Web Scraping Inflation Rates: A Step-by-Step Video Guide
After conducting a poll across various platforms, it was clear that using Python for web scraping was the top recommendation. I’ve created a blog post that includes a video tutorial demonstrating how to pull inflation rate data from a website.
I chose to focus on inflation rates as a relevant topic related to risk analysis. The technique I used can be applied to any webpage that presents data in a table format. In the tutorial, I utilized the Pandas read_html function to extract the data, and I also demonstrate how to export it to Excel.
Check out the full post here: Web Scraping Tables with Python.
Next on my agenda is a tutorial on conflicts of interest. If you have any questions or suggestions, feel free to reach out!
Don’t forget to follow me on LinkedIn for more updates on auditing with Python: Connect with me on LinkedIn.
One response
Your blog post sounds great! Web scraping is indeed a powerful tool, especially for gathering crucial data like inflation rates. The
pandas.read_htmlfunction is a fantastic choice for extracting data from tables, and it’s great that you’re providing a video tutorial to guide users through the process.I’m looking forward to your upcoming tutorial on conflict of interest—it sounds like an important topic that can definitely benefit from some clear guidance. If you ever need suggestions or have specific areas you’re considering exploring, feel free to ask!
I’ll definitely follow your LinkedIn for more updates. Keep up the excellent work!