
Hotels.com
Booking.com
Agoda
Airbnb
Expedia
KAYAK
Tripadvisor
trivago
CoffeeScript
Octoparse
Diggernaut
eScraper
Agenty
Typescript
JavaScript
artoo.js
Hotels.com
CoffeeScriptCoffeeScript may be recommended for developers maintaining legacy CoffeeScript projects, or for those who prefer its syntax over JavaScript and are working on small projects. It might also be useful for educational purposes to understand how language features influence each other.
Based on our record, Hotels.com seems to be a lot more popular than CoffeeScript. While we know about 527 links to Hotels.com, we've tracked only 28 mentions of CoffeeScript. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
So which domains does this work for? Because it doesn't work with: https://hotels.com/ https://trivago.ca/ https://www.ca.kayak.com/ http://agoda.com/. - Source: Hacker News / about 1 year ago
In the wild: "Have a question?" feature on Hotels, "QnaBot" on Amazon. - Source: dev.to / almost 2 years ago
I use both hotels.com and also booking.com mostly for booking accomodation but its also 100% worth using trivago site to search and see if anywhere else has the same hotel cheaper (This has saved me loads in the past) its not a great site I find for searching hotels in a region, Use hotels and booking for that then use trivago to price comparison it. Source: over 2 years ago
To answer a couple of your questions, there are plenty of roadside motels near the National Parks. I usually use hotels.com or google to determine which chains are where and book directly with the hotel. Source: over 2 years ago
Search on hotels.com or tripadvisor or other places to find things in your price range. You might have to stay outside of Manhattan, and before you book make sure to research commute times from the potential hotels to the places you want to visit. Source: over 2 years ago
Not literally. And I would hardly say it was a matter of language superiority. I love Ruby myself. But Github was a lot simpler when it was still just a Rails app. But Rails was SSR by default, and most of the frontend was just Embedded Ruby (ERB) template files all over the place. And way back when, it was even relatively common to use Javascript supersets like CoffeeScript[1] and Opal[2]. The latter being Ruby... - Source: Hacker News / about 1 month ago
Surely coffeescript would have been more appropriate? [0]: https://coffeescript.org/. - Source: Hacker News / 6 months ago
My personal take is this would be like JavaScript adopting an optional Coffeescript[1] syntax. It's so different that it seems odd to make it an option vs a new language, etc. [1] https://coffeescript.org/#introduction. - Source: Hacker News / 7 months ago
JS isn't perfect, but it's good enough. And there is ongoing effort to make it even better. Also, many other languages compile to JS (without WASM). Notably: - https://www.typescriptlang.org/ - https://coffeescript.org/ - https://clojurescript.org/ - https://www.transcrypt.org/ I wrote https://multi-launch.leftium.com, which is only 6% JS. The majority is Svelte (65%) + TypeScript (27%). ( - Source: Hacker News / over 2 years ago
As a front-end web developer, do you still use CoffeeScript or jQuery? Unlikely, as TypeScript, ES/TC39 and Babel (and the retirement of Internet Explorer thanks to @codepo8 and his EDGE team) have helped to transform JavaScript into some kind of a modern programming language. - Source: dev.to / over 3 years ago
Booking.com - Find your next stay. Search deals on hotels, homes, and much more...
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
Agoda - Smarter hotel booking just got smarter.
Diggernaut - Web scraping is just became easy. Extract any website content and turn it into datasets. No programming skills required.
Airbnb - Book unique places to stay and things to do.
eScraper - eScraper is an eCommerce data scraping tool that collects data from multiple sites and prepares a relevant .csv or excel file with all product info for your stores, whether its, PrestaShop, Magento, WooCommerce, or Shopify store.