Booking.com Scraper - Hotel Prices, Ratings & Rooms

What is Booking.com Scraper?

Booking.com Scraper is a tool that lets you scrape hotel prices, guest ratings, room types, taxes and fees, addresses and photos from Booking.com search results and hotel pages. Type a destination like Paris, add your check-in and check-out dates, click Start, and download the hotels as Excel, CSV or JSON, priced for your exact dates, guests and currency.

• 💵 Real prices for your dates: the nightly price and the separate taxes-and-fees line Booking.com shows a visitor
• 🔎 Your filters kept: paste a Booking.com search link with star rating, review score, sort order and more
• 🏨 Up to 500 hotels per run from one or many searches, in Booking.com's own order
• 🔓 No login: no Booking.com account needed
• 💸 Free to try: the $5 of free usage every Apify account gets each month covers up to about 2,000 hotels

What can Booking.com Scraper do?

• Scrape Booking.com hotels by city or destination, such as Paris or Lisbon
• Scrape Booking.com hotel prices for specific dates, guests and rooms
• Scrape a Booking.com search link with your filters: stars, review score, price, sort order, children and their ages
• Scrape single Booking.com hotel pages from their links
• Monitor hotel rates on a schedule and see how prices move across dates and seasons
• Get prices in any currency and pages in your language
• Export to Excel, CSV, JSON, HTML or XML, or send the data to Google Sheets, Make, Zapier and more

What data can you extract from Booking.com?

🏨 Hotel name and ID	🔗 Hotel link and search link	🔢 Rank in the search results
💵 Price for your dates	🧾 Taxes and fees line	💱 Currency you choose
⭐ Guest rating score	💬 Number of reviews	🛏️ Room name
📍 Address, city and country	🌐 Latitude and longitude	🌆 Hotel photo links
🧺 Amenities	📝 Hotel description	📅 Check-in, check-out and adults used

How to scrape Booking.com hotels

1. Create a free Apify account (no credit card needed).
2. Open Booking.com Scraper.
3. Type a destination into Location query, or paste Booking.com search links or hotel links.
4. Set Check-in date and Check-out date, the number of Adults and Rooms, and how many hotels you want, then click Start.
5. When the run finishes, download your hotels as Excel, CSV, JSON, HTML or XML.

💡 Tips for scraping hotels on Booking.com

1️⃣ Always provide check-in and check-out dates. Booking.com only shows full room and price information when dates are set. Without them you get the hotels but no prices. Prices returned match your exact dates, guest count and currency.

2️⃣ Paste a search link to keep your filters. Location query is the quickest start. A Booking.com search link copied from the address bar keeps everything you set there: star rating, review score, price and other filters, sort order, children and their ages.

3️⃣ Set Maximum results to how many hotels you need. A search is read in Booking.com's own order until it reaches Maximum results (up to 500) or the end of the results. With several searches, Maximum results is the total for the run.

How much does it cost to scrape Booking.com hotels?

You pay $2.50 per 1,000 hotels, plus a start fee of $0.005 per run at the default settings. You also pay the Apify platform usage of the run, which is billed separately.

Example: 1,000 hotels cost $2.50 plus the $0.005 start fee and the run's platform usage.

Every Apify account gets $5 of free usage each month, so you can try it at no cost. See the Pricing tab for details.

⬇️ Input

Add at least one of Location query, Booking.com search URLs or Booking.com hotel URLs.

Setting	What it does
Booking.com search URLs	Full Booking.com search links, with any filters you set on the site
Booking.com hotel URLs	Links to single Booking.com hotel pages
Location query	A destination name, such as Paris, used when you have no search link
Check-in date / Check-out date	Dates in YYYY-MM-DD format. Needed for prices
Adults	Number of adult guests, 1 to 30 (default 2)
Rooms	Number of rooms, 1 to 30 (default 1)
Maximum results	How many hotels to save in the run, 1 to 500 (default 50)
Currency	Currency for prices, such as USD or EUR
Language	Language for the pages, such as en-us
Connection settings	The default works for most runs

Hotels in Paris for two nights, two adults, priced in US dollars:

{
    "locationQuery": "Paris",
    "checkInDate": "2026-11-12",
    "checkOutDate": "2026-11-14",
    "adults": 2,
    "rooms": 1,
    "maxResults": 25,
    "currency": "USD",
    "language": "en-us"
}

Three specific hotels for the same dates:

{
    "hotelUrls": [
        "https://www.booking.com/hotel/fr/melia-paris-champs-elysees.html",
        "https://www.booking.com/hotel/fr/pullman-paris-tour-eiffel.html",
        "https://www.booking.com/hotel/fr/ibis-paris-tour-eiffel-cambronne-15eme.html"
    ],
    "checkInDate": "2026-11-12",
    "checkOutDate": "2026-11-14",
    "adults": 2
}

⬆️ Output

You get one row per hotel. Results appear in the Output tab as a sortable hotel table, and you can download them as Excel, CSV, JSON, HTML or XML. This hotel is from a real run for Paris, 12 to 14 November 2026:

