Functions of Booking Data Scraper
Unlock comprehensive data extraction from Booking, a premier platform for global accommodations, using our Booking Data Scraper. Overcoming Booking.com limits, this tool efficiently scrapes 1,000+ listings simultaneously. For streamlined extraction of basic details, leverage our Booking Scraper. Elevate your booking data scraping capabilities effortlessly.
List of Data Fields from Booking Data Scraper
A Booking.com Scraper can extract various data fields to provide comprehensive information about accommodations. Here's a list of common data fields that can be retrieved:
- Name: The name of the accommodation.
- Location: Address or geographical coordinates.
- Price: Cost of accommodation.
- Rating: User-generated ratings.
- Reviews: Total reviews for the accommodation.
- Facilities: Amenities offered by the accommodation.
- Room Types: Different types of rooms available.
- Availability: Dates when the accommodation is available.
- Description: Detailed information about the accommodation.
- Images:Visual representation of the accommodation.
- Property Type: Categorization (hotel, apartment, resort, etc.).
- Contact Information: Phone number, email, or website.
- Policies: Rules and regulations for guests.
- Stars/Rating: Official rating or classification.
- Distance from City Center: Proximity to the city center.
- Map Coordinates: Geographical coordinates of the accommodation.
- Free Cancellation: Information on cancellation policies.
- Payment Options: Accepted payment methods.
- Wi-Fi Availability: Whether Wi-Fi is provided.
These data fields offer a comprehensive overview of accommodations, enabling users to make informed decisions based on their specific requirements and preferences. Keep in mind that the availability of certain fields may vary depending on the specific Booking.com Scraper tool and its capabilities.
Input
Utilize our Booking Data Scraper for input by specifying a Destination or providing particular URLs using Booking website. Configure a scraper to extract desired content such as type of property, price range, minimum rating, language, currency, etc. Set check-in/check-out date ranges and define the number of desired results for efficient booking data scraping.
How to Extract Hotels Data on Booking.com?
While the Booking Data Scraper extracts maximum 1,000 data results at once, the "Find over 1000 data results" closure allows exceeding this limit. However, in such cases, preventive filters in the URLs won't apply. For detailed pricing or room information, specify check-in and check-out dates as Booking.com reveals complete details only with date indications. Note that Booking.com might suggest hotels outside the expected region, providing additional results beyond the initial search. Leverage the Booking Data Scraper for comprehensive and flexible data extraction.
Output Example
Discover the extracted Booking.com listings organized seamlessly in a dataset accessible through a Storage tab. The result is thoughtfully structured like a table, ensuring optimal viewing convenience and simplifying data analysis. This organized format facilitates easy exploration and extraction of key details such as property types, prices, ratings, and more. Whether you're navigating accommodation options or conducting in-depth research, the Booking Data Scraper output provides a comprehensive and user-friendly overview, streamlining the process of extracting valuable insights for informed decision-making in the dynamic realm of travel and hospitality.
Effortlessly customize and download your extracted data by previewing all fields and choosing from a range of formats, including Excel, JSON, CSV, HTML table, or XML. This flexibility ensures seamless integration into your preferred tools or systems. Below, you'll find similar dataset represented in JSON format, offering a structured and comprehensive overview. Whether for in-depth analysis, reporting, or integration into various applications, the Booking Data Scraper empowers users with a diverse array of options for extracting and utilizing valuable information.
