Booking.com Scraper

What does Booking.com Scraper do?

Booking.com Scraper collects structured hotel listings from a public Booking.com search results or destination page. Paste one search, city, region, district, or country URL with a destination, and the Actor returns one dataset item per unique property with hotel identity, location, ratings, displayed prices, booking policies, sustainability signals, and photo URLs.

The Actor is built for travel market research, accommodation catalogs, price and position monitoring, and hospitality competitor analysis. It paginates automatically until it reaches your result limit or page limit, removes duplicate properties, and saves each page as soon as it is ready.

Why use Booking.com Scraper?

• Build destination datasets - Collect hotel names, addresses, coordinates, star ratings, review scores, and accommodation types for a city or region.
• Track price signals - Save displayed stay prices, price before discount, average nightly amounts, currencies, and total price fields when Booking.com publishes them.
• Compare booking policies - Identify free cancellation, no-prepayment, pet-friendly, and meal-plan signals across a destination.
• Create reusable catalogs - Keep direct Booking.com hotel URLs, descriptions, badges, certifications, and photos in one exportable dataset.
• Run repeat collection - Use Apify schedules to refresh a destination weekly or daily, then send results to sheets, databases, or webhooks.
• Avoid duplicates - Properties are deduplicated by hotel identity before they are saved, even across pages.

What data can you extract from Booking.com?

Each item represents one hotel or accommodation listing. Optional fields appear only when Booking.com publishes them for that property and search context.

Field	Type	Description
searchUrl	String	Normalized Booking.com search URL used for collection
searchLocation	String	Destination text from the search
checkinDate	String	Check-in date used for the search
checkoutDate	String	Check-out date used for the search
stayLengthDays	Integer	Number of nights in the stay
rooms	Integer	Number of rooms requested
adults	Integer	Number of adults requested
children	Integer	Number of children requested
hotelId	Integer	Booking.com property identifier
hotelName	String	Property display name
hotelUrl	String	Direct Booking.com property page URL
address	String	Property address when published
city	String	Property city
countryCode	String	Property country code
latitude	Number	Property latitude
longitude	Number	Property longitude
displayLocation	String	Neighborhood or location text from the listing
starRating	Number	Property star rating
reviewScore	Number	Main guest review score
reviewCount	Integer	Main guest review count
reviewScoreText	String	Review score label, such as Very Good
externalReviewScore	Number	External review score when shown
externalReviewCount	Integer	External review count when shown
displayPriceText	String	Price label shown for the stay
displayPriceAmount	Number	Displayed stay price
displayPriceCurrency	String	Currency for the displayed price
priceBeforeDiscountAmount	Number	Price before a displayed reduction
finalPriceAmount	Number	Final price from the best available price block
finalPriceCurrency	String	Currency for the final price
originalPriceAmount	Number	Original price when reported in the same currency as the final price
originalPriceCurrency	String	Currency for the original price
freeCancellation	Boolean	Whether free cancellation is shown
noPrepaymentNeeded	Boolean	Whether no prepayment is shown
petsAllowedFree	Boolean	Whether pets are shown as allowed free of charge
mealPlan	String	Included meal-plan text when available
description	String	Short property description
isPreferred	Boolean	Preferred property flag
isPreferredPlus	Boolean	Preferred Plus flag
geniusRateAvailable	Boolean	Genius rate availability flag
isSustainable	Boolean	Sustainability flag
certifications	Array of Strings	Sustainability certifications
uspBadges	Array of Strings	Property benefit badges
cardLabels	Array of Strings	Additional listing labels
photoUrls	Array of Strings	Property photo URLs
topPhotoUrls	Array of Strings	Main property photo URLs

How to use Booking.com Scraper

1. Open the Actor on Apify.
2. Paste a public Booking.com search results or city page URL into startUrl.
3. Set results_wanted to the maximum number of unique properties to save.
4. Adjust max_pages if the search needs more or fewer result pages.
5. Keep the residential proxy default for cloud runs, or adjust it for local runs.
6. Start the run and open the dataset when it finishes.
7. Download the results or connect the dataset to your workflow.

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	London search URL	Booking.com search results, city, region, district, or country URL. Destination, dates, rooms, and guest details from the URL are used.
results_wanted	Integer	No	20	Maximum number of unique properties to save
max_pages	Integer	No	10	Safety cap for result pages
proxyConfiguration	Object	No	Apify residential proxy	Apify proxy settings. Keep the residential default for cloud runs.

The startUrl field includes a working default, so an empty run still collects a small London dataset. Provide your own URL to target another destination.

Usage Examples

Basic destination collection

Collect the first 20 unique properties for London.

{
  "startUrl": "https://www.booking.com/searchresults.html?ss=London%2C+Greater+London%2C+United+Kingdom&group_adults=2&no_rooms=1&group_children=0",
  "results_wanted": 20
}

Date-specific price collection

Include check-in and check-out dates to receive price and cancellation data for a specific stay.

{
  "startUrl": "https://www.booking.com/searchresults.html?ss=Paris%2C+Ile-de-France%2C+France&checkin=2026-11-10&checkout=2026-11-14&group_adults=2&no_rooms=1&group_children=0",
  "results_wanted": 100,
  "max_pages": 8
}

Collection with a specific proxy country

Cloud runs use the residential default. Set a proxy country when you need stable pricing.