{
    "searchUrl": "https://www.booking.com/searchresults.html?ss=Paris&checkin=2026-11-12&checkout=2026-11-14&group_adults=2&no_rooms=1&selected_currency=USD&lang=en-us",
    "hotelUrl": "https://www.booking.com/hotel/fr/melia-paris-champs-elysees.html?checkin=2026-11-12&checkout=2026-11-14&group_adults=2&no_rooms=1&selected_currency=USD&lang=en-us",
    "hotelName": "Meliá Paris Champs Elysées",
    "hotelId": "58316",
    "address": "102 Avenue Victor Hugo, 16th arr., Paris",
    "city": "Paris",
    "country": "France",
    "latitude": "48.868714637814",
    "longitude": "2.28286698460579",
    "rating": "7.9",
    "reviewCount": "272",
    "price": "504",
    "currency": "USD",
    "taxesAndFees": "+$89 taxes and fees",
    "roomName": "Melia Double Room",
    "checkInDate": "2026-11-12",
    "checkOutDate": "2026-11-14",
    "adults": "2",
    "rank": "2",
    "imageUrls": "[\"https://cf.bstatic.com/xdata/images/hotel/square600/888870945.jpg?k=867d4f0ee1021b6c064ab2e30bbae4a3f93853a736049e284a51dd6a43138284&o=\"]",
    "scrapedAt": "2026-09-27T09:33:09Z"
}

Every hotel also comes with amenities and a description. In search results, amenities lists all of the hotel's facilities; for hotel links, its most popular ones, plus up to 20 photos. Searches without dates give the short summary shown in the results list as the description; searches with dates and hotel links give the hotel's own description. Hotel links are ranked in the order you listed them.

Fields Booking.com does not show for a hotel stay empty rather than being filled with guesses, and prices appear only when check-in and check-out dates are set. The scraper never adds made-up rows: a link that cannot be read is listed with its reason in the run report.

How can I use Booking.com data?

• Hotel rate monitoring: track how competitor prices move across dates and seasons
• Travel market research: compare average nightly rates between cities or districts
• Price comparison products: feed live hotel prices into your own app or dashboard
• Revenue management: see where your property ranks in search results and how it is priced against neighbors
• Tourism research: build datasets of hotel supply, ratings and pricing for a region

Scrape more travel data

Actor	What it gets
Tripadvisor Reviews Scraper	Hotel, restaurant and attraction reviews with ratings, reviewer profiles and owner replies
Airbnb Listings Scraper	Airbnb listings, prices, ratings and hosts for the same destinations
Skyscanner Flight Scraper	Flight prices, airlines, stops and booking links for any route
Google Maps Scraper	Hotels, restaurants and other places with ratings, phones and websites

❓FAQ

How much does it cost to scrape Booking.com?

$2.50 per 1,000 hotels plus a $0.005 start fee per run and the run's platform usage. See the cost section above and the Pricing tab.

Do I need a Booking.com account?

No. You don't need a Booking.com account or a login.

How many hotels does one search return?

As many as Booking.com lists for it, up to Maximum results (500 per run). A big city search lists thousands of places; the scraper returns them in Booking.com's own order, so the first rows are the ones a visitor sees first.

What export formats are supported?

JSON, CSV, Excel (XLSX), XML, HTML and RSS. Download from the Storage tab in Apify Console or with the Apify API.

Can I run it on a schedule?

Yes. Use Apify Schedules to run it daily or weekly, which is the usual setup for price monitoring. Each run gives you a dated dataset you can compare.

Why did my run return no results?

Check the run report: it lists every link that could not be read and why, for example a hotel page that no longer exists or a search with no available hotels for your dates.

Are the prices accurate?

Prices are the ones Booking.com shows a visitor for your exact dates, guest count and currency, including the separate taxes-and-fees line. They reflect the moment of the scrape. Booking.com changes prices often, which is why scheduled monitoring runs are useful.

Does it scrape guest reviews?

No. It gets the rating score and the number of reviews for each hotel. For full review text, use Tripadvisor Reviews Scraper.

Can I connect Booking.com Scraper to other tools or AI agents?

Yes. Start runs and download results with the Apify API or the Python and JavaScript clients, send results to Make, Zapier, n8n, Google Sheets or Slack with Apify integrations and webhooks, or let AI assistants and agents run it through the Apify MCP server at mcp.apify.com.

Is it legal to scrape Booking.com?

This scraper only collects hotel information that Booking.com shows publicly, such as names, prices and ratings. It does not collect guest accounts or private data. Some pages can still contain personal data, which may be protected by laws such as GDPR, so only scrape for a legitimate reason and ask a lawyer if you are unsure. You can read more in Is web scraping legal?

Booking.com Scraper is an independent tool. It is not affiliated with, endorsed by or sponsored by Booking.com.

Something isn't working?

Open the Issues tab and tell us your input and what you expected.

⭐ Your feedback

Have an idea or found a problem? Tell us in the Issues tab. If Booking.com Scraper saved you time, a short review on the Reviews tab helps other people find it.