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)

Downloading structured data from IQ Bot

Now, let's download the CSV files that were generated by IQ Bot. These CSV files contain the invoice data from the mapping we created in the learning instance. To create this Task Bot, follow these steps:  

  1. Go to My Bots on the left panel and select Create a bot, just like we did in the previous section. Name it Invoice Download
  1. We just need one Action to download the files from IQ Bot. Let's look up and add the IQ Bot Download all documents Action. In its properties, choose the learning instance we created earlier. For the Local output folder, add the path where you'd like the bot to place the processed CSV files:

  1. Save the bot and run it. Once the bot has run successfully, go to the processed CSV files folder and check whether you have the files. The bot will have processed all the invoices that matched the format that we trained it on.

Now that we have the structured data downloaded, let...