[
{
"order": 24,
"url": "https://www.booking.com/hotel/us/three-bedroom-rental-new-york.html?selected_currency=USD&changed_currency=1&lang=en-us&group_adults=2&no_rooms=1&checkin=2023-09-01&checkout=2023-09-02&nflt=price%3DUSD-0-999999-1",
"name": "Three Bedroom Rental",
"type": "apartment",
"description": "Located a 13-minute walk from Central Park and 0.6 miles from Strawberry Fields, Three Bedroom Rental offers accommodations with a kitchen in New York. The property is a 4-minute walk from the Lincoln Center and features free Wifithroughout the property./n/nThis 3-bedroom apartment will provide you with a flat-screen TV, air conditioning and a living room./n/nPopular points of interest near the apartment include Carnegie Hall, Broadway Theatre and Museum of Modern Art. The nearest airport is LaGuardia Airport, 7.5 miles from Three Bedroom Rental.",
"stars": null,
"price": 1.118,
"currency": "US$",
"rating": 10,
"reviews": 1,
"breakfast": null,
"checkIn": "From 4:00 PM",
"checkOut": "Until 11:00 AM",
"location": {
"lat": "40.7744900",
"lng": "-73.9829649"
},
"address": {
"full": "207 Columbus Avenue, Upper West Side, New York, NY 10023, United States of America",
"postalCode": "NY 10023",
"street": "207 Columbus Avenue",
"country": "USA",
"region": "New York State"
},
"image": "https://cf.bstatic.com/xdata/images/hotel/max1024x768/415624316.jpg?k=e36c46833a2d526139f6a1211e9ef4a4ec19c55904affcdc214a15ce32877701&o=&hp=1",
"rooms": [
{
"available": true,
"roomType": "Three-Bedroom Apartment",
"bedType": "Bedroom 1: 1 queen bed Bedroom 2: 2 bunk beds Bedroom 3: 1 bunk bed Living room: 1 sofa bed",
"persons": 2,
"price": 1.118,
"currency": "US$",
"features": [
"",
"Private kitchen",
"Air conditioning",
"Flat-screen TV",
"Free WiFi",
"Kitchen",
"Heating"
]
},
{
"available": true,
"roomType": "Three-Bedroom Apartment",
"bedType": "Bedroom 1: 1 queen bed Bedroom 2: 2 bunk beds Bedroom 3: 1 bunk bed Living room: 1 sofa bed",
"persons": 2,
"price": 1.209,
"currency": "US$",
"features": [
"",
"Private kitchen",
"Air conditioning",
"Flat-screen TV",
"Free WiFi",
"Kitchen",
"Heating"
]
},
{
"available": true,
"roomType": "Three-Bedroom Apartment",
"bedType": "Bedroom 1: 1 queen bed Bedroom 2: 2 bunk beds Bedroom 3: 1 bunk bed Living room: 1 sofa bed",
"persons": 3,
"price": 1.204,
"currency": "US$",
"features": [
"",
"Private kitchen",
"Air conditioning",
"Flat-screen TV",
"Free WiFi",
"Kitchen",
"Heating"
]
},
{
"available": true,
"roomType": "Three-Bedroom Apartment",
"bedType": "Bedroom 1: 1 queen bed Bedroom 2: 2 bunk beds Bedroom 3: 1 bunk bed Living room: 1 sofa bed",
"persons": 3,
"price": 1.295,
"currency": "US$",
"features": [
"",
"Private kitchen",
"Air conditioning",
"Flat-screen TV",
"Free WiFi",
"Kitchen",
"Heating"
]
},
{
"available": true,
"roomType": "Three-Bedroom Apartment",
"bedType": "Bedroom 1: 1 queen bed Bedroom 2: 2 bunk beds Bedroom 3: 1 bunk bed Living room: 1 sofa bed",
"persons": 4,
"price": 1.289,
"currency": "US$",
"features": [
"",
"Private kitchen",
"Air conditioning",
"Flat-screen TV",
"Free WiFi",
"Kitchen",
"Heating"
]
},
{
"available": true,
"roomType": "Three-Bedroom Apartment",
"bedType": "Bedroom 1: 1 queen bed Bedroom 2: 2 bunk beds Bedroom 3: 1 bunk bed Living room: 1 sofa bed",
"persons": 4,
"price": 1.381,
"currency": "US$",
"features": [
"",
"Private kitchen",
"Air conditioning",
"Flat-screen TV",
"Free WiFi",
"Kitchen",
"Heating"
]
},
Need to extract reviews data using Booking App?
Leverage the specialized Booking Review Data Scraper for seamless extraction of reviews from Booking website. Purpose-built to retrieve comprehensive details, this dedicated tool captures reviews, ratings, basic reviewer data, stars, duration of stay, room data, liked or disliked aspects, date of staying, etc. for every listing. Enhance your ability to gather and analyze valuable insights from customer reviews, empowering you to make informed decisions based on authentic and detailed feedback. The Booking Reviews Scraper streamlines the process, providing a robust solution for extracting a wealth of information from Booking website’s extensive review database.
Frequently Asked Questions
What is a Booking Data Scraper?
A Booking Data Scraper is a specialized tool designed to extract information from Booking website, including hotel details, prices, ratings, and more, for analysis and decision-making purposes.
How does Booking Data Scraper work?
The Booking Data Scraper utilizes web scraping techniques to access and extract data using Booking website, retrieving relevant information based on user-defined parameters.
What types of data can I scrape with Booking Data Scraper?
With Booking Data Scraper, you can extract various types of data, including hotel names, prices, ratings, reviews, amenities, room types, and more, depending on your requirements.p>
Is Booking Data Scraper legal to use?
Booking Data Scraper should be used responsibly and in accordance with Booking.com's terms of service. It is essential to respect website policies and ensure compliance with relevant laws and regulations governing web scraping activities.
Can I customize the output format with Booking Data Scraper?
Yes, Booking Data Scraper offers flexibility in output formats, allowing users to choose from options like JSON, Excel, HTML table, CSV, or XML for convenient data analysis and integration into various systems.
Increase your data game with Real Data API – the key to unlocking seamless extraction and powerful insights with Booking Data Scraper. Try it now!
