🏨 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, 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.

---

🎯 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

---

⚡ Why this over other Booking.com scrapers?

Feature	This Actor	Listing-level scrapers
Data depth	Every room type + rate options	One price per hotel
Date range	Up to 365 days ahead	Single date only
Rate options	Multiple prices per room (refundable, non-refundable, etc.)	Cheapest price only
Bed types	King, Twin, Suite — all differentiated	Not available
Availability	rooms_left + availability_status	Not available
Sold-out detection	Tracks which dates are fully booked	Not available
Meal plans	Breakfast included vs. paid, half-board, all-inclusive	Not available
Discount tracking	Original vs. discounted price + percentage	Basic or none
Guest matching	fit filtering — only shows rates matching your search	Not available

---

📥 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
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
}

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

---

📤 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)
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., "Superior King 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
currency	string	Price currency
price	number	Lowest available price for this room
price_primary	number	Best price for 2-guest standard occupancy (revenue management metric)
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, or sold_out
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
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
max_guests	integer	Guest count this rate is designed for
is_refundable	boolean	Free cancellation available
original_price	number	Pre-discount price (null if none)

💡 Note: Rate options only include rates that match your search parameters (e.g., searching for 2 adults filters out 1-person-only rates). This gives you clean, comparable data.

Example output

{
  "hotel_url": "https://www.booking.com/hotel/ma/longue-vie-hotels.html",
  "hotel_name": "Longue vie Hotels",
  "scrape_timestamp": "2026-03-07T14:08:11Z",
  "check_in_date": "2026-03-07",
  "check_out_date": "2026-03-08",
  "room_id": 824004703,
  "room_name": "Standard Double or Twin Room",
  "room_name_clean": "Standard Double or Twin Room",
  "bed_type": "Choose your bed (if available) 2 single beds 1 large double bed",
  "max_guests": 2,
  "currency": "USD",
  "price": 118,
  "price_primary": 118,
  "original_price": 145,
  "discount_percent": 19,
  "rooms_left": 4,
  "availability_status": "low_availability",
  "meal_plan": "breakfast",
  "is_breakfast_included": true,
  "is_refundable": false,
  "rate_options": [
    {
      "price": 118,
      "max_guests": 2,
      "is_refundable": false,
      "original_price": 130
    },
    {
      "price": 131,
      "max_guests": 2,
      "is_refundable": false,
      "original_price": 145
    }
  ],
  "rate_options_count": 2
}

---

🔍 Understanding key fields

availability_status

Status	Meaning	Revenue insight
available	Rooms widely available	Normal market conditions
low_availability	Booking.com shows scarcity alert	rooms_left has the exact count — demand is building
sold_out	No rooms available for this date	Peak demand — opportunity to optimize your rates

rooms_left

Booking.com displays scarcity signals ("Only 3 left!") when inventory drops below a threshold. This scraper captures that signal.

Value	Meaning
1–9	Exact count shown by Booking.com — real scarcity signal
10	Booking.com display cap — actual inventory is ≥ 10
null	Booking.com is not showing any scarcity alert — high availability

price vs. price_primary

• price = absolute cheapest option (may be 1-person rate or restricted offer)
• price_primary = best price for standard 2-guest occupancy — the rate most travelers actually book. This is the metric revenue managers should use for competitive benchmarking.

---

💡 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_primary (not price) when comparing against your own rates

---

🔗 Integrations

Connect this scraper to your existing workflow:

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

---

🚀 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).

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.

---

❓ 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.

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 and price_primary? price is the absolute cheapest rate (might be a 1-person restricted offer). price_primary is the best rate matching standard 2-guest occupancy — the one revenue managers should benchmark against.

How is this different from Voyager's Booking Scraper? Voyager scrapes hotel listings from search results (many hotels, basic data). This actor scrapes room-level pricing within specific hotels (deep data per property). They serve different use cases and can complement each other.

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.

---

📝 Changelog

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 (most reliable source)
• ✅ fit filtering — rate options only include rates matching your search parameters
• ✅ Fixed rooms_left extraction — expanded JSON parsing window + safety net pass
• ✅ 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

---

💬 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.

---

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, and sold-out detection. Clean structured output for revenue management and competitive analysis. CSV, JSON, HTML, Excel.