Hotel data scraping — DataOx team extracting repository data

Hotel Data Scraping

Up to 89% of users visit OTAs and don’t complete their booking. Most of them compare prices and conditions and then simply leave. But the problem is not the price itself, whether it is too high or too low. The problem is that you don’t see how your offer looks at the moment of choice: who you are competing against and which factors cause you to lose. Hotel data scraping collects signals (positions, prices, availability, reviews) and shows not just the market, but the exact points where you lose revenue.

Hotel data scraping — DataOx team extracting repository data

Hotel Data Extraction: Real-Time Travel Intelligence

Most hotels think they lose because of price. Research shows otherwise: 81–89% of bookings are abandoned due to poor UX, lack of trust, or other non-obvious factors, not the price itself. This means you can be cheaper and still lose. In practice, it looks like this: a hotel keeps a competitive price but drops in rankings due to worse reviews or limited availability, and as a result, loses bookings. Hotel data scraping helps you spot these factors in real time and fix them before the customer makes a decision.

Data sources icon - web scraping jobs from multiple job board platforms

Data Sources

TripAdvisor, Airbnb, Booking.com, Yelp, Hotels.com, Expedia, Vrbo, Agoda, Kayak, Priceline, restaurant review sites, hotel aggregators, vacation rental platforms, travel forums, dining reservation systems, local tourism boards, attraction ticketing sites, and more.

Implementation timeline icon - custom data scraping project delivery schedule

Implementation timeline

Two to three weeks, depending on the volume and complexity of the data sources. You can get in touch with our data specialists for a more accurate estimate that is customized for your requirements.

The Benefits of Hotel Data Scraping

Most hotels only analyze completed bookings. But this is just part of the real demand picture. The reasons behind cancellations remain invisible, so it’s unclear where and why customers are lost. Hotel data scraping provides the data needed to uncover this hidden market logic, so you can work not only with outcomes, but with the reasons behind them.

+19%

After implementing data-driven pricing, revenue can increase by ~19%. This result comes directly from working with market data. Without scraping hotel prices, these signals are simply unavailable.

+14%

The occupancy rate increases by ~10–14% when using real-time data. When prices and supply are aligned with the market, previously lost demand is captured.

+20%

The accuracy of decisions and forecasts improves significantly when external data is used. It is this data (demand, availability, competitors) that scraping hotel data collects.

+50x

Companies can update price and market data up to 50 times faster with automated collection. Hotel data scraping provides not just data, but the speed on which competitive advantage is built.

A Reliable Partner For Hotel Data Collection

A Reliable Partner For Hotel Data Collection

DataOx collects hotel data, so you don’t have to manually check platforms one by one. You get updates in one place: prices, availability, and rating changes. The data is constantly updated, so you don’t have to worry about whether it’s up to date and accurate.

Real-Time Price Monitoring

Track Changes And Updates

Monitoring Guest Reviews

Monitoring Competitor Room Availability

Automated Property Data Extraction

Custom Solutions For Hotel Scraping

Real-Time Price Monitoring

Track price changes and fluctuations in real time

Prices change throughout the day, so manually tracking them is time-consuming and difficult. Scraping hotel prices helps you capture these changes in real time. They appear on your dashboards the moment they happen, not hours later.

Real-time pricing

Track short-term discounts

Track demand

Continuous data updates

Notifications about unusual changes

Store historical prices

Track multiple platforms

Track Changes And Updates

Track data as it changes on platforms. Be among the first to respond

Most teams see data, but not when it changes. Hotel web scraping captures updates as events, so you can track exactly what changed and when. You don’t just observe changes, you react to them in time.

Track changes in listings

Detect updates to platform policies

Get alerts for important changes

Access historical data

Track update frequency

Monitoring Guest Reviews

Track reviews to respond to guest feedback

Reviews build up over time. With hotel data collection, you see new reviews as they appear. It becomes easier to spot patterns before they turn into real problems.

