Skip to main content

Price Comparison API — A Transparent Way to Drive Direct Bookings

The past five years have seen a relatively new product category hit the market for hotels: price comparison websites. This sudden proliferation has come hand in hand with the increasing move to drive direct bookings. As OTAs consolidate, many hotels feel constrained by high third-party commission rates, and the benefits of a book direct strategy are more widely understood.

How do price comparison websites work? What are the benefits to your hotel of using one? Can you make such websites?

The premise behind price check widgets is simple: when placed on a hotel’s website, it gives guests a clear, immediate way to see the price differences between the hotel’s own site and the price on various OTAs. Ideally, the guest should see that the hotel’s own price is equal to or lower than that of any third-party site. This doesn’t always happen, but it’s up to the hotel to ensure that their direct rates are better or the same as any third-party rates (there are a few widgets that will help you out with this — read on to discover which).
This encourages guests to make their booking directly. However, it also benefits the guest: it saves them time shopping around, assures them they’re getting the best deal, and gives them direct contact with the hotel. This in turn gives the guest more flexibility in adjusting their reservations, and builds loyalty.

Now, coming back to the question-”Can you make such websites”. Our answer would be yes with our price comparison API you can make it possible.


This API lets you compare hotel room prices from more than 200 websites like agoda.com, booking.com , hotels.com,amoma.com,etc. Response will consist of top 3 vendors along with the best vendor. Address , reviews, ratings , features, etc are the part of JSON response. This API is simple to implement so you can keep smiling. Our database is regularly updated to reflect new changes in Hotel prices and availability. Our API quickly responds to your queries so your app doesn’t lags. Using our API, you can just focus on your user experience. We take care of the backend. Your productivity is our responsibility.

Conclusion

When you are developing a book direct strategy, everything that can be done should be done to get guests on your site and keep them there to book. Hotel technology companies know this, so watch this space! It’s likely that the market will open up even further than it has in such a short span of time, and it will be interesting to watch which new startups will rise and which will fall.

Comments

  1. UnknownAugust 27, 2018 at 8:38 AM

    These hotel comparison sites have most of their sales through third party affiliates and they have to pay them commission. The book direct sales are quite low as compared to the sales they get from third parties and that's how this market works in my opinion.

    AMOMA.com Discount Codes

    ReplyDelete

Post a Comment

Popular posts from this blog

30 Amazing Machine Learning Projects for the Past Year (v.2018)

For the past year , we’ve compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0.3% chance). This is an extremely competitive list and it carefully picks the best open source Machine Learning libraries, datasets and apps published between January and December 2017. Mybridge AI evaluates the quality by considering popularity, engagement and recency. To give you an idea about the quality, the average number of Github stars is 3,558. Do visit our Hotel price comparison api which compares more than 200 hotel websites to get you the best possible price of your dream hotel. Python Projects of the Year (avg. 3,707 ⭐️): Here (0 duplicate) Learn Machine Learning from Top Articles for the Past Year: Here (0 duplicate) Open source projects can be useful for data scientists. You can learn by reading the source code and build something on top of the existing projects. Give a plenty of time to play around with Machine Learning projects you may
265 comments
Read more

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

Over the past few months, I have been collecting AI cheat sheets. From time to time I share them with friends and colleagues and recently I have been getting asked a lot, so I decided to organize and share the entire collection. To make things more interesting and give context, I added descriptions and/or excerpts for each major topic. This is the most complete list and the Big-O is at the very end, enjoy… If you like this list, you can let me know  here Neural Networks Neural Networks Cheat Sheet Neural Networks Graphs Neural Networks Graphs Cheat Sheet Neural Network Cheat Sheet Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot Code Snippets and Github Included chatbotslife.com Machine Learning Overview Machine Learning Cheat Sheet Machine Learning: Scikit-learn algorithm This machine learning cheat sheet will help you find the right estimator for the job which is the most difficult part. Th
87 comments
Read more

Building a Game using JavaScript : Part-1

Introduction I really wanted to write a tutorial about a game technology I like to use, so here it is. In this story, we will start making a little shoot’em up game with PixiJS, a really simple and cool Javascript library. What we are going to do exactly is to make a spaceship able to move and shoot, enemy waves coming through and a beautiful animated background with moving clouds. The first part (this story) will focus on the background. Ready guys? Let’s nail it! Getting started Let’s start by setting up our project: I uploaded a code structure already set so we are all working with the same base. However if you want to make it yourself, I put a picture of my folder just below : Click here to download the starter project Project folder structure We will need a local server to run the game: I invite you to download WAMP if you’re working with Windows, or MAMP for macOS, they are free and easy to use. Let’s put your game folder in the server one ( htdo
54 comments
Read more