🏨 Booking.com Room-Level Price Scraper

Extract complete room-level pricing from any Booking.com hotel — every room type, every rate option, every date — up to 365 days ahead.

Unlike listing scrapers that return one price per hotel, this actor dives into each property page and extracts granular room-by-room data: prices, rate options, availability signals, meal plans, discounts, facilities, and sold-out detection.

One run = complete pricing visibility for your competitive set.

💡 Paste hotel URLs, set your date range, hit Start. Results ready in JSON, CSV, or Excel.

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🎯 Who is this for?

• Revenue managers monitoring competitor pricing daily
• Hotel operators tracking market positioning at the room-type level
• Travel tech companies feeding structured pricing data into dashboards or algorithms
• Market analysts studying seasonal trends and demand patterns
• Consultants building competitive intelligence reports for hospitality clients

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📥 Input

Field	Type	Required	Default	Description
hotelUrls	array	✅	—	Booking.com hotel URLs (up to 10 per run)
daysAhead	integer	❌	30	Number of days to scrape (1–365)
startDate	string	❌	Today	Start date in YYYY-MM-DD format
currency	string	❌	USD	Any Booking.com currency: USD, EUR, GBP, MAD, AED, JPY…
adults	integer	❌	2	Number of adult guests
children	integer	❌	0	Number of children
rooms	integer	❌	1	Number of rooms
includeSoldOut	boolean	❌	true	Include sold-out dates in results
includeWholesaleRates	boolean	❌	false	Capture partner/wholesale rates (bbasic), tagged separately as is_wholesale
proxyCountries	array	❌	["FR"]	Source markets to scrape from. The actor runs once per country; each result is tagged with proxy_country. Requires useApifyProxy: true
delayBetweenRequests	integer	❌	4	Seconds between page loads (anti-blocking)
useApifyProxy	boolean	❌	false	Use Apify Proxy for better success rates

Example input

{
  "hotelUrls": [
    "https://www.booking.com/hotel/ma/savoy-le-grand.html",
    "https://www.booking.com/hotel/ma/longue-vie-hotels.html"
  ],
  "daysAhead": 30,
  "currency": "USD",
  "adults": 2,
  "rooms": 1,
  "includeSoldOut": true,
  "useApifyProxy": true,
  "proxyCountries": ["FR", "US", "GB"]
}

💡 Tip: You only need the base hotel URL — query parameters like ?checkin=... are automatically handled. Works with any Booking.com property worldwide.

💡 Multi-country tip: Booking.com applies geo-pricing based on visitor location. Scraping from multiple proxyCountries (e.g. ["FR", "US", "GB"]) reveals how the same room is priced for different source markets. Keep currency fixed across countries so the difference you see is the geo-pricing cohort, not a currency conversion.

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📤 Output

Each result represents one room type for one date. A hotel with 8 room types scraped across 30 days produces ~240 results — a complete pricing matrix.

Output fields

Field	Type	Description
hotel_url	string	Source URL
hotel_name	string	Property name as shown on Booking.com
scrape_timestamp	string	When this data was collected (UTC)
proxy_country	string	Source market the result was scraped from (e.g. FR, US)
check_in_date	string	Check-in date (YYYY-MM-DD)
check_out_date	string	Check-out date (YYYY-MM-DD)
room_id	integer	Booking.com internal room type ID
room_name	string	Full room name (e.g., "Prestige Double Room with Pool View")
room_name_clean	string	Room name with bed type suffix removed
bed_type	string	Bed configuration (e.g., "1 extra-large double bed")
max_guests	integer	Maximum occupancy for this room
room_size_sqm	integer	Room size in m² (null if not shown)
room_view	string	View type (e.g., "Pool view", "Seating Area")
has_private_bathroom	boolean	Whether the room has a private bathroom
facilities	array	Full list of room facilities (30–40+ items per room)
room_amenities	array	Premium amenities only (balcony, minibar, spa bath, etc.)
currency	string	Price currency
price	number	Lowest available price for this room
price_primary	number	Best price for 2-guest standard occupancy
price_public	number	Non-Genius public price (for competitive benchmarking)
original_price	number	Pre-discount price (null if no discount)
discount_percent	integer	Discount percentage (null if no discount)
rooms_left	integer	Booking.com availability signal (null = high availability)
availability_status	string	available, low_availability, low_availability_urgent, or sold_out
stock_confidence	string	exact, capped, or hidden — see explanation below
meal_plan	string	Meal plan description
is_breakfast_included	boolean	Whether breakfast is included at no extra cost
is_refundable	boolean	Whether free cancellation is offered
book_now_pay_later	boolean	Whether deferred payment is available
taxes_included	number	Taxes included in the displayed price
taxes_excluded	number	Taxes added on top of the displayed price
has_wholesale_rate	boolean	Whether any rate option for this room is a wholesale/partner rate (only relevant when includeWholesaleRates: true)
rate_options	array	All pricing tiers for this room (see below)
rate_options_count	integer	Number of rate options available

