<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/d1bccf89d33840449392e4f5173b669f&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/d1bccf89d33840449392e4f5173b669f-00001.gif</thumbnail_url><duration>301.4</duration><title>Part 1:  Project for Foreclosure Data Scraping</title><description>Hi, good day. This is Robin Ignatio, a patent developer, working on a project for a foreclosure data scraping. In this video, I will explain the setup and demonstrate how we scrape data from Georgia public notices for foreclosures. I will show you how to declare the pages needed, set the start date, and run the bot. You will see the bot navigating the link, mimicking human typing, and scraping the contents of the pages. I will also highlight important details such as property addresses, owner names, and auction dates. Thank you for watching!</description></oembed>