<?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/445672020d0e4a0d9d5e21e59aa55060&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/445672020d0e4a0d9d5e21e59aa55060-53e21e4d00f10aad.gif</thumbnail_url><duration>38.828</duration><title>Exploring Data Parsing Approaches 📊</title><description>In this video, I discuss two different approaches we can take for handling data parsing. The first method involves parsing out the scraped value, while the second option utilizes the formulas feature to generate records as they are created. I encourage you to consider which approach might work best for our project. Let me know your thoughts!</description></oembed>