Robotic Process Automation - UiPath RPA Developer Masterclass - Robot #6 Solution Walkthrough

The video tutorial guides viewers through a process of automating data extraction from Amazon.com using a project setup in a studio environment. It involves reading topics from an Excel workbook, setting up browser automation in Google Chrome, and using data scraping activities to extract book titles and prices. The extracted data is then written back to the Excel workbook, with each topic having its own sheet. The tutorial emphasizes best practices, such as naming activities and adding annotations, to ensure a clean and efficient workflow.

What is the first step in setting up the project for data extraction?

• Set the search category to books

• Read the list of topics from Excel

• Open Google Chrome

• Create a new data table variable

Which activity is used to select the search category on Amazon?

• Click activity

• Select item activity

• Type into activity

• Navigate to activity

How do you ensure the search is performed after typing the topic?

• By opening a new browser

• By selecting the search category

• By using the enter key

• By clicking the search button

What data is extracted from the Amazon search results?

• Book titles and prices

• Book titles and publication dates

• Book titles and reviews

• Book titles and authors

What is the purpose of creating a new sheet in the Excel workbook?

• To store the original data

• To list all search categories

• To organize data by topic

• To save the browser settings

Which activity is used to navigate back to the Amazon homepage?

• Click activity

• Type into activity

• Navigate to activity

• Select item activity

What should be checked off in the write range activity before running the process?

• Data table property

• Select item property

• Browser type property

• Add headers property