What is Booking.com Hotel Listing Scraper?

A booking.com Hotel Listing scraper is a specialized tool that automatically collecting data from Booking.com Hotel listings. It enables users to extract essential information such as property details, pricing, reviews, and availability, helping businesses and individuals analyze the short-term rental market, track competitor pricing, or gather data for research purposes. With MrScraper, scraping Booking.com becomes seamless and efficient, offering both technical and non-technical users the ability to gather valuable insights.

What Data Can Be Scraped from Booking.com Hotel Listing Scraper?

With a Booking.com scraper, you can extract a wide range of data points, including:

• Hotel Name: Identify and track accommodation listings.
• Location Details: Gather insights about the property's location, including proximity to landmarks or city centers.
• Review Scores: Monitor guest satisfaction and overall property ratings.
• Number of Reviews: Assess the popularity and credibility of each property.
• Price Information: Analyze pricing trends for budget optimization.
• Availability Details: Track room availability for specific dates.

This data empowers you to make informed decisions, whether you're in the hospitality industry or an independent traveler.

How Do I Get Started?

Even if you're new to web scraping, this ScrapeGPT makes it easy to start collecting server data. Just follow these simple steps to get started:

1. Create your account on MrScraper.
2. Select “New ScrapeGPT” from the homepage and enter the URL you wish to scrape.
3. Wait for ScrapeGPT to process the page.
4. Type a prompt like “Get all the data” and let MrScraper do the work.
5. Choose your download format, JSON or CSV, and retrieve your data.

Input Url

Hotel Search Results in Jakarta - Booking.com

Sample Output

MrScraper provides the scraped data in both JSON and CSV formats, making it easy to analyze and integrate into your preferred tools or workflows. Whether you’re working with spreadsheets or building automated processes, the output is tailored for your convenience.

Sample Output (JSON)

