I need to scrape a directory site with hundreds of listings per page. Usually I have to manually inspect the page, find the container div, figure out the item div, and then map out the selectors for the title, image, and link. It takes forever.
Is there a faster way to map out these datasets?
Absolutely. You shouldn’t have to manually map out standard grids and lists anymore.
RTILA X includes a repeating pattern auto-detector. When our analyzer runs on a page, it scans all containers (div, ul, tbody, etc.) and looks for sibling elements that share the same tag names and “safe” CSS classes. If it finds a container where the majority of children match a specific signature, it automatically flags it as a dataset.
It will instantly suggest the item_selector and automatically map out the properties (titles, links, images) by looking at the child nodes. You just review the suggested schema and hit save. Turns a 20-minute manual mapping job into a 5-second click.
Absolutely. You shouldn’t have to manually map out standard grids and lists anymore.
RTILA X includes a repeating pattern auto-detector. When our analyzer runs on a page, it scans all containers (div, ul, tbody, etc.) and looks for sibling elements that share the same tag names and “safe” CSS classes. If it finds a container where the majority of children match a specific signature, it automatically flags it as a dataset.
It will instantly suggest the item_selector and automatically map out the properties (titles, links, images) by looking at the child nodes. You just review the suggested schema and hit save. Turns a 20-minute manual mapping job into a 5-second click.