Booking.com Scraper

What does Booking.com Scraper do?

Booking.com Scraper collects structured hotel listings from a public Booking.com search results URL. Enter a search URL with the destination, dates, and guest details, then receive one dataset item per unique property with hotel identity, location, ratings, displayed prices, booking policy flags, sustainability signals, and image URLs.

Use the dataset for travel market research, accommodation catalogs, price and position monitoring, hospitality competitor analysis, or travel applications that need structured Booking.com listing data. The Actor follows pagination until it reaches your requested result limit or the configured page limit.

Why use Booking.com Scraper?

• Compare hotel supply - Build city and destination datasets with property names, addresses, coordinates, accommodation types, star ratings, and review counts.
• Monitor pricing signals - Save displayed stay prices, average nightly amounts, original prices, currencies, and price text when Booking.com publishes them for the search.
• Analyze booking policies - Identify free cancellation, no-prepayment, pet, meal-plan, and other listing-level policy signals.
• Create hospitality catalogs - Keep direct Booking.com URLs, descriptions, badges, certifications, and photo URLs in a reusable dataset.
• Automate repeat collection - Run on demand or schedule runs in Apify, then export the results or send them to downstream tools through the Apify API, webhooks, and integrations.
• Avoid repeated properties - Duplicate listings are removed by property identity before they are saved.

What data can you extract from Booking.com?

Each dataset item represents a unique hotel or accommodation listing. Optional fields are included only when Booking.com provides them for that result.

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 from the search, when provided.
checkoutDate	String	Check-out date from the search, when provided.
stayLengthDays	Integer	Length of stay from the search, when provided.
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	Display name of the property.
hotelUrl	String	Direct Booking.com property page URL.
address	String	Property address, when published.
city	String	Property city.
countryCode	String	Country code associated with the property.
latitude	Number	Property latitude, when available.
longitude	Number	Property longitude, when available.
displayLocation	String	Location text shown on the listing card.
starRating	Number	Property star rating.
reviewScore	Number	Main Booking.com review score.
reviewCount	Integer	Main Booking.com review count.
reviewScoreText	String	Human-readable review score label.
finalPriceAmount	Number	Final price amount from the best available listing block.
finalPriceCurrency	String	Currency for finalPriceAmount.
originalPriceAmount	Number	Original price before a displayed reduction, when available.
originalPriceCurrency	String	Currency for originalPriceAmount.
displayPriceText	String	Price text shown on the listing card.
displayPriceAmount	Number	Numeric displayed stay price, when available.
displayPriceCurrency	String	Currency for displayPriceAmount.
averageNightlyAmount	Number	Average nightly price, when available.
averageNightlyCurrency	String	Currency for averageNightlyAmount.
freeCancellation	Boolean	Whether free cancellation is shown for the listing.
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.
mealPlanType	String	Included meal-plan type, when available.
description	String	Listing description or summary.
isPreferred	Boolean	Preferred listing flag.
isSustainable	Boolean	Sustainability flag.
certifications	Array of Strings	Sustainability certifications shown for the property.
uspBadges	Array of Strings	Property benefits or selling-point badges.
cardLabels	Array of Strings	Labels displayed on the listing card.
photoUrls	Array of Strings	Available property photo URLs.
topPhotoUrls	Array of Strings	Main or top photo URLs, when available.

How to use Booking.com Scraper

1. Open Booking.com Scraper in Apify Console.
2. Paste a public Booking.com search results URL into startUrl. Include dates and guest details when you need date-specific price signals.
3. Set results_wanted to the maximum number of unique properties to save.
4. Adjust max_pages if the target search requires more or fewer result pages.
5. Optionally configure an Apify Proxy in proxyConfiguration.
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	Yes	London search URL	Booking.com search results, city, or country URL. The Actor normalizes the URL and uses the destination and guest parameters present in it.
results_wanted	Integer	No	20	Maximum number of unique hotel listings to save.
max_pages	Integer	No	10	Maximum number of result pages to process as a safety limit.
proxyConfiguration	Object	No	Not used	Optional Apify Proxy settings. For protected or inconsistent searches, use an appropriate proxy configuration.

Usage Examples

Basic hotel listing collection

Use a Booking.com search URL and collect up to 20 unique properties.

