow!

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