We wanted to know how much JavaScript Googlebot could read crawl and index. To achieve that, we built a website - http://jsseo.expert. Each subpage had content generated by different JavaScript frameworks. We tracked server logs, crawling, and indexation to find which frameworks are fully crawlable and indexable by Google.
The JavaScript programming language is an essential tool of web developers today. Websites ship more and more JavaScript to the browser to be more interactive. The more complex client-side JavaScript gets, the more error-prone and fragile the user experience might get. Why do we need to talk about robust JavaScript and how do we achieve it?
By the numbers, JavaScript is a performance liability. If the trend persists, the median page will be shipping at least 400 KB of it before too long, and that’s merely what’s transferred. Like other text-based resources, JavaScript is almost always served compressed—but that might be the only thing we’re getting consistently right in its delivery.
Don’t worry, this isn’t YAMT (Yet Another Monad Tutorial ). This is a practical post about a code smell that afflicts everyday code, and about an idiom that eliminates that smell. It just so happens that this idiom corresponds to one of the uses for monads in Haskell, but that’s just theory behind the practice, and I’ve saved the theory for the end.
Can Google properly crawl and index JavaScript frameworks?
Robust Client-Side JavaScript – A Developer’s Guide · molily
Responsible JavaScript: Part I · An A List Apart Article
Monads on the Cheap I: The Maybe Monad
GitHub - goldbergyoni/nodebestpractices: The Node.js best practices list (January 2021)