State-of-the-art web crawlers fall under two categories: static and dynamic. A static crawler crawls a web page by statically parsing the code on the page and extracting all links to embedded resources. A static crawler is incapable of executing any code, i.e., execute JavaScript, HTML or CSS. A dynamic crawler on the other hand, leverages web browsers (such as Chrome, Firefox) to crawl pages. These browsers enable the crawler to execute code on any web page.

These two categories of crawlers fall on the opposite ends of the performance-fidelity trade-off. A static crawler is highly performant by fails to fetch all the resources, specially the ones fetched by JavaScript execution (resulting in poor fidelity), whereas a dynamic crawler can accurately identify all resources on any web page, achieving perfect fidelity, however results in a very low crawling throughput.

To address this trade-off, we have designed Sprinter, a hybrid web crawler, that combines the best of dynamic and static crawling. The key to Sprinter's design is its ability to memoize computation results from loads of pages performed using a browser, which allows Sprinter to crawl majority of pages statically while ensuring perfect fidelity. Our results show that Sprinter performs 5x faster than browser-based crawling, while ensuring perfect fidelity while crawling a corpus of 50k pages.