Trivago Datasets
Utilize our Trivago datasets to enhance your strategies and discover new trends within the travel and hospitality industry
- Available as a custom dataset request
- Get accurate data you can rely on
- Tell us the source, we will get you the data
Available Data Points
We will create a custom Trivago dataset tailored to your specific requirements. Data points may include hotel names, ratings, prices, locations, amenities, user reviews, and other publicly available information from their website.
Trivago datasets tailored to your needs
Подписка
Различные форматы вывода файлов
Наборы данных в формате JSON, ndJSON, CSV или Excel
Несколько вариантов доставки
Масштабируемые данные
Масштабирование без беспокойства об инфраструктуре, прокси-серверах или блоках
Настраиваемые поля вывода
Определите настраиваемые поля вывода для удовлетворения конкретных бизнес-требований
Обслуживание кода
Масштабирование данных
Определение серверов для обработки большого количества запросов данных
Поддержка 24/7
Управление сбором ваших данных персональным менеджером по работе с клиентами
Обеспечение качества данных
Гарантия надежности и точности данных для принятия более эффективных решений
Get structured and reliable Trivago data
Мы предоставим данные, а вы сфокусируйтесь на остальном
Большой объем веб-данных
Благодаря нашим возможностям разблокировки и ротации IP-адресов 24/7 мы обеспечиваем доступ ко всем точкам данных на веб-сайте.
Данные для мгновенного использования
Каждый аспект процесса сбора данных тщательно проверяется в рамках нашего надежного процесса проверки данных.
Беспрепятственный поток данных
Создавайте настраиваемые расписания для автоматизации доставки данных и наблюдайте за их неограниченным потоком в хранилище.
How companies use Trivago datasets
Pricing Optimization
Identify Gaps
Brand Reputation
Гибкое ценообразование от $0.001/record
- Платите только за то, что вам нужно
- Доступные бесплатные образцы
- Сократите расходы, отфильтровав ненужные данные
Get your Trivago data today.
Trivago Dataset FAQs
What data is included in the Trivago dataset?
We will create a custom Trivago dataset tailored to your specific requirements. Data points may include hotel names, ratings, prices, locations, amenities, user reviews, and other publicly available information from their website.
Can I get updates for my purchased Trivago dataset?
Yes, you can get updates to your Trivago dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the Trivago dataset?
Yes, you can purchase a Trivago subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.
In what format will I receive the Trivago dataset?
You can choose one of the following formats: JSON, ndJSON, CSV, or XLSX.
Can I scrape Trivago public data by myself?
If you don’t want to purchase a dataset, you can start scraping Trivago data using our Trivago scraper.
Can I get a data sample?
Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.
Can I request specific data points from the Trivago dataset?
Yes, you can request specific data points from the Trivago dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the Trivago dataset directly into my existing systems?
Absolutely, the Trivago dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.
How Trivago datasets can help me?
Utilize our Trivago dataset for diverse applications to enrich business strategies and market insights. Analyzing this dataset can aid in understanding travel and hospitality industry dynamics and trends, empowering organizations to refine their service offerings and marketing strategies. Access the entire dataset or tailor a subset to fit your requirements.
Popular use cases include pricing optimization, where organizations can define a pricing strategy and create dynamic pricing models by comparing similar accommodations and categories among competitors. Additionally, the dataset helps in identifying gaps in hotel inventory, recognizing increased demand for certain destinations, and spotting travel trends that are gaining popularity with consumers. Furthermore, it supports market strategy optimization by leveraging insights to analyze key travel trends and customer preferences, enhancing overall business decision-making.