Booking.com Scraper

Booking.com Scraper collects hotel listings from Booking.com and turns them into structured data for price monitoring, market research, and travel lead generation. Provide a destination such as "Berlin, Germany" together with check-in and check-out dates, run the Actor, and export hotel name, price, review score, address, coordinates, and more to JSON, CSV, Excel, or your preferred integration. Optionally enrich each hotel with facilities, year-round availability calendars, and guest reviews. From just $1 per 1,000 hotels.

What can you automate with Booking.com Scraper?

• Build hotel lead lists — export hotel name, address, coordinates, and booking URL for any destination.
• Monitor room pricing — capture nightly prices for your stay dates and compare across properties.
• Track availability — pull a year-round calendar with daily prices for each hotel.
• Collect guest feedback — gather review scores and review text at scale.
• Schedule recurring collection — refresh destination data weekly or daily without manual work.

Who is this scraper for?

Team	Workflow
Travel agencies	Build destination catalogs and compare hotel pricing for clients.
Revenue managers	Monitor competitor rates and availability over time.
Market researchers	Analyze hotel supply, pricing, and ratings by city.
OTA and booking platforms	Enrich listings with structured hotel data.

What data can you collect from Booking.com?

Data group	Example fields	How it helps
Property identity	name, hotelId, url, pageName, countryCode	Identify and link each hotel.
Location	address, city, latitude, longitude	Map properties and segment by area.
Pricing	price, priceRounded, currency	Compare rates for the selected stay.
Reputation	reviewScore, reviewCount, reviewScoreText	Filter by guest rating.
Enrichment	facilities, houseRules, surroundings, faq	Optional detail when hotel details are enabled.
Availability & reviews	availability, guestReviews	Optional year-round calendar and guest reviews.

How to use Booking.com Scraper

1. Open the Actor and go to the Input tab.
2. Enter a destination in Search Queries, e.g. Berlin, Germany.
3. Set Check-in and Check-out dates and the number of guests.
4. Choose a Max Items limit and any optional detail toggles.
5. Run the Actor, then export the dataset as JSON, CSV, or Excel.

{
  "searchQueries": ["Berlin, Germany"],
  "checkIn": "2026-09-01",
  "checkOut": "2026-09-03",
  "adults": 2,
  "rooms": 1,
  "maxItems": 20,
  "hotelDetails": true,
  "currency": "EUR",
  "lang": "en-gb"
}

Example workflow

Build a monthly list of top-rated Berlin hotels

1. Run one Berlin search for your target month every week.
2. Keep only hotels above your required reviewScore and price range.
3. Send new records to Google Sheets or a CRM.
4. Deduplicate using the stable hotelId or url.

Automate and integrate your results

You can schedule the Actor from the Apify Console or via API to run daily or weekly. After a successful run, trigger a webhook to push the dataset to Google Sheets, Make, Zapier, Slack, or a database. Use the stable hotelId or url as your deduplication key.

Input reference

Field	Type	Required	Default	What it controls
searchQueries	array	No	["Berlin, Germany"]	Destinations to search.
startUrls	array	No	—	Direct Booking.com search or hotel URLs.
checkIn / checkOut	string	No	—	Stay dates (YYYY-MM-DD).
adults / rooms / children	integer	No	—	Occupancy for pricing.
childrenAges	array	No	—	Ages of children.
maxItems	integer	No	—	Max hotels to return (0 = unlimited).
hotelDetails	boolean	No	false	Add facilities, house rules, surroundings, FAQ.
scrapeAvailability	boolean	No	false	Add the year-round availability calendar.
scrapeReviews	boolean	No	false	Add guest reviews.
maxReviews	integer	No	10	Max reviews per hotel when enabled.
lang	string	No	—	Result language (en-us, de, fr, …).
currency	string	No	—	Preferred price currency.

Output example

{
  "hotelId": 123456,
  "name": "Hotel Berlin Central",
  "url": "https://www.booking.com/hotel/de/berlin-central.html",
  "countryCode": "de",
  "city": "Berlin",
  "address": "Example Street 1, Mitte, Berlin",
  "reviewScore": 8.7,
  "reviewCount": 1240,
  "reviewScoreText": "Excellent",
  "price": 118,
  "currency": "EUR",
  "latitude": 52.520008,
  "longitude": 13.404954,
  "imageUrl": "https://cf.bstatic.com/xdata/images/hotel/example.jpg"
}

How much does it cost to scrape Booking.com?

Billing is pay-per-event. You are charged $1 per 1,000 hotels for search-result records (dataset-item). Optional extras are billed only when enabled: hotel details and reviews each at $1 per 1,000, and availability calendars at $0.10 per 1,000. A one-time Actor Start fee of $0.00005 applies per run. Apify plan discounts reduce these prices further.

Reliability and responsible use

The Actor uses residential proxies by default, which you can adjust in the input. Search-result fields such as reviewScore and price are available at the search level, while facilities, availability, and guestReviews are returned only when their toggles are enabled. Prices depend on the exact stay dates and occupancy you provide. Use the Actor only for lawful purposes and respect Booking.com's terms of service.

Frequently asked questions

Can I scrape hotels for any destination?

Yes. Enter a destination string like Paris or New York, USA, and the Actor resolves it to Booking.com results for that location.

Can I schedule Booking.com Scraper to run automatically?

Yes. Use the Apify Scheduler to run daily or weekly and refresh pricing and availability on a set cadence.

What counts as one result?

One result is one hotel added to the dataset (dataset-item). Optional hotel details, reviews, and availability calendars are separate events.

Why are some fields empty?

Optional fields such as facilities, availability, and guestReviews appear only when the corresponding toggle is enabled. Individual hotels may also omit fields that are not present on their listing.

How do I avoid duplicate records?

Deduplicate on the stable hotelId or the hotel url, which are unique per property.

Do I need a proxy?

Residential proxies are enabled by default and recommended for reliable access to Booking.com.

Related Scraptivo automations

• Airbnb Scraper — short-term rental listings and pricing.
• Tripadvisor Reviews Scraper — guest reviews for hotels, restaurants, and attractions.
• OpenTable Scraper — restaurant availability and reservation data.

Support and custom workflows

Need a different field, source, or delivery workflow? Contact Scraptivo at scraptivo@gmail.com. Include the Actor name, a sample destination and dates, required fields, and expected volume so we can assess the request.