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)

Data scraping

Now, we will extract the customer names from the displayed customer details using the Data Scraping feature in UiPath. Follow these steps:

  1. Click on Data Scraping in the top ribbon:

  1. In the Extract Wizard that pops up, click on Next. Choose the first customer on the list (for example, Amazon). The wizard will prompt you with an option to extract the whole table. We'll choose No as we only need the customer names for this project.
  2. Click Next and select another element for the Data Scraping wizard to be able to identify the table. Point to the last customer on the list (for example, Salesforce). Click Next.
  3. On the next screen, provide a column name for the data we are extracting. Let's call it Name since the data is customer names. Click Next:

  1. Now, you'll be shown a preview of the data that you extracted. Check the data and click on Finish, as shown in the following screenshot:

  1. Choose No in the dialog that asks whether...