Reviews collected daily

Reports on negative mentions

Track competitor ratings

Track sentiment changes

Highlight recurring issues

Notifications about rating drops

Track star ratings

Monitoring Competitor Room Availability

Stay aware of competitor room availability to adjust your strategy

Room availability often says more than price. When competitors run out of rooms, it usually means demand is shifting. Hotel web scraping collects data that helps you understand these changes.

Regular availability checks

Track top deals

Visible booking trends

Track peak periods

Compare properties

Track cancellations

Saved availability history

Automated Property Data Extraction

Get hotel data in a format that works for you

Listings are unstructured by default. Hotel web scraping collects this data as is or prepares it in the format you need, depending on your workflow.

Hotel information collection

Image collection

Location data

Bulk export available

API or database delivery

Scheduled updates

Custom Solutions For Hotel Scraping

Your scraping requirements come first

All scraper setups are built around your business needs, whether it’s niche platforms or something like web scraping Google Hotels.

Custom-built scrapers

Regional platform coverage

Support for specific sources

Multi-source data aggregation

Integration with your stack

Scalable customization

Ongoing support

A Reliable Partner For Hotel Data Collection

DataOx collects hotel data, so you don’t have to manually check platforms one by one. You get updates in one place: prices, availability, and rating changes. The data is constantly updated, so you don’t have to worry about whether it’s up to date and accurate.

Real-Time Price Monitoring

Track price changes and fluctuations in real time

Prices change throughout the day, so manually tracking them is time-consuming and difficult. Scraping hotel prices helps you capture these changes in real time. They appear on your dashboards the moment they happen, not hours later.

Real-time pricing

Track short-term discounts

Track demand

Continuous data updates

Notifications about unusual changes

Store historical prices

Track multiple platforms

Track Changes And Updates

Track data as it changes on platforms. Be among the first to respond

Most teams see data, but not when it changes. Hotel web scraping captures updates as events, so you can track exactly what changed and when. You don’t just observe changes, you react to them in time.

Track changes in listings

Detect updates to platform policies

Get alerts for important changes

Access historical data

Track update frequency

Monitoring Guest Reviews

Track reviews to respond to guest feedback

Reviews build up over time. With hotel data collection, you see new reviews as they appear. It becomes easier to spot patterns before they turn into real problems.

Reviews collected daily

Reports on negative mentions

Track competitor ratings

Track sentiment changes

Highlight recurring issues

Notifications about rating drops

Track star ratings

Monitoring Competitor Room Availability

Stay aware of competitor room availability to adjust your strategy

Room availability often says more than price. When competitors run out of rooms, it usually means demand is shifting. Hotel web scraping collects data that helps you understand these changes.

Regular availability checks

Track top deals

Visible booking trends

Track peak periods

Compare properties

Track cancellations

Saved availability history

Automated Property Data Extraction

Get hotel data in a format that works for you

Listings are unstructured by default. Hotel web scraping collects this data as is or prepares it in the format you need, depending on your workflow.

Hotel information collection

Image collection

Location data

Bulk export available

API or database delivery

Scheduled updates

Custom Solutions For Hotel Scraping

Your scraping requirements come first

All scraper setups are built around your business needs, whether it’s niche platforms or something like web scraping Google Hotels.

Custom-built scrapers

Regional platform coverage

Support for specific sources

Multi-source data aggregation

Integration with your stack

Scalable customization

Ongoing support

Who We Serve

Hotel operations and property data intelligence

Hotel Chains &

Property Managers

Travel booking and pricing data insights

Travel Agencies

and OTAs

Dynamic pricing and revenue optimization data

Revenue Management

Platforms

Strategic hospitality market analytics and reporting

Hospitality

Consultants

Short-term rental and occupancy data intelligence

Vacation Rental

Operators

Scalable travel analytics and structured data feeds

Travel Analytics

SaaS

Destination insights and tourism demand analytics

Tourism Boards

and DMOs

Hospitality market research and competitive intelligence

Hospitality Market

Research

Need Reliable Data Delivery That Scales? Let’s Talk!

From initial data requirements analysis to fully automated delivery pipelines, our team handles the complete data extraction and processing workflow. Stop wasting time on manual data collection and start making data-driven decisions faster.

