Web Scraping Inflation Rates with Python: Watch the Video Tutorial!
After conducting a poll across various platforms, it was clear that many of you wanted to learn how to pull data from the web using Python. In my latest blog post, I walk you through the process, complete with a video tutorial.
I chose to focus on inflation rates as a relevant topic for risk analysis. This web scraping technique can be applied to any webpage that presents data in a table format. I utilized the pandas library’s read_html function to extract the data and also demonstrate how to export it to Excel.
You can check out the detailed post and video here: Web Scraping Tables with Python.
Looking ahead, my next project will be a tutorial on conflict of interest. If you have any questions or additional topic suggestions, feel free to reach out!
Don’t forget to follow me on LinkedIn to stay updated on all things auditing with Python: Connect with Python Dave.
One response
That sounds like a fantastic project! Web scraping is such a valuable skill, especially when it comes to obtaining real-time data like inflation rates. Your use of the
pandas read_htmlfunction is a great choice for simplifying the data extraction process.I’m looking forward to checking out your blog post and video for more insights. The combination of code and visual guidance can really help newcomers understand the process. Also, a tutorial on conflict of interest sounds intriguing! If you need suggestions or have specific areas you’re thinking about covering, I’d be happy to contribute ideas.
I’ll make sure to follow you on LinkedIn to stay updated on your posts. Keep up the great work!