We collect hotel rates, availability, reviews and property details - plus flights, car rentals and tours - from booking platforms and travel sites, and deliver one clean feed for revenue management, rate parity and market analysis.
Plans from €169/month · Free project assessment · Reply within 1 business day
Online Travel Agencies (OTAs)
Travel Aggregators
Hospitality Chains and Hotels
Airports and Airlines
Travel Analytics Companies
Tour Operators
Travel Tech Startups
Market Research Agencies
Investment and Consulting Firms
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
Hotel data scraping collects public rates, availability, room types, reviews and property details from booking platforms and hotel sites, for the dates, lengths of stay and markets you choose. Revenue managers use it for rate shopping against their competitive set, distribution teams to check rate parity across channels, and analysts to track new supply, occupancy signals and guest sentiment. The same pipeline covers flights, car rentals, tours and vacation rentals, delivered as one clean dataset on your schedule.
Track prices across hotels, flights, and vacation rentals to make accurate comparisons and keep your offers competitive.
Identify travel demand, seasonal changes, and destination popularity using live data.
Monitor how other airlines, hotels, or agencies price and position their services.
Analyze guest feedback from TripAdvisor, Booking, and other platforms to improve reputation management.
Connect structured travel data directly to your analytics or internal tools for automatic updates and insights.
Find travel agencies, hosts, and property owners offering new listings and potential partnerships.
Every rate is stored with the property, check-in date, length of stay, room type, board and cancellation terms, currency and the platform it came from, so prices stay comparable. Repeat runs add price history and availability changes. The common fields are below.
Expertly customized web scraping services at a fraction of the cost of developing your own software.
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →
Automated scraping of filtered flight ticket data from Opodo.com, including complex on-page interactions for airline and pricing selection.
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Daily scraping of Booking.com services - hotels, flights, car rentals, and attractions - with best-price selection across global destinations.
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Monitoring of real estate listings on funda.nl, pararius.com, rentberry.com, rentola.com, and zimmo.be to support the growth of a European property portal.
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Daily detection of new private property listings in Switzerland on Homegate.ch and ImmoScout24.ch, giving the agency first access to high-value leads.
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Daily monitoring of car listings on car.gr and autoscout24.com, collecting full technical specifications to support a European auto dealer.
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Scraping residential listings from Immobilienscout24.de in Germany and Mallorca, including complete data and resized images.
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We launch your travel data pipelines fast - the scraper is ready in just a few days, with no technical setup required on your side.
Our travel scraper expands with your business, gathering data from multiple sources and organizing it in a flexible database for easy access and analysis.
We use advanced automation to monitor and maintain scrapers, adapt to website changes, and ensure consistent, uninterrupted data flow.
Get large-scale travel data without extra infrastructure or in-house costs - our travel scraper delivers ready-to-use results while keeping your expenses low.
You don’t need developers or maintenance teams - we handle setup, extraction, updates, and delivery from start to finish.
Get well-organized datasets created with reliable parsing methods, ready for direct use in your systems.
Learn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
It is the automated collection of public hotel data - rates, availability, room types, reviews, ratings and amenities - from booking platforms and hotel websites. A scraper checks the dates and markets you need on a schedule and turns every result into a structured record for rate shopping and market analysis.
Booking.com, Expedia, Hotels.com, Agoda, Airbnb, Vrbo and Tripadvisor for stays and reviews, and Kayak, Skyscanner and Opodo for flights. If your source is not on the list, we assess it before quoting.
We track hotel prices daily for a fixed set of properties, check-in dates and lengths of stay - the most common setup. You get price history, parity gaps between channels and alerts when a competitor changes rates.
Yes. Flight fares, schedules and fare rules and car rental prices by location and vehicle class run through the same pipeline. One of our projects collects flight pricing at scale from Opodo with the full filter logic.
Each record keeps the check-in date, length of stay, guests, room type, board, cancellation terms and currency exactly as shown, and we can add converted prices. That keeps rates comparable across platforms and markets.
Yes. We collect only publicly available data - everything a travel platform shows to visitors: hotel rates by date and room type, flight fares, car rental prices, availability and reviews - and we collect it legally, without logging in. Personal data in reviews is handled under GDPR.
Yes. Reviews come with rating, date, traveller type where shown and the text, linked to the property, so you can track sentiment against competitors over time.
As CSV, Excel, JSON or XML, by SFTP, Amazon S3, Google Drive or email, as a JSON feed, or through our API into your revenue management system or data warehouse. An MCP server is available on request.
Plans start at 169 EUR per month and depend on the number of properties, dates, platforms and the refresh frequency. Project assessment is free, and a sample dataset lets you check the fields first.
Yes. We sign NDAs and data processing agreements before a project starts.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
