You're reading from Workflow Automation with Microsoft Power Automate Drive digital transformation with AI-powered automation and low-code business workflows

Product type Paperback

Published in Dec 2025

Publisher Packt

ISBN-13 9781836649632

Length 605 pages

Edition 3rd Edition

Tools

Power Platform

Concepts

Business Process Management

Author (1):

Aaron Guilmette

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Table of Contents (28) Chapters

1. Workflow Automation with Microsoft Power Automate: Drive digital transformation with AI-powered automation and low-code business workflows FREE CHAPTER

2. Chapter 1: Introducing Microsoft Power Automate

3. Chapter 2: Getting Started with Power Automate

4. Chapter 3: Working with email

5. Chapter 4: Copying files

6. Chapter 5: Creating Button Flows

7. Chapter 6: Generating push notifications

8. Chapter 7: Working with shared flows

9. Chapter 8: Working with Conditions

10. Chapter 9: Understanding Expressions and Functions

11. Chapter 10: Getting Started with Approvals

12. Chapter 11: Working with Multiple Approvals

13. Chapter 12: Posting Approvals to Teams

14. Chapter 13: Using Databases

15. Chapter 14: Working with Microsoft Forms

16. Chapter 15: Posting to Slack

17. Chapter 16: Accepting User Input

18. Chapter 17: Automating Entra ID

19. Chapter 18: Introducing Robotic Process Automation

20. Chapter 19: Contributing to an Access database with RPA

21. Chapter 20: Automating webpages with RPA

22. Chapter 21: Introducing AI Models and Generative AI

23. Chapter 22: Creating a sentiment analysis flow

24. Chapter 23: Using Copilot to create and manage flows

25. Chapter 24: Using Generative AI to summarize documents

26. Chapter 25: Exporting, importing, and distributing flows

27. Chapter 26: Monitoring and troubleshooting flows

28. Chapter 27: Governance in the Power Platform

Scraping data

Scraping data is a common activity used for a wide range of purposes—especially when structured data isn't readily available through an API. Some common uses include:

Market and competitive research, such as tracking new products, pricing changes, promotions, and customer reviews
Gathering data for machine learning
Tracking breaking news
Monitoring brand reputation
Compare data against multiple platforms and sources
Build aggregation tools or sites like Zillow, Kayak, or Apartments.com

In this section, we'll do some basic scraping with the Edge browser and the recorder.

Scraping a single page

To begin scraping, we'll need some sample data. For this exercise, we're going to pull data from one of the sample sites listed earlier in this chapter. The page we're going to focus on has a list of items in an ecommerce store formatted in...