{
  "startUrl": "https://www.booking.com/searchresults.html?ss=Dubai%2C+United+Arab+Emirates&checkin=2026-11-10&checkout=2026-11-13&group_adults=2&no_rooms=1&group_children=0",
  "results_wanted": 60,
  "max_pages": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "GB"
  }
}

Sample Output

{
  "searchUrl": "https://www.booking.com/searchresults.html?ss=London%2C+Greater+London%2C+United+Kingdom&group_adults=2&no_rooms=1&group_children=0&checkin=2026-10-24&checkout=2026-10-25&lang=en-us",
  "searchLocation": "London",
  "checkinDate": "2026-10-24",
  "checkoutDate": "2026-10-25",
  "stayLengthDays": 1,
  "rooms": 1,
  "adults": 2,
  "children": 0,
  "hotelId": 417266,
  "hotelName": "Mayfair House",
  "hotelUrl": "https://www.booking.com/hotel/gb/mayfair-house.html",
  "address": "22-28 Shepherd Street",
  "city": "London",
  "countryCode": "gb",
  "latitude": 51.5061055745871,
  "longitude": -0.14794796705246,
  "displayLocation": "Westminster Borough, London",
  "starRating": 5,
  "reviewScore": 8.5,
  "reviewCount": 344,
  "reviewScoreText": "Very Good",
  "displayPriceText": "Total",
  "displayPriceAmount": 136007.11,
  "displayPriceCurrency": "PKR",
  "priceBeforeDiscountAmount": 226676.05,
  "finalPriceAmount": 136007.11,
  "finalPriceCurrency": "PKR",
  "freeCancellation": false,
  "noPrepaymentNeeded": false,
  "isPreferred": true,
  "isSustainable": false,
  "photoUrls": [
    "https://cf.bstatic.com/xdata/images/hotel/square600/868213787.webp?k=77a032d72e244baa879888b3b1bf931202dfc2e32a755cfe3996305e7fe64fda&o="
  ]
}

Prices and currencies reflect the network location and stay context of the run. A search from another country can return a different currency and a different set of available properties.

Tips for best results

• Use a complete search URL copied after selecting the destination, dates, guests, and rooms. City pages such as https://www.booking.com/city/gb/london.html also work.
• Include dates when you need price or cancellation signals. If the URL has no dates, the Actor uses upcoming dates and reports them in each item.
• Stale dates are moved to the next available stay range so the search still returns prices.
• Start with results_wanted: 20 to confirm the destination and field coverage before a large run.
• Increase max_pages when the result limit is higher than one page can provide. Pagination is capped at 40 pages.
• Keep the residential proxy enabled for cloud runs. Booking.com blocks datacenter IPs, and runs without a proxy return no listings.
• Public listing content changes often. Review the dataset preview before scheduling recurring runs.

Integrations and export formats

Option	Useful for
JSON	Applications, data pipelines, and AI or RAG workflows
CSV	Spreadsheet analysis and quick imports
Excel	Travel reporting and business reviews
XML	Systems that require XML feeds
Google Sheets	Shared destination and competitor reports
Webhooks	Starting another service after a run finishes
Make or Zapier	No-code automation
Apify API	Starting runs and reading datasets from your own systems

Frequently Asked Questions

Can I collect Booking.com listings for a specific destination?

Yes. Set startUrl to a Booking.com search results page or a city, region, district, or country page for that destination.

Can I collect multiple destinations in one run?

No. One run processes one startUrl. Create separate runs for separate destinations, or schedule several runs when you need recurring coverage.

Why is the price in an unexpected currency?

Booking.com chooses a currency from the network location and session context. To compare prices across runs, use the same proxy country and the same stay dates, or convert the saved amounts after collection.

Why are some price or policy fields missing?

Fields can be missing when Booking.com does not publish them for a property, when the search has no available inventory, or when a listing has no current offer. The Actor omits empty values from each item.

How many hotel listings can I collect?

Set results_wanted up to 1000 and max_pages up to 40. The Actor stops when it reaches the result limit, the page limit, or the end of available inventory.

Does the Actor return room-level availability?

No. It returns listing-card details and listing-level price and policy signals. Room inventory, exact room types, and live availability depend on the dates and session used for the search.

Can I export Booking.com data to CSV or Excel?

Yes. Apify datasets support CSV, Excel, JSON, XML, and other export options in Apify Console.

Can I schedule recurring Booking.com collection?

Yes. Create an Apify schedule to run the Actor hourly, daily, or weekly, then connect the run to a dataset, webhook, or integration.

What should I do if a run returns no listings?

Check that the URL is a Booking.com search results page with a destination. Add dates, try a nearby date range, and keep the residential proxy enabled if the source is inconsistent from your network. If the problem continues, report the input URL and run ID through the Issues tab.

Is it legal to collect Booking.com data?

Public web data collection can be subject to laws, privacy rules, and website terms. You are responsible for using the Actor lawfully, respecting Booking.com rules, and handling collected data responsibly.

Related Actors

• Agoda Hotels Scraper - Collect hotel listings and prices from Agoda.
• Expedia Hotels Scraper - Gather Expedia hotel listings, ratings, and location data.
• Trip.com Hotels Scraper - Build Trip.com hotel datasets for travel comparison.

Support

For bugs, field requests, or source changes, use the Issues tab on the Actor page or contact the developer through Apify. Include the input URL, run ID, and a short description of the missing or unexpected result.

Legal Notice

This Actor is intended for legitimate collection and analysis of publicly available Booking.com listing information. You are responsible for complying with Booking.com terms, applicable laws, privacy obligations, and any restrictions that apply to your intended use of the data.