Web Scraping for Off-Market Real Estate Deals

Learn how to use web scraping bots to find and track off-market real estate deals on social media platforms. Discover data-driven tools and resources to analyze potential investment areas, and hear about the guest's plans for the future in real estate and programming.

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Do you lean into data when analyzing real estate deals? In a competitive market, ANY kind of advantage goes a long way towards helping you land better deals. And guess what? Harnessing the power of data is much easier than you think. Today’s guest delivers a handful of helpful tips, tricks, and tools that all rookie investors can use!

Welcome back to the Real Estate Rookie podcast! Today, we’re joined by Ariel Herrera—data scientist by day and real estate investor by night. Five years ago, Ariel decided that real estate was going to be her path to financial freedom. Like any eager investor, she devoured as many articles, podcasts, videos, and books as she could get her hands on at the time. Once she realized that she could combine her love for data science with real estate, there was no looking back!

In this episode, Ariel shares about the competitive edge you can gain by being a data-driven real estate investor. She recommends several tools and systems, all of which are easy to implement and require ZERO coding. Additionally, you’ll learn how to choose your market, invest out-of-state, and save a ton of time with a few deal analysis shortcuts!

In This Episode We Cover:

How to find better real estate deals through the power of data science

Tools and systems you can use to analyze deals (WITHOUT any coding!)

Leveraging the equity in your portfolio to purchase MORE properties

Creating consistent cash flow with the house hacking strategy

How to find and purchase properties in other states (and countries!)

And So Much More!

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