Discuss my needs
Group 633043 3

Scrape data from any platform, route to your systems

Hotel data on its own is not useful. Until it enters your system, it simply sits on platforms. Instead of wasting time collecting, verifying, and transferring data, DataOx handles the entire process. Data is automatically collected and delivered directly to your tools, so you can use the time you’ve freed up for analysis.

Group 2085664938

TripAdvisor

image 583141 Vectorized

Booking.com

Vector 7

Airbnb

g3744

Expedia

Group 2085664939

Hotels.com

image 583127 Vectorized 1

Yelp

Vrbo 1 1

Vrbo

color default 1

Agoda

Group 2085664940

Kayak

Group 2085664941

Priceline

Zillow data scraping with Google Maps location data

Google Maps

CSV file icon – Data scraping jobs delivered in CSV format for easy spreadsheet analysis

CSV

XLSX file icon – Web scraping job data with Excel file delivery for workforce analytics

XLSX

JSON file icon – Job scraping API providing structured, API-ready data for automation

JSON

XML file icon – Custom web scraping jobs outputting data

XML

Database icon – Web data scraping jobs with direct database integration

Database

CRM icon – Scrape jobs from the internet and integrate data into CRM

CRM

Dashboards icon – Job scraping software feeding dashboards for business

Dashboards

Analytics icon – Web scraping jobs data powering workforce analytics and HR platforms

Analytics

Insights icon – Data scraping jobs delivering actionable insights for business decision making

Insights

API icon – Job scraping API for custom endpoints to extract and automate

API

Email icon – Schedule web scraping jobs with automated email delivery for timely updates

Email

use cases

Market Competitor Analysis

Most hotels analyze only their own performance. But customers don’t choose only on your website.

They compare alternatives across platforms like Booking.com. This is where you can scrape booking data to see how your offer compares. Scraping allows you to see exactly how your offer looks next to competitors: prices, ratings, conditions, and positions. This helps you understand the specific reason why the choice is not made in your favor.

Early Demand Detection

Demand becomes visible not at the time of booking, but much earlier.

Changes in availability, the speed of “sold-out”, and the appearance of promotions are signals that demand is already forming. Scraping allows you to read these signals at an early stage, so you can react before they affect your business processes.

Data Collection Automation

Teams often spend more time collecting and preparing data than analyzing it.

Manual checks, copying, and combining data from different sources slow the process down and create errors. Automated data collection and delivery to your system allow you to start analyzing immediately.

Defining A Demand Gap

The problem isn’t always your competitors. Sometimes you lose bookings even when demand exists.

For example, you may have available rooms, but they are not visible on the platform. Or the price slightly falls out of line with the market. Or a competitor adjusts to demand faster. As a result, the customer chooses another option, even though they could have booked with you.

Scraping helps you spot these situations so you don’t miss revenue opportunities.

Centralized Market Data Management

Data in the hotel business is spread across different systems: PMS, OTA platforms, and review sites.

It is not synchronized and often contradicts itself. Web scraping hotel data brings these sources together into a single system where the data is consistent and can be used for decision-making.

Market Trend Monitoring

The market is constantly changing, but individual shifts are hard to notice without systematic data collection.

Web scraping hotel prices helps you track price patterns and see how they change over time, along with demand and competitor behavior. To reveal those patterns the best way is to use web scraping Google Hotels. This helps you not only react to changes, but also spot trends and act ahead of them.

Hotel data scraping — room rates, guest reviews, and availability from top platforms

Data categories scrape across hotel platforms

Room Rates

Guest Reviews

Availability Status

Star Ratings

Property Amenities

Location Data

Cancellation Policies

Check-in/Check-out Times

Guest Capacity

Price History

Discount Offers

Photo Galleries

Host/Property Details

Booking Conditions

Seasonal Pricing

Analyst reviewing hotel data scraping dataset

8 Years of Uninterrupted Growth: How We Built the Ultimate AI Recruitment Platform from Scratch

Challenge

Discovered as the recruitment automation company needed to develop and scale AI-powered tools for small and mid-sized businesses. The core product – a customizable interview guide generator – required continuous development, enhancement, and strategic technical implementation to stay competitive in the rapidly evolving HR tech market.