[
    {
        "hotel_name": "Ashley Tugu Tani Menteng",
        "hotel_rating": "9.1 Superb",
        "number_of_reviews": "707 reviews",
        "location_details": "Central Jakarta, Jakarta - 1.7 km from centre",
        "hotel_image": "https://cf.bstatic.com/xdata/images/hotel/square240/544234461.webp?k=5a07e370dee8e8e09c4de305521dd0acea0b514d061a5f7ffc9bb86909b45778&o=",
        "hotel_link": "https://www.booking.com/hotel/id/ashley-tugu-tani.en-gb.html?label=gen173nr-1FCAEoggI46AdIM1gEaGiIAQGYATG4AQfIAQzYAQHoAQH4AQKIAgGoAgO4Auia-LsGwAIB0gIkOGQ5ODNjNmItZjE3YS00MDk3LWIyN2ItZTMzODU1NzFlZjYy2AIF4AIB&aid=304142&ucfs=1&arphpl=1&dest_id=-2679652&dest_type=city&group_adults=2&req_adults=2&no_rooms=1&group_children=0&req_children=0&hpos=1&hapos=1&sr_order=popularity&srpvid=6d7126e865cb0216&srepoch=1736314325&from=searchresults",
        "distance_from_downtown": "1.7 km"
    },
    {
        "hotel_name": "Ashley Wahid Hasyim Jakarta",
        "hotel_rating": "8.4 Very good",
        "number_of_reviews": "2,127 reviews",
        "location_details": "Central Jakarta, Jakarta - 1 km from centre",
        "hotel_image": "https://cf.bstatic.com/xdata/images/hotel/square240/327570452.webp?k=d2430f88bb0aebc8203721964602dcf7e8b8865f1719404202252e1b1c353250&o=",
        "hotel_link": "https://www.booking.com/hotel/id/ashley-jakarta.en-gb.html?label=gen173nr-1FCAEoggI46AdIM1gEaGiIAQGYATG4AQfIAQzYAQHoAQH4AQKIAgGoAgO4Auia-LsGwAIB0gIkOGQ5ODNjNmItZjE3YS00MDk3LWIyN2ItZTMzODU1NzFlZjYy2AIF4AIB&aid=304142&ucfs=1&arphpl=1&dest_id=-2679652&dest_type=city&group_adults=2&req_adults=2&no_rooms=1&group_children=0&req_children=0&hpos=2&hapos=2&sr_order=popularity&srpvid=6d7126e865cb0216&srepoch=1736314325&from=searchresults",
        "distance_from_downtown": "1 km"
    },
    {
        "hotel_name": "La Boheme, Rooms and Coffee",
        "hotel_rating": "8.5 Very good",
        "number_of_reviews": "905 reviews",
        "location_details": "South Jakarta, Jakarta - 1.3 km from centre",
        "hotel_image": "https://cf.bstatic.com/xdata/images/hotel/square240/352783287.webp?k=51386a9cb4199824d8071a8c95cf4ae8ae6ded73f8cd2f678c48960d83edf3f4&o=",
        "hotel_link": "https://www.booking.com/hotel/id/la-boheme-rooms-and-coffee.en-gb.html?label=gen173nr-1FCAEoggI46AdIM1gEaGiIAQGYATG4AQfIAQzYAQHoAQH4AQKIAgGoAgO4Auia-LsGwAIB0gIkOGQ5ODNjNmItZjE3YS00MDk3LWIyN2ItZTMzODU1NzFlZjYy2AIF4AIB&aid=304142&ucfs=1&arphpl=1&dest_id=-2679652&dest_type=city&group_adults=2&req_adults=2&no_rooms=1&group_children=0&req_children=0&hpos=3&hapos=3&sr_order=popularity&srpvid=6d7126e865cb0216&srepoch=1736314325&from=searchresults",
        "distance_from_downtown": "1.3 km"
    },
    {
        "hotel_name": "The Orient Jakarta, a Royal Hideaway Hotel",
        "hotel_rating": "9.0 Superb",
        "number_of_reviews": "502 reviews",
        "location_details": "Central Jakarta, Jakarta - 2.4 km from centre",
        "hotel_image": "https://cf.bstatic.com/xdata/images/hotel/square240/501505538.webp?k=68acd913bc6b04f94c3681083b7cc320880b655f04a85002ff99966c04f9de08&o=",
        "hotel_link": "https://www.booking.com/hotel/id/the-orient-jakarta.en-gb.html?label=gen173nr-1FCAEoggI46AdIM1gEaGiIAQGYATG4AQfIAQzYAQHoAQH4AQKIAgGoAgO4Auia-LsGwAIB0gIkOGQ5ODNjNmItZjE3YS00MDk3LWIyN2ItZTMzODU1NzFlZjYy2AIF4AIB&aid=304142&ucfs=1&arphpl=1&dest_id=-2679652&dest_type=city&group_adults=2&req_adults=2&no_rooms=1&group_children=0&req_children=0&hpos=4&hapos=4&sr_order=popularity&srpvid=6d7126e865cb0216&srepoch=1736314325&from=searchresults",
        "distance_from_downtown": "2.4 km"
    },
    {
        "hotel_name": "Mercure Jakarta Batavia",
        "hotel_rating": "8.3 Very good",
        "number_of_reviews": "1,687 reviews",
        "location_details": "West Jakarta, Jakarta - 7.1 km from centre",
        "hotel_image": "https://cf.bstatic.com/xdata/images/hotel/square240/620511813.webp?k=c6e9e3500b5046fccd35c3a6a0094cea0209c290a4fb1eda9cbe84ee05028de1&o=",
        "hotel_link": "https://www.booking.com/hotel/id/the-batavia.en-gb.html?label=gen173nr-1FCAEoggI46AdIM1gEaGiIAQGYATG4AQfIAQzYAQHoAQH4AQKIAgGoAgO4Auia-LsGwAIB0gIkOGQ5ODNjNmItZjE3YS00MDk3LWIyN2ItZTMzODU1NzFlZjYy2AIF4AIB&aid=304142&ucfs=1&arphpl=1&dest_id=-2679652&dest_type=city&group_adults=2&req_adults=2&no_rooms=1&group_children=0&req_children=0&hpos=5&hapos=5&sr_order=popularity&srpvid=6d7126e865cb0216&srepoch=1736314325&from=searchresults",
        "distance_from_downtown": "7.1 km"
    },
]

Sample Output (CSV)

Hotel Listings in Jakarta

Image	Hotel Name	Rating	Number of Reviews	Location Details	Distance from Downtown	Link
	Ashley Tugu Tani Menteng	9.1 Superb	707 reviews	Central Jakarta, Jakarta - 1.7 km from centre	1.7 km	View Hotel
	Ashley Wahid Hasyim Jakarta	8.4 Very good	2,127 reviews	Central Jakarta, Jakarta - 1 km from centre	1 km	View Hotel
	La Boheme, Rooms and Coffee	8.5 Very good	905 reviews	South Jakarta, Jakarta - 1.3 km from centre	1.3 km	View Hotel
	The Orient Jakarta, a Royal Hideaway Hotel	9.0 Superb	502 reviews	Central Jakarta, Jakarta - 2.4 km from centre	2.4 km	View Hotel
	Mercure Jakarta Batavia	8.3 Very good	1,687 reviews	West Jakarta, Jakarta - 7.1 km from centre	7.1 km	View Hotel

Is it Legal to Scrape Data from Booking.com?

Scraping data from Booking.com is subject to legal and ethical considerations. While gathering publicly available information is often permitted, Booking.com's terms of service may restrict data scraping without explicit permission. To ensure compliance:

1. Avoid scraping user-sensitive or restricted data.
2. Use scraping tools responsibly to avoid impacting the website's functionality.
3. Consult legal counsel if unsure about specific use cases.

By adhering to these guidelines, you can leverage Booking.com scraping effectively while respecting legal boundaries.