Booking Dataset – Property & Travel Data
- Clean property data
- Availability insights
- Market-ready dataset
Get a Booking dataset built for faster travel market decisions, with property listings, rates, availability, reviews, ratings, and location data delivered in one ready-to-use format.
Booking Data Organized Into Usable Records
Property Information
- Property name
- Property type
- Description
- Star rating
- Property URL
- Accommodation details
Location
- Country
- City
- Address or area
- Coordinates, if available
- Distance to landmarks
- Neighborhood or region
Pricing & Availability
- Room rates
- Available dates
- Room types
- Occupancy options
- Taxes and fees, if available
- Cancellation details, if available
Reviews & Ratings
- Guest rating
- Review count
- Review text, if needed
- Rating categories
- Recent review dates
- Sentiment signals, if in scope
Amenities & Room Details
- Property amenities
- Room amenities
- Breakfast options
- Parking information
- Pet policy, if available
- Check-in and check-out details
Dataset Metadata
- Source URL
- Last checked date
- Property ID
- Search parameters
- Data checks
- Delivery format and destination
use cases
Price Benchmarking
When prices on Booking.com change from date to date, manual checking no longer gives the full picture. DataOx collects booking.com data into a booking dataset with hotel pricing data and hotel availability data, so the team can see which properties are becoming more expensive, where prices are lower than the market, and when it is worth changing the pricing strategy. Booking.com has millions of accommodation listings, so it is a strong source for market comparison.
Availability Monitoring
Sold-out dates often say more than prices themselves. If hotel availability data shows that rooms are disappearing quickly in a certain city or on certain dates, the team can see demand, a seasonal jump, or the impact of an event earlier. DataOx turns booking.com data into a regular booking dataset so these signals do not get lost on separate pages. Booking.com separately highlights rates and availability as an important part of property management.
Market Research
Before launching in a new city, the team needs to quickly understand how many properties are there, what the prices are, which areas are strong, what ratings competitors have, and where there is a free niche. A booking dataset gives the team hotel pricing data, hotel availability data, reviews, ratings, location data, and property details in one place, so the market can be evaluated not “by eye,” but through structured records. UN Tourism uses tourism accommodation data to analyze demand and market capacity.
Revenue Intelligence
A revenue team cannot wait until market changes become obvious. DataOx collects booking.com data on competing properties and creates a booking dataset with hotel pricing data, hotel availability data, room types, ratings, and property updates. This helps see when competitors raise rates, when availability drops, and when a promo or price change may be needed faster. For this, it is especially important to regularly track rates and availability.
Review & Positioning Analysis
Sometimes the problem is not the price, but the fact that a competitor looks more convincing: a better rating, more reviews, stronger amenities, or a better location. A booking dataset combines booking.com data, reviews, ratings, property details, hotel pricing data, and hotel availability data, so the team can see why some properties sell better and what should be improved in their own offer. Booking.com emphasizes the role of verified guest reviews in trust toward properties.
Businesses we serve
Delivery schedule
Turn Hotel Noise Into Clear Rows
Booking.com is full of useful signals, but they are scattered across pages. A booking dataset turns booking.com data into clear records your team can sort by hotel pricing data, hotel availability data, ratings, location, and dates.
Data Delivery Formats
Booking Data for Your Workflow
DataOx delivers your Booking dataset in a format and structure that fit your team’s existing tools and workflows.
CSV
CSV
Excel (XLSX) / Google Sheets
Excel
JSON
JSON
API Integration
API
Database Direct
Database
Custom
Custom
Why choose DataOx
Data you can rely on
Custom Solutions
Change Management
Cost Efficiency
Security
Unlock market insights with our Booking dataset
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what our clients say about us
I’ve worked with Vladislav and DataOx twice now and have been impressed both times. They don’t just do everything they committed to do — on time and on budget — but they go above and beyond. On this second project, they showed initiative and added something they suspected I would want. They were right. I cannot recommend him and them any more enthusiastically. I’m a big fan.
March 13, 2026
We worked with the DataOx team on a complex internal project that involved building a custom software solution with Slack Bot integration, sophisticated server-side logic, and automated API workflows. The system needed to fetch, process, and store data in an intermediate database, and—only if specific conditions were met—push that data through additional APIs to our target software. It was no small task.
So far, everything is running flawlessly, and we couldn’t be more satisfied. Their communication was consistently sharp, fast, and proactive—so fast, in fact, we sometimes had to catch up with them! Whether it was refining a feature, squashing a bug, or adjusting requirements on the fly, the team was always on it.
