Book Image

Robotic Process Automation Projects

By : Nandan Mullakara, Arun Kumar Asokan
Book Image

Robotic Process Automation Projects

By: Nandan Mullakara, Arun Kumar Asokan

Overview of this book

Robotic Process automation helps businesses to automate monotonous tasks that can be performed by machines. This project-based guide will help you progress through easy to more advanced RPA projects. You’ll learn the principles of RPA and how to architect solutions to meet the demands of business automation, along with exploring the most popular RPA tools - UiPath and Automation Anywhere. In the first part, you’ll learn how to use UiPath by building a simple helpdesk ticket system. You’ll then automate CRM systems by integrating Excel data with UiPath. After this, the book will guide you through building an AI-based social media moderator using Google Cloud Vision API. In the second part, you’ll learn about Automation Anywhere's latest Cloud RPA platform (A2019) by creating projects such as an automated ERP administration system, an AI bot for order and invoice processing, and an automated emergency notification system for employees. Later, you’ll get hands-on with advanced RPA tasks such as invoking APIs, before covering complex concepts such as Artificial Intelligence (AI) and machine learning in automation to take your understanding of RPA to the next level. By the end of the book, you’ll have a solid foundation in RPA with experience in building real-world projects.
Table of Contents (14 chapters)

Reading the RPA challenge Excel data

We will use the Read Range activity to read the Excel content. Here are the steps for creating the UiPath automation:

  1. In the Try block, add a new sequence called Main Sequence.
  2. We will now read the input Excel file data into the dataTable variable that we just created. Add the Read Range activity and update the properties of the activity:
    1. Click and point on the RPA challenge Excel workbook location.
    2. Add the range to read on the workbook.
    3. Make sure AddHeaders is checked. 
    4. Set Output to a new dataTable variable.

Here is what our workflow looks like so far:

We now have the Excel data stored in the dataTable variable. Let's now iterate on each row and input the data into the forms on the website.