One of the founders of ParseHub here. Not quite. Sikuli tries to figure out where things are by doing a visual match. This works very well for things like auto

One of the founders of ParseHub here. Not quite. Sikuli tries to figure out where things are by doing a visual match. This works very well for things like automating applications or sites where page elements are fixed (e.g. finding an option in a menu or using a search engine). But it works terribly when trying to overlay semantic structure on dynamically-generated data. For example, it has no way of knowing that a list of movies is split up on multiple pages, with each movie having multiple genres, a cast, and multiple reviews, each of which has a rating and an author. There's also the additional drawback that it is hard to parallelize things in Sikuli (you would need heavyweight vms, and there are no obvious "breaks" in the flow). So doing something at scale is not feasible. With ParseHub, one of the goals is to make it easy to express relationships (and we think we've done a really good job). We also automatically figure out how to split a job up across an entire fleet of servers. Hope that offers some insight. Email me at serge@parsehub.com if you have any other questions.