Solution

Services delivered

Data Services:

  • Data integration
  • IDP (Intelligent document processing)

ATS (application tracking system) development

Development services:

  • API development
  • Full-stack Custom SaaS development
  • AI-driven behavior automation implementation
  • Continuous platform enhancement and maintenance
  • Advanced onboarding system development
Data engineer working on AI recruitment platform using custom web scraping jobs for talent sourcing
Fletcher Wimbush CEO of discovered.ai using web scraping services and custom data extraction solutions

fletcher wimbush

Founder & CEO

client priority

Team stability and dedicated support – ensuring consistent development team throughout the 8+ year partnership

Results

Platform Scale & Performance:

  • 900K+ candidates in the system with 780K resumes
  • 3.8K active job openings from 20K total posted
  • 2.5K active client companies with 1K new companies added annually
  • 3TB of data storage (AWS S3) supporting massive operations
  • 120K assessments completed in the last year
  • 20K video interviews conducted and processed

CHOOSE YOUR HOTEL DATA SOURCES TO SCRAPE

    TripAdvisor

    TripAdvisor

    Booking.com

    Booking.com

    Airbnb

    Airbnb

    Expedia

    Expedia

    Hotels.com

    Hotels.com

    Yelp

    Yelp

    Vrbo

    Vrbo

    Agoda

    Agoda

    Kayak

    Kayak

    Priceline

    Priceline

    OpenTable

    OpenTable

    Trivago

    Trivago

    Trip.com

    Trip.com

    Hostelworld

    Hostelworld

    Google Travel

    Google Travel

    Custom icon – Web scraping jobs from any specified data source for recruitment or analytics

    Custom

    Get a Quote

    our simple 5-step process

    Getting started with DataOx.

    Step 1

    Send Us a Request

    Choose the Most Convenient Way to Reach Us

    You can contact us through the channel that works best for you:

    Send request illustration
    Contacting DataOx for web scraping services via WhatsApp email or phone for custom data extraction

    Email sales@data-ox.com or any contact button on our website. Our average response time is 2-4 hours during business days.

    Schedule a call directly through our Calendly – the quickest way to discuss your data requirements and project scope.

    Schedule a call directly through our Calendly – the quickest way to discuss your data requirements and project scope.

    WhatsApp for quick questions

    WhatsApp for quick questions or to start the conversation about your project needs.

    Step 2

    Discuss Your Requirements (+ NDA IF NEEDED)

    We Listen to Understand Your Needs

    During our initial conversation, we focus on understanding your specific data requirements, business goals, and expected outcomes. For sensitive projects, we can sign an NDA before diving into details. We ask targeted questions to clarify scope and identify the best approach for your project.

    Contacting DataOx for web scraping services
    Contacting DataOx for web scraping services via WhatsApp email or phone for custom data extraction

    What data you need and from which sources

    Discussing web scraping requirements with DataOx experts for custom data extraction and automated collection

    Your timeline and delivery preferences

    Receiving detailed proposal for web scraping services with timeline scope and pricing for data extraction

    Technical requirements and integrations

    Contract and project kickoff for web scraping services with dedicated team for custom data extraction

    Budget considerations and project scope

    NDA and confidentiality

    NDA and confidentiality (optional)

    Step 3

    Receive Your Proposal

    Clear Scope, Timeline, and Pricing

    You’ll receive a detailed proposal with everything you need to make an informed decision:

    Step 3: Receiving detailed proposal for web scraping services with timeline scope and pricing for data extraction
    Project scope and deliverables

    Project scope and deliverables

    Technical approach and methodology

    Technical approach and methodology

    Timeline with key milestones

    Timeline with key milestones

    Fixed pricing with no hidden costs

    Fixed pricing with no hidden costs

    Data delivery format and schedule

    Data delivery format and schedule

    Step 4

    Contract & Project Kickoff

    Let's Make It Official and Start Building

    Once you approve the proposal, we’ll sign the service agreement and introduce your dedicated project manager. Our team will be assembled and ready to start up to 10 days.