Rate options structure

Each entry in rate_options contains:

Field	Type	Description
price	number	Price for this specific rate
public_price	number	Non-Genius price (original price if Genius discount applied)
max_guests	integer	Guest count this rate is designed for
is_refundable	boolean	Free cancellation available
is_genius	boolean	Whether this is a Genius-discounted rate
is_wholesale	boolean	Whether this is a partner/wholesale (bbasic) rate. Always false unless includeWholesaleRates: true
original_price	number	Pre-discount price (null if none)
free_cancellation_until	string	Last date for free cancellation (YYYY-MM-DD)
taxes_and_fees	number	Taxes shown in DOM
meal_plan	string	Meal plan for this rate
block_id	string	Booking.com internal block ID
taxes_included	number	Taxes from Booking's JSON data (included in price)
taxes_excluded	number	Taxes from Booking's JSON data (excluded from price)
stay_prices	object	Price per number of nights (LOS pricing data)
book_now_pay_later	boolean	Deferred payment available

💡 Note: Rate options only include rates that match your search parameters (e.g., searching for 2 adults filters out 1-person-only rates). Partner/wholesale rates (bbasic) are excluded by default — enable includeWholesaleRates to capture them, tagged separately as is_wholesale so they never mix with retail rates.

Example output

{
  "hotel_url": "https://www.booking.com/hotel/ma/savoy-le-grand.html",
  "hotel_name": "Savoy Le Grand Hotel Marrakech",
  "scrape_timestamp": "2026-03-17T22:20:20Z",
  "proxy_country": "FR",
  "check_in_date": "2026-03-17",
  "check_out_date": "2026-03-18",
  "room_id": 160633804,
  "room_name": "Prestige Double Room with Pool View",
  "room_name_clean": "Prestige Double Room with Pool View",
  "bed_type": "1 extra-large double bed",
  "max_guests": 1,
  "room_size_sqm": 43,
  "room_view": "Pool view",
  "has_private_bathroom": true,
  "facilities": [
    "Room", "463 feet²", "Balcony", "Pool view", "Air conditioning",
    "Ensuite bathroom", "Flat-screen TV", "Soundproofing", "Terrace",
    "Coffee machine", "Minibar", "Free WiFi", "..."
  ],
  "room_amenities": ["balcony", "air conditioning", "soundproofing", "terrace", "minibar"],
  "currency": "USD",
  "price": 186,
  "price_primary": 186,
  "price_public": 186,
  "original_price": 207,
  "discount_percent": 10,
  "rooms_left": null,
  "availability_status": "available",
  "stock_confidence": "hidden",
  "meal_plan": "breakfast",
  "is_breakfast_included": true,
  "is_refundable": false,
  "book_now_pay_later": true,
  "taxes_included": null,
  "taxes_excluded": null,
  "has_wholesale_rate": false,
  "rate_options": [
    {
      "price": 186,
      "public_price": 186,
      "max_guests": 1,
      "is_refundable": false,
      "is_genius": false,
      "is_wholesale": false,
      "original_price": 207,
      "meal_plan": "breakfast",
      "block_id": "160633804_419828305_1_1_0",
      "taxes_excluded": null,
      "book_now_pay_later": true
    }
  ],
  "rate_options_count": 1
}

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🔍 Understanding key fields

price vs. price_primary vs. price_public

Field	What it is	When to use
price	Absolute cheapest option (may be 1-person or restricted)	Quick market scan
price_primary	Best price for standard 2-guest occupancy	Revenue management benchmarking
price_public	Non-Genius public rate (strips Genius discounts)	Competitor comparison — most travelers don't have Genius

💡 For competitive analysis, use price_public. Genius discounts (10–20%) make prices look artificially low. price_public gives you the rate that most travelers actually see.

proxy_country

Booking.com prices the same room differently depending on the visitor's location (geo-pricing). The proxy_country field tells you which source market each result was scraped from. Running multiple proxyCountries in one job lets you compare cohorts side by side — e.g. how a French visitor, a US visitor, and a UK visitor each see the same property.

