Summary of all examples by category

Capturing single fields from an incoming emails

A single field means something that is not in the form of a table or a list. For example, an incoming email containing a single order notification with one identification number, one customer name and one address, all of them are considered single fields as they contain a single text string for each field. On the contrary, an email containing a list of, for instance, article descriptions are not considered “single field” as the field article_description contain more than one text string. These examples shows how to capture this type of data:

Using regular expressions

Regular expressions is a text capture method that can capture almost any kind of data if you know how to use them. The examples that cover this method are the following:

Capturing text in HTML tags from an email

Most emails carry a plain text version (Body) and a HTML version (BodyHTML) of the message. For parsing, it is easier to work with the plain text but there are many cases where you many need to capture text from HTML tags. These examples show you how to do that:

Exporting email data to Google Sheets

Along with the Excel action, exporting the captured text from the email to Google Sheets is the most common way to store the information from the incoming email. This example shows how to do so:

Exporting email data to Excel

Email Parser supports exporting the captured fields to Microsoft Excel through the Excel action. The following examples show how you can do that:

Parsing text from an email using the method “starts with… continues until…”

“Starts with… continues until” is probably the most common text capture method used in Email Parser as it is simple to use and easy to understand These are the examples:

Using scripts

Among advanced users, scripting is often used to extend the capabilities of Email Parser. With the SDK (and the required knowledge) you can do almost anything you want in Email Parser:

Capturing data from the contents of an attached file:

Saving attached files, renaming etc:

Filtering emails in Email Parser

Email filtering most of the times is a very easy to understand step. It usually just requires to enter a sender address or a given subject and Email Parser will not process any email not matching that criteria. But sometimes a more elaborate process is required. The following examples go from the very basic to complex email filtering rules:

Exporting data to a database

Email Parser is often used as the back end for processes that must be triggered by an incoming email. In this context, saving the captured information from the email to a database is a very common use case. The following examples use MySQL, SQL Server or ODBC actions to save or get data.


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