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How to extract data from email messages in Microsoft Flow and Azure Logic Apps

In this article, I will describe how to extract values from email messages and store them somewhere with the help of Microsoft Flow or Azure Logic Apps.

 

Let’s suppose you are getting a new email after someone made a purchase and you need to extract information from this email and create a new item in your orders SharePoint list.

 

Your email might look like this:

 

*** Order information ***
Time zone: GMT+00:00
Reference: 4563452
Order number: 1400
Payment method: Visa/MasterCard
Order status: Credit card payment authorized

*** Ordered products ***
Product code: D3F13B23B0
Title: Tires
Price: 150
Quantity: 4

Product code: FD3423DE
Title: Cookies
Price: 30
Quantity: 20

Product code: KFG45GK445
Title: Tools
Price: 50
Quantity: 10

*** Delivery information ***
First name: John
Last name: Doe
Company: Happy Company Ltd
Country: Australia
Phone: 01 2345 6780

 

I will use Regular Expression Match action from our Plumsail Documents.

 

Your flow might look like this:

 

regex-match-flow

 

For this case, I'm using the trigger to manual start of the flow. You can use any other trigger available in Microsoft Flow.

 

Receive email

 

First, we receive an email in Outlook, you can specify Subject Filter field so this trigger will be working only the ones that have ‘Order’ in their subject.

 

regex-match-receive-email

 

Regular Expression Match

 

Then we are using Regular Expression Match action to find three values: Title, Price, and Quantity in our email's body.

 

regex-match-action

 

Here is a regex we are using in this flow:

 

Title: (?<Title>.+|)
Price: (?<Price>.+|)
Quantity: (?<Quantity>\d+)

 

You may notice that Regular expression match in this regular expression has a few outputs:

 

regex-match-flow-matches

 

There is "Match0" is a full match for the whole regular expression. There are also separate output values for each named regular expression group: Price, Quantity, Title.

 

You can learn more about named groups on this page. The action is smart enough to create separate output value in Microsoft Flow for each named regular expression group that is used in it. It dramatically simplifies the extraction of values from text strings. You just write a regular expression with named groups and then use them across your flow.

 

You can easily put match regex into a named group like this: (?<Title>.+|). The name of this group will be "Title", everything that matches regular expression .+| will be returned as a separate output of the action.

 

Note, the action returns an array of matches, because you may have multiple matches in your text. This is how JSON representation of result may look with multiple matches:

 

[
    {
        "Match0": " Title: Tires\r\nPrice: 200\r\nQuantity: 4",
        "Title": "Tires",
        "Price": "150",
        "Quantity": "4"
    }, {
        "Match0": " Title: Cookies\r\nPrice: 30\r\nQuantity: 20",
        "Title": "Cookies",
        "Price": "30",
        "Quantity": "20"
    }, {
        "Match0": " Title: Tools\r\nPrice: 50\r\nQuantity: 10",
        "Title": "Tools",
        "Price": "50",
        "Quantity": "10"
    }
]

 

Create item in SharePoint list

 

In the last step, we are using the values from the previous step to create an item in 'Orders' SharePoint list.

 

regex-match-create-item

 

In this action, we are going through the 'Matches' array and we are getting its values in the cycle, using the named groups as keys.

 

Then we are using these keys values to create an item in our SharePoint 'Orders' list.

 

Conclusion

 

Now you should have an idea how to work with Regular Expression Match action in Plumsail Documents connector for Microsoft Flow. If you haven’t used it yet, registering an account would be the first step, you can learn about it here. It is quite easy to get started.

 

This article was originally published here.

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