💡 For clean cohort comparison, keep currency fixed across all countries. Otherwise you mix two variables: the geo-pricing cohort and the currency conversion.

availability_status

Status	Meaning	Revenue insight
available	Rooms widely available	Normal market conditions
low_availability	Inventory signal from internal data	Demand is building
low_availability_urgent	Booking.com shows a visible scarcity alert	High demand — act on pricing
sold_out	No rooms available for this date	Peak demand — opportunity to optimize your rates

stock_confidence

Value	Source	Reliability
exact	DOM scarcity badge visible on page	High — Booking.com shows this to create urgency
capped	rooms_left = 10 from internal JSON	Medium — actual stock is ≥ 10
hidden	rooms_left = null — no signal from either source	Low — Booking.com not revealing stock level

rooms_left

Booking.com reveals availability through two channels, both captured by this scraper:

Source	How it works
Internal JSON (b_nr_stays)	Booking's internal stock data embedded in page scripts. Always captured when available.
DOM scarcity badges	Visible alerts like "Only 3 left!" shown to shoppers. Triggers stock_confidence: "exact".

Value	Meaning
1–9	Real scarcity signal
10	Booking.com display cap — actual inventory is ≥ 10
null	No signal from either source — high availability

facilities vs. room_amenities

Field	What it contains	Example
facilities	Complete list — every feature Booking.com shows for the room (30–40+ items)	"463 feet²", "Pool view", "Air conditioning", "Toilet paper", ...
room_amenities	Premium features only — the differentiators that affect pricing	"balcony", "minibar", "soundproofing", "spa bath"

Use facilities for full room comparison. Use room_amenities for quick tier classification.

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💡 Tips for best results

• Start with 7–30 days to validate your setup, then scale to 365
• Schedule daily runs with Apify Scheduler — hotel prices change constantly
• Use Apify Proxy (useApifyProxy: true) for better success rates on large runs
• Monitor up to 10 hotels per run for optimal speed and reliability
• Track sold-out patterns over time to map demand cycles in your market
• Compare rate_options to analyze refundable vs. non-refundable pricing strategies
• Use price_public (not price) when comparing against your own rates — strips Genius discounts
• Use facilities to match comparable room types across different hotels
• Compare proxyCountries to see geo-pricing differences across your source markets — keep currency fixed for a clean comparison

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🔗 Integrations

Integration	Use case
Apify Scheduler	Automate daily/weekly price monitoring
Webhooks	Get notified when a run completes
API	Pull data programmatically (see API tab)
Google Sheets	Direct export for quick analysis
n8n / Make / Zapier	No-code automation pipelines
JSON / CSV / Excel	Download in any format

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🚀 Use cases

Daily competitor monitoring — Track what your competitive set charges across every room type, every day. See exactly how competitors price their rooms, when they discount, and when they sell out.

Revenue management — Feed room-level market data into pricing decisions. Compare your rates against competitors using matching rate options (same occupancy, same cancellation policy, same meal plan). Use price_public for fair Genius-free comparison.

Geo-pricing analysis — Scrape the same properties from multiple proxyCountries to see how Booking.com prices rooms for visitors from different source markets — useful when your guests come predominantly from specific countries.

Room-type matching — Use facilities, room_size_sqm, and room_view to match comparable rooms across different hotels. A 43m² Prestige room with pool view at Hotel A maps to a similar tier at Hotel B.

Seasonal trend analysis — Scrape 365 days to visualize demand curves, identify shoulder seasons, and plan promotions around events and holidays.

Portfolio benchmarking — Manage multiple properties? Compare each one against its local market at the room-type level.

Travel platform data feeds — Power booking engines, metasearch tools, or dashboards with structured, validated pricing data.

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❓ FAQ

Does this work with any Booking.com property? Yes — any hotel, resort, riad, apartment, or boutique property listed on Booking.com, in any country. Works with small riads (5 rooms) and large hotels (100+ rooms).

What currencies are supported? All currencies available on Booking.com: USD, EUR, GBP, MAD, AED, SAR, JPY, and 30+ more.

What does rooms_left: null mean? Booking.com is not displaying a scarcity alert for this room — it has comfortable availability. When inventory drops, Booking.com shows alerts like "Only 3 left!" and rooms_left captures that exact count.

What does rooms_left: 10 mean? This is Booking.com's display cap. The actual inventory is 10 or more — Booking.com doesn't show exact counts above this threshold.

Why are sold-out dates valuable? Sold-out dates reveal peak demand periods. If a competitor is fully booked, that's a high-demand window where you can optimize your own rates.

What's the difference between price, price_primary, and price_public? price is the absolute cheapest rate. price_primary is the best rate matching standard 2-guest occupancy. price_public strips Genius discounts to show the rate most travelers actually see — use this for competitive benchmarking.