{
  "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
}

Larger destination dataset

Increase both limits when you need more properties from a destination search.

{
  "startUrl": "https://www.booking.com/searchresults.html?ss=Paris%2C+Ile-de-France%2C+France&group_adults=2&no_rooms=1&group_children=0",
  "results_wanted": 150,
  "max_pages": 20
}

Collection with Apify Proxy

Enable an Apify residential proxy when the target search is inconsistent or needs additional connection reliability.

{
  "startUrl": "https://www.booking.com/searchresults.html?ss=Dubai%2C+United+Arab+Emirates&checkin=2026-09-10&checkout=2026-09-13&group_adults=2&no_rooms=1&group_children=0",
  "results_wanted": 60,
  "max_pages": 12,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Sample Output

The following is an example of one dataset item. Price, date, policy, and badge fields can vary with the search URL and the information published for each listing.

{
  "searchUrl": "https://www.booking.com/searchresults.html?ss=London%2C+Greater+London%2C+United+Kingdom&group_adults=2&no_rooms=1&group_children=0&lang=en-us",
  "searchLocation": "London, Greater London, United Kingdom",
  "rooms": 1,
  "adults": 2,
  "children": 0,
  "hotelId": 1929259,
  "hotelName": "Montcalm Royal London House, London City",
  "hotelUrl": "https://www.booking.com/hotel/gb/the-montcalm-royal-london-house.html",
  "address": "Royal London House, 22-25 Finsbury Square",
  "city": "London",
  "countryCode": "gb",
  "latitude": 51.5201,
  "longitude": -0.0844,
  "displayLocation": "Islington, London",
  "starRating": 5,
  "reviewScore": 8.5,
  "reviewCount": 8880,
  "reviewScoreText": "Very good",
  "displayPriceText": "Price for 1 night, 2 adults",
  "displayPriceAmount": 245.0,
  "displayPriceCurrency": "GBP",
  "averageNightlyAmount": 245.0,
  "averageNightlyCurrency": "GBP",
  "freeCancellation": false,
  "noPrepaymentNeeded": false,
  "isPreferred": true,
  "isSustainable": true,
  "certifications": ["Green Key (FEE)"],
  "photoUrls": [
    "https://cf.bstatic.com/xdata/images/hotel/square600/86639018.webp"
  ],
  "topPhotoUrls": [
    "https://cf.bstatic.com/xdata/images/hotel/square600/86639018.webp"
  ]
}

Tips for best results

• Use a complete Booking.com search URL copied after selecting the destination, dates, guests, and rooms.
• Include check-in and check-out dates when you need meaningful price or cancellation signals. Listing prices depend on the search context.
• Start with results_wanted: 20 to confirm the destination and output before requesting a larger dataset.
• Increase max_pages when the result limit is higher than the first page can provide.
• Use proxyConfiguration when a run returns no listings or the source page is inconsistent.
• Review the dataset preview before scheduling recurring collection. Public listing content and field availability can change.

Integrations and export formats

Apify datasets can be used directly in other workflows or downloaded in common formats.

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

Frequently Asked Questions

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

Yes. Set startUrl to a Booking.com search URL for the destination you want to analyze. City and country pages are also supported when they resolve to a search results page.

Can I collect multiple destinations in one run?

No. This Actor processes one startUrl per run. Create separate runs for separate destinations, or schedule multiple runs when you need recurring coverage.

Does the Actor return room-level availability?

No. The dataset contains listing-card information and listing-level price and policy signals. Room inventory, exact room options, and availability can depend on the dates, guests, and session used for the search.

Why are price or policy fields missing?

Fields can be missing when Booking.com does not publish them for a listing or when the search URL does not include dates and guest details. The Actor omits empty values from each dataset item.

How many hotel listings can I collect?

Set results_wanted to your desired maximum and use max_pages as the page-processing limit. The Actor stops when it reaches the result limit or has no additional results to save.

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

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

Can I schedule recurring Booking.com data collection?

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

Is it legal to collect Booking.com data?

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

Related Actors

• Agoda Hotels Scraper 🏨 - Collect hotel data from another major accommodation marketplace.
• Expedia Hotels Scraper - Gather Expedia hotel listings, prices, ratings, and location data.
• Trip.com Hotels Scraper - Collect Trip.com hotel listings for travel comparison workflows.

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.