<?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/0a145f36baf74d309753cbd5fa67f7f3&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/0a145f36baf74d309753cbd5fa67f7f3-00001.gif</thumbnail_url><duration>276.37</duration><title>Part 2 Verify Data Scraping</title><description>In this video, I verify the data we obtained from scraping the Georgia public notice for closure data. We scraped three pages, approximately 30 entries, and manually selected four closures to analyze. I provide examples of the data we collected, including names, security deeds, auction dates, and property addresses. The data appears to be correct, and I showcase three specific documents as examples. No action is requested from viewers.</description></oembed>