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.

Discuss your needs

No Manual checking

Stop wasting hours on Booking pages. Get property, rate, availability, and review data ready for analysis.

Better travel decisions

Use Booking data to compare markets, track competitors, find gaps, and react faster.

Data That fits your workflow

Receive the dataset in CSV, JSON, Parquet, API, Google Sheets, database, or your internal system.

Booking Data Organized Into Usable Records

DataOx turns Booking pages into structured property records your team can filter, compare, export, and use in pricing, travel research, BI, or internal workflows.

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.

Booking.com data for hotel pricing and availability analysis.

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

Small agencies Medium-sized companies Enterprises

Delivery schedule

Real-time Daily Weekly Monthly Custom On demand

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.

Discuss my needs

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

Excel (XLSX) / Google Sheets

Excel

JSON

API Integration

API

Database Direct

Database

Custom

Python web scraping – Web scraping with Python for pricing and inventor

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Let’s talk

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Let’s talk

Why choose DataOx

Data you can rely on

Custom Solutions

DataOx builds the process and dataset around your task instead of making you adapt to a ready-made product.

Change Management

When sources, fields, or your requirements change, DataOx updates the process without interrupting operations.

Cost Efficiency

You pay for the data volume and work you need, not for features you do not use.

Security

Project data and requirements are protected by NDAs, restricted access, and agreed working rules.

Unlock market insights with our Booking dataset

GET A QUOTE

Web scraping services for enterprise data extraction and custom scraping solutions with real-time delivery

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.

jeff leitner

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!

ilia sokolovskiy

March 13, 2026

We’re a UK based operation, and have worked on a couple of projects with DataOX over the last two years. I’ve been impressed with every project, as they’ve been delivered to the spec I’ve requested, alongside all the changes I asked for along the way.

I was initially concerned about whether there would be a language barrier, but the developers, business leads and representatives of the company communicate in excellent English.

We’ll continue to work with DataOX on projects in the future, and I’d highly recommend them to anybody reading this!

andrew napier

March 13, 2026

Prompt. Got Job Done exactly how we wanted. Communicated clearly with the team about expectations and deadlines.

mike goetsch

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!

andrew haynes

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.

josh albrechtsen

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!

olim rakhmatov

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.

petter trønsdal

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.