video1.0<iframe src="https://www.loom.com/embed/a0d9992abf5b44fb8904a30d94a3346a" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/a0d9992abf5b44fb8904a30d94a3346a-672dca130810c3e3.gif224.738In this video, I walk you through my current project involving a template that scrapes names from a webpage and ranks individuals based on their seniority. The process is a bit slow, taking about a minute for 60 people, and I’m looking for ways to improve that for larger datasets. I also encountered a limitation where it only retrieves the first 100 records from a company, and I'm considering a workaround to address this. If you're interested, I can share my formulas and the worksheet with you. Please let me know if you’d like to see it!