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TengkuMaestro
Frequent Visitor

Extract specific table in email body

Hi guys,

 

i required some help to extract the JA table. i managed to extract the first table but unable to extract the 2nd table. below is the example email body to be extracted. thank you in advance

_______________________________________________________________________________________________________________________________

Dear 1060 SD,

 

On Behalf PM , Kindly please create tickets as details below:

 

CASE :

 

No

Item

Selection

1

Description Information

 

Subject

Request for ticket create for Site Installation

Description

Appreciate to raise 1 SRF ticket for the task completed by my end

 

 

2

Case Information

 

Source

Email – VADS ICT (1MA)

Severity

3-Medium

Impact

User

Priority

3-Medium

Status

Open

 

 

3

Contact Information

 

Account Name

VADS

Contact Name

 

Reported By

 

Preferred Acknowledgement

Email

 

 

4

Service Request Details

 

Category

1MA Customer

SubCategory

Network Service and Support

Catalog Item

Installation

Catalog Item ICT

4089 - Installation

TM Product Name

Internal

TM Completed Date

23/06/2023 08:54

Reason

Customer Request

 

 

5

Asset Information

 

Asset/Service

 

Project Name

 

 

 

JA :

 

Description

Appreciate to raise 1 SRF ticket for the task completed by my end

Assignment

SD-Enterprise-ICT- L1- Service Desk

2 ACCEPTED SOLUTIONS

Accepted Solutions
VictorIvanidze
Community Champion
Community Champion

Please show how you are extracting the first table.

________________________________________________________

Welcome to my web site.

View solution in original post

@TengkuMaestro 

You can use Encodian's Utility - Parse HTML Table to parse tables received in email bodies and convert them from HTML into JSON.  
 
You can also pass through a table ID so you just have to loop through each table in the email to get the second one. 

AlexEncodian_0-1694163090964.png

 

 

FYI –  actions with the “Utility“ prefix only consume 1/20th of an Encodian action count . For example, a Standard plan has 500 actions so utility actions can be used 500x20 = 10,000 times. They are designed to be an incredibly cost effective productivity boost for your flow builds! 

 

---- 

*Encodian Flowr is a Standard Power Automate connector with 100+ actions to supercharge flow builds. Conversion, merging, splitting, OCRing, data extraction, QR/Bar codes, searching and much more. And we just added "Utility" actions, which are almost free to use and accelerate solution builds and remove maintenance overheads with actions like Extract text between values, extract URLs, extract email addresses, Password/GUID/HMAC creation, escaping/unescaping HTML, parsing HTML tables, etc. 



View solution in original post

3 REPLIES 3
VictorIvanidze
Community Champion
Community Champion

Please show how you are extracting the first table.

________________________________________________________

Welcome to my web site.

@TengkuMaestro 

You can use Encodian's Utility - Parse HTML Table to parse tables received in email bodies and convert them from HTML into JSON.  
 
You can also pass through a table ID so you just have to loop through each table in the email to get the second one. 

AlexEncodian_0-1694163090964.png

 

 

FYI –  actions with the “Utility“ prefix only consume 1/20th of an Encodian action count . For example, a Standard plan has 500 actions so utility actions can be used 500x20 = 10,000 times. They are designed to be an incredibly cost effective productivity boost for your flow builds! 

 

---- 

*Encodian Flowr is a Standard Power Automate connector with 100+ actions to supercharge flow builds. Conversion, merging, splitting, OCRing, data extraction, QR/Bar codes, searching and much more. And we just added "Utility" actions, which are almost free to use and accelerate solution builds and remove maintenance overheads with actions like Extract text between values, extract URLs, extract email addresses, Password/GUID/HMAC creation, escaping/unescaping HTML, parsing HTML tables, etc. 



Thank you @AlexEncodian i will try using it

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