What really stood out was the professionalism: we had a dedicated, experienced project manager who kept everything aligned and moving smoothly. DataOx truly listens, understands your needs, and delivers high-quality work with precision.
If we could give 10 stars, we would. Highly recommend this outstanding team—and we’re definitely looking forward to working with them again!
March 13, 2026
Prompt. Got Job Done exactly how we wanted. Communicated clearly with the team about expectations and deadlines.
March 13, 2026
High Quality, fast data scraping from the team at DataOx. Very communicative and always proactive in understanding requirements before starting the work. Used multiple times, and will be using in the future!
March 13, 2026
Both the quality and the speed of delivery were awesome, and the communication along the way with our project manager and sales leader was perfect. They were both good at eliminating ambiguity in our requirements which resulted in a delivery we are very happy with.
March 13, 2026
I worked with DataOx on a data scraping. everything was done on time and with high quality. Vladislav and his team showed a high level of professionalism and attention to detail. I recommend DataOx to anyone looking for reliable specialists in web scraping!
March 13, 2026
These guys are simply the greatest. They are timely and accurate in their work, they communicate quickly, and I feel they genuinely understand and care for our needs. Whatever we have asked for, they have delivered. They made us a web scraper and automated many processes for our webshop. We started working together with Andrew and Bogdan in November 2022, and they are a delight to work with. Bogdan as our project leader, has been great! We will continue to work with DataOx for our projects.
March 13, 2026
FAQ: common questions about DataOx Booking datasets
What decisions does a booking dataset help make?
A booking dataset helps not just look at Booking.com pages, but see the market in numbers: which properties are becoming more expensive, where availability is dropping, which areas have strong ratings, where there are more competitors, and which dates look peak. The team can use booking.com data, hotel pricing data, and hotel availability data for pricing, revenue management, market research, competitor tracking, BI, or internal travel tools.
Why is it important to collect prices together with availability?
Separately, hotel pricing data shows how much a room costs, but does not explain the full situation. If prices are combined with hotel availability data, the team sees whether the price is high because of demand, season, an event, sold-out dates, or weak competition. Such a booking dataset helps better understand when the price is truly competitive and when the market is already changing.
What parameters affect booking.com data?
Booking.com data can be affected by travel dates, number of guests, room type, city, area, currency, language, search filters, rating, property type, and cancellation rules. That is why DataOx agrees on these parameters before collection, so the booking dataset matches the client’s real scenario, not a random search result.
How often should hotel pricing data be updated?
The update frequency depends on the task. For general market research, weekly or monthly collection may be enough. For revenue intelligence, competitor monitoring, seasonal demand, or event tracking, it is better to update hotel pricing data and hotel availability data more often. DataOx can set up a regular booking dataset according to the required schedule.
How does DataOx help avoid comparing the “wrong” properties?
It is easy to make a mistake in travel data: a hotel in the center, apartments on the outskirts, and a guest house near the train station cannot always be compared directly. DataOx can structure booking.com data by property type, location, rating, amenities, room type, price range, and availability, so the team compares similar properties with each other instead of mixing different segments in one analysis.
How does DataOx create a booking dataset?
First, DataOx agrees with the client on markets, dates, property types, required fields, update frequency, and delivery format. Then the team collects booking.com data, structures it into a booking dataset, checks the records, prepares a sample, makes edits after feedback, and sets up the final delivery. Learn more about the process: Data Collection Services.
Can we get raw booking.com data?
Yes. Some clients need raw booking.com data for their own models, checks, or internal processing. Others need a prepared booking dataset with normalized fields, metadata, data checks, and delivery rules. DataOx can deliver the data in the form that best fits your workflow.
How can the team use the booking dataset after delivery?
After delivery, the booking dataset can be uploaded into a BI dashboard, pricing tool, database, CRM, internal system, or analytical model. The team can filter properties by city, date, price, availability, rating, reviews, or location, build reports, and track changes without manually reviewing Booking.com. Delivery options: Data Delivery Services.
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get a free consultation
Fill out the form — we’ll get back to you with options tailored to your needs.
what happens next
We review your goals and get in touch to clarify scope
Your privacy is a priority — NDA available upon request.
You receive a clear proposal with timeline, budget, and delivery format.
Once approved, we start building your data pipeline.
contact us
Let’s find the best solution for your data needs.
get a free consultation
Fill out the form — we’ll get back to you with options tailored to your needs.
what happens next
We review your goals and get in touch to clarify scope
Your privacy is a priority — NDA available upon request.
You receive a clear proposal with timeline, budget, and delivery format.
Once approved, we start building your data pipeline.
contact us
Let’s find the best solution for your data needs.