video1.0<iframe src="https://www.loom.com/embed/f5550e8ea3b74a59bb639606dfc111e1" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/f5550e8ea3b74a59bb639606dfc111e1-9c968b36ea7983b5.gif147.652Hey there! In this video, I demonstrate how to utilize collision prompts to scrape social media URLs like YouTube or Instagram to extract information such as full names, descriptions, and latest video titles. By providing clear steps and examples, you can guide the collision to gather the desired input effectively, enhancing accuracy. Remember to offer various examples to help the model comprehend your search criteria better. Specific instructions and multiple examples are key to successful scraping for various use cases. Let's dive in and optimize our scraping process with Declegion!