    Step 4: Contract and project kickoff for web scraping services with dedicated team for custom data extraction

    Step 5

    Delivery & Ongoing Support

    Reliable Results and Long-term Partnership

    We deliver your data solution on time, with full documentation and support. Our relationship doesn’t end at delivery – we provide ongoing maintenance and optimization as your business grows.

    Automated data delivery and ongoing support for reliable web scraping services and long-term partnership

    why companies choose dataox for hotel data scraping

    rate changes caught on your schedule

    100% uptime guarantee and stable data delivery with DataOx scraping services

    Your competitor drops prices at 2 a.m. and our scrapers flag it before their first morning booking comes in.

    100% uptime guarantee and stable data delivery with DataOx scraping services

    review spikes tracked the hour they start trending

    Reliable and accurate data delivery through automation and QA

    Five guests mention elevator problems on the same Tuesday and you know about the pattern before your maintenance director reads emails.

    Reliable and accurate data delivery through automation and QA

    sold-out properties mapped by neighborhood clusters

    Strategic partnership and proactive problem-solving — DataOx client support

    We show you which hotel blocks in your district hit full occupancy first during peak season.

    Strategic partnership and proactive problem-solving — DataOx client support

    policy shifts logged competitor by competitor

    Scalable web scraping with cost-effective pricing model

    That boutique property down the street just changed their refund terms and your front desk manager sees it in real time.

    Scalable web scraping with cost-effective pricing model

    amenity listings compared side-by-side with your offerings

    Reliable restaurant data scraping with continuous accuracy

    DataOx extracts every pool feature and breakfast option competitors advertise then lines them up against what your property provides.

    Reliable restaurant data scraping with continuous accuracy

    manual work out, automation in

    Extraction runs continuously and your revenue team stays ahead. DataOx executes hotel data scraping operations on schedules that match your pricing cycles.

    Data automation instead of manual work — DataOx core advantage

    trusted by clients who value data security

    For full details, visit our Privacy Policy

    SSL encryption ensures secure data transfers

    SSL Secured

    We follow GDPR-inspired best practices for responsible data handling

    GDPR Ready

    Transparent data use aligned with CCPA principles

    CCPA Aware

    Clear privacy policy and consent-based data collection

    Transparent Data Use

    trusted technologies behind our data solutions

    core languages

    Python logo - Web scraping with Python for custom data solutions

    Python

    Java logo - data scraping company enterprise technology for scalable web scrapers

    Java

    JavaScript logo - custom web scraping services for dynamic web scraping solutions

    Java Script

    web scraping & crawling

    Playwright

    Playwright

    jsoup 1

    jsoup

    Scrapy

    Scrapy

    Selenium logo - data scraping services tool for custom web scraping services

    Selenium

    Puppeteer

    Puppeteer

    data processing & enrichment

    Pandas logo - data scraping company tool for processing extracted structured data

    Pandas

    NumPy logo - custom data solutions for numerical data processing workflows

    NumPy

    Dask logo - scalable web scrapers for large-scale data scraping services

    Dask

    PySpark logo - data scraping services for big data and extract structured data

    PySpark

    OpenRefine logo - data scraping company tool for cleaning extracted structured data

    Open Refine

    GPT API logo - custom data services using AI for tailored data solutions

    GPT API

    Clearbit logo - integrated data services for business data enrichment

    Clearbit

    system integration & apis

    FastAPI

    FastAPI

    Spring Boot

    Spring Boot

    Kafka

    Kafka

    RabbitMQ logo - integrated data services message queue for data delivery pipelines

    RabbitMQ

    REST

    REST

    GraphQL

    GraphQL

    document & ticket automation

    Tesseract

    Tesseract

    pdfminer

    pdfminer

    Camelot

    Camelot

    PDFBox

    2Captcha

    2Captcha

    Amadeus API

    Amadeus API

    Eventbrite API

    Eventbrite API

    custom data visualization

    Plotly

    Plotly

    Streamlit

    Streamlit

    Seaborn

    Seaborn

    Matplotlib

    Matplotlib

    Bokeh

    Bokeh

    Altair

    Altair

    D3.js

    D3.js

    Chart.js

    Chart.js

    Highcharts

    Highcharts

    cloud & delivery infrastructure

    AWS

    AWS

    Docker

    Docker

    GitHub Actions

    GitHub Actions

    Redis

    Redis

    PostgreSQL

    PostgreSQL

    Firebase

    Firebase

    Heroku

    Heroku

    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.

