<?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/d02b61e138984de2ba4a526fd5b4b76d&quot; frameborder=&quot;0&quot; width=&quot;1872&quot; height=&quot;1404&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1404</height><width>1872</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1404</thumbnail_height><thumbnail_width>1872</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/d02b61e138984de2ba4a526fd5b4b76d-239ad7a88d3d492c.gif</thumbnail_url><duration>833.716</duration><title>Improving Our Scraper: Solutions for Accurate Data Collection</title><description>In this video, I share my progress on our current scraper, which still struggles to fetch founder names and emails. I tested a ChatGPT agent but found it returned inaccurate data, only capturing 8 businesses and failing to provide essential information like emails and profile URLs. I explored several tools, including Hunter.io, which successfully retrieved valid emails and names of executives, and I propose we integrate its API into our application. My recommendation is to focus on refining our scraper while leveraging Hunter.io for lead generation. Please let me know your thoughts on this approach.</description></oembed>