What are Genius rates and why does price_public matter? Booking.com Genius gives 10–20% discounts to frequent bookers. price_public always shows the non-Genius price, giving you the rate that the majority of travelers see. This is critical for fair competitor comparison.

What are bbasic rates and can I include them? Booking.com sometimes shows "Tarif Prestataire" (partner/wholesale rates) from third-party resellers. By default the scraper skips them, since they aren't representative of the hotel's own retail pricing. If you need them — common in some Asian markets — set includeWholesaleRates: true and they'll be captured and tagged with is_wholesale: true, kept separate from retail rates so the two never mix.

How does proxyCountries work? The actor runs once per country in the list, routing through a residential proxy for that market, and tags every result with proxy_country. This reveals Booking.com's geo-pricing — how the same room is priced for visitors from different countries. Requires useApifyProxy: true. Keep currency fixed across countries for a clean comparison.

How does the scraper handle large hotels with many room types? Hotels with 9+ room types use a different DOM structure. The scraper handles this automatically by grouping rate rows by room ID and matching them to room type cells.

How often should I run this? For active revenue management, daily runs are recommended. Prices and availability on Booking.com change frequently — sometimes multiple times per day.

Can I scrape more than 10 hotels? For optimal reliability, each run handles up to 10 hotels. For larger sets, schedule multiple runs or use the Apify API to batch them.

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📝 Changelog

v2.2.0 — June 2026

• ✅ Multi-country proxy — proxyCountries field scrapes from multiple source markets in one run; each result tagged with proxy_country for geo-pricing comparison
• ✅ Wholesale rates — includeWholesaleRates flag captures partner/bbasic rates, tagged separately as is_wholesale (and has_wholesale_rate at the room level), kept separate from retail
• ✅ Resilient registry load — room-registry navigation now retries with IP rotation, so a single dead proxy IP no longer blocks sold-out detection for the whole hotel

v2.1.1 — March 2026

• ✅ Fixed multi-room extraction — removed name-based deduplication that caused rooms to be silently skipped; roomId is now the single source of truth for deduplication
• ✅ Robust fallback names — rooms with missing DOM names now use Room_{id} instead of colliding on "Unknown Room"
• ✅ Cleaner bbasic handling — partner rate rows correctly skipped at both cell and row level across all hotel sizes
• ✅ stay_prices (LOS data) — length-of-stay pricing matrix extracted from Booking's internal JSON (b_stay_prices)
• ✅ taxes_included / taxes_excluded — tax breakdown extracted from b_included_charges / b_excluded_charges
• ✅ book_now_pay_later — deferred payment flag extracted from b_book_now_pay_later
• ✅ stock_confidence — distinguishes exact (DOM badge), capped (JSON ≥ 10), and hidden (no signal)

v2.1.0 — March 2026

• ✅ Cell-based extraction — handles hotels with 9+ room types in a single table
• ✅ Full facilities list — 30–40+ items per room (size, view, bathroom, amenities)
• ✅ price_public — non-Genius public rate for fair competitor comparison
• ✅ room_size_sqm — extracted from real room cell (not partner rate cell)
• ✅ room_view — extracted from facilities and room name
• ✅ has_private_bathroom — boolean from room facilities
• ✅ room_amenities — premium features for tier classification
• ✅ Genius detection — is_genius flag per rate option with public_price extraction

v2.0.3 — March 2026

• ✅ Clean output schema — reduced from 35+ fields to 22 focused fields
• ✅ Accurate max_guests — uses Booking.com's data-fltrs attribute
• ✅ fit filtering — rate options only include rates matching your search parameters
• ✅ Fixed rooms_left extraction — expanded JSON parsing window
• ✅ Fixed is_breakfast_included — correctly detects all Booking.com breakfast formats
• ✅ price_primary — new field for revenue management benchmarking

v2.0.0 — February 2026

• ✨ Room-by-room extraction with multiple rate options per room
• ✨ rooms_left + availability_status availability tracking
• ✨ Discount detection with original price and percentage
• ✨ Meal plan and cancellation policy extraction
• ✨ Sold-out detection across date ranges

v1.0.0 — February 2026

• Initial release

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💬 Support & feature requests

Have a question, found a bug, or want a new feature? → Open an issue on the Issues tab.

Want a custom solution for your revenue management needs? → Reach out via Issues.

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Built by NoraView Intelligence — AI-powered revenue management for independent hotels.

Track Booking.com prices by room type, per night, up to 365 days ahead. Get rooms_left, rate options, meal plans, discounts, refundable pricing, sold-out detection, full facilities, room size, view, Genius rate detection, wholesale/partner rates, and multi-country geo-pricing. Clean structured output for revenue management and competitive analysis. CSV, JSON, HTML, Excel.