    Photo of jeff leitner

    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!

    Photo of ilia sokolovskiy

    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.

    Photo of mike goetsch

    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!

    Photo of andrew haynes

    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.

    Photo of josh albrechtsen

    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!

    Photo of olim rakhmatov

    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.

    Photo of petter trønsdal

    petter trønsdal

    March 13, 2026

    COMMON QUESTIONS ABOUT HOTEL DATA SCRAPING

    What data can be scraped from hotel platforms?

    Scraping hotel data allows you to collect prices, availability, ratings, reviews, room descriptions, booking conditions, and positions in search results. DataOx collects this data from different platforms and transfers it to your system, so you have a complete picture of the market.

    How to understand that data is no longer relevant?

    In the hotel business, data quickly becomes outdated. For example, prices or availability can change several times a day. If the data is updated once a day, you are already working with outdated information. That’s why DataOx offers flexible update settings for web scraping hotel data, from scheduled intervals to real-time data delivery, depending on your needs.

    Is it possible to track not only data, but also changes?

    Yes, and this is much more useful. It’s not just about knowing the price, but about seeing when and how it changed. DataOx records these changes: when the price increased, when a room became unavailable, or when a competitor changed their conditions. This helps you understand how the market behaves, not just look at the numbers.

    How does DataOx integrate with your systems?

    DataOx doesn’t just collect data. DataOx transfers it directly to your tools: CRM, BI systems, internal analytics platforms, or databases. The data is delivered via API or as files in the format you need (e.g. CSV, JSON). This means you don’t need to manually transfer or process the data. It is ready to use in your business processes.

    Can you collect data from different platforms at the same time?

    Yes, and this is critical. Customers compare offers across multiple platforms like Booking.com, so it’s important to see the full picture. For example, you can scrape booking data to understand how your offer performs. DataOx collects data from several platforms simultaneously and brings it together, so you’re not working with only part of the market.

    What to do if data from different sources doesn’t match?

    This is a common situation: the same offer may appear differently across platforms. DataOx consolidates this data so you can compare it and draw reliable conclusions.

    How to understand why bookings are lost?

    Internal data only shows the fact that a booking was lost. It doesn’t show what the customer saw at the moment of choice. DataOx collects external data to reconstruct this context: prices, competitors, and conditions. This helps you understand the reason and adjust your offer.

    Is it possible to completely eliminate manual work with data?

    Yes, most of it can be automated. Instead of checking platforms and transferring data manually, DataOx collects and delivers it automatically. As a result, your team spends time on analysis, not on data collection.

    How quickly can you start receiving data?

    Initial data can be delivered at early stages after setup. DataOx configures collection and delivery so you can start working with ready-to-use data immediately without additional processing or manual preparation.

      Get A Cost Estimate For Hotel Data

      Please answer a few questions about your data needs, and our experts will get back to you with a custom cost estimate.

      1
      2
      3
      4
      5

      What Type Of Hotel Data Do You Need?

      NEXT

      Which Platforms Do You Need Data From?

      PREVIOUS

      NEXT

      How often do you need data updates?

      PREVIOUS

      NEXT

      How many employees are in your organization?

      PREVIOUS

      NEXT

      Anything else you'd like to add? (optional)

      Required fields

      Preferred way of communication

      Any

      Email

      Zoom/Google Meet

      PREVIOUS

      FINISH

      Just one more step!

      Thanks for sharing your data needs with us! 👋

      You will receive the estimate for your project within 72 hours. It’s non-binding and absolutely free.