Booking.com Rates Scraper

Booking.com Rates Scraper

Booking.com Rates Scraper builds a hotel rate calendar from Booking.com: one row for every property, check-in date, length of stay and occupancy you choose, with price, taxes, discount, cancellation terms, meal plan and sold-out status.

Give it hotel names, Booking.com URLs or property IDs and a date range, and get a time-stamped rate grid across lengths of stay, occupancies and 51 currencies, with optional rates for up to 100 other properties priced for the same stay.

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Apify Actor: parsebird/booking-rates-scraper. Scrapes hotel rates from Booking.com as one row per property, check-in date, length of stay and occupancy, without login. Call via ApifyClient: client.actor("parsebird/booking-rates-scraper").call(run_input={"hotels": ["The Savoy, London", "https://www.booking.com/hotel/gb/claridge-s.en-gb.html"], "checkinFrom": "2026-12-01", "checkinTo": "2026-12-30", "losNights": ["1", "2"], "occupancy": ["2"], "currency": "GBP", "includeCompetitors": false, "maxItems": 400}). Inputs: hotels (array of strings, required; hotel names, Booking.com URLs or numeric property IDs), checkinFrom (string YYYY-MM-DD, default tomorrow), checkinTo (string YYYY-MM-DD, default 14 check-in dates), losNights (array of strings, 1 to 30 nights, default ["1","2"]), occupancy (array of strings, 1 to 8 adults, default ["2"]), currency (string, three-letter code, default USD), includeCompetitors (boolean, default false), maxItems (integer, default 100). Output fields: hotelId, hotelName, hotelUrl, slug, stars, reviewScore, reviewsCount, checkin, checkout, nights, adults, rooms, soldOut, currency, totalPrice, pricePerNight, priceBeforeDiscount, taxesAndCharges, roomName, bedrooms, beds, mealPlan, breakfastIncluded, freeCancellation, freeCancellationUntil, noPrepayment, geniusRateAvailable, address, district, distanceFromCentre, city, countryCode, latitude, longitude, isCompetitor, comparedToHotelId, comparedToHotelName, scrapedAt. Read results with client.dataset(run["defaultDatasetId"]).iterate_items(). API reference: https://apify.com/parsebird/booking-rates-scraper/api. Get a token: https://console.apify.com/settings/integrations.

What is Booking.com Rates Scraper?

Booking.com Rates Scraper is a Booking.com hotel price tracker that works as a Booking.com API alternative. Booking.com shows you one price for one stay at a time. This Actor turns that into a table, so you can see how a hotel's rate moves across dates, lengths of stay and occupancies, and how it compares with the properties around it.

To try it, click Start with the prefilled input. It prices The Savoy in London for the next 14 check-in dates, at 1 and 2 nights for 2 adults, and returns 28 rows in seconds. Download the results as JSON, CSV or Excel, or read them with the Apify API.

What can Booking.com Rates Scraper do?

• 🗓️ Build a rate calendar for any check-in range, up to about 500 days ahead.
• 🏨 Accept hotels your way: names like The Savoy, London, Booking.com property URLs, or numeric property IDs, all in one list.
• 🛏️ Compare stay patterns with up to 14 lengths of stay and 8 occupancies in a single run.
• 💱 Price in 51 currencies, including USD, EUR, GBP, JPY and AED.
• 🚫 Flag sold-out dates as rows with soldOut: true and empty prices, so gaps in availability stay visible.
• 📊 Add competitor rates for up to 100 other properties from Booking.com's search results for the same stay.
• 🧾 Report the outcome in the run's status, such as Saved 28 rate rows. 8 sold out., and mark a run as failed when nothing could be loaded.

Because it runs on Apify, you also get:

• Scheduling for daily or weekly price snapshots
• API access with Python and JavaScript clients
• Integrations with Make, Zapier, Google Sheets, Slack and webhooks
• Export to JSON, CSV, Excel, XML and HTML

What data can you extract from Booking.com?

One row per property × check-in date × length of stay × occupancy.

Field	Description
hotelId, hotelName, hotelUrl, slug	Property identity and link
checkin, checkout, nights, adults, rooms	The stay this rate belongs to. rooms can be above 1 when Booking.com splits a large party across rooms
soldOut	true when the property has no availability for this stay. Prices and room details are then null
totalPrice, pricePerNight, currency	The price Booking.com shows in search results for the whole stay, and that price divided by the nights
priceBeforeDiscount	The struck-through price when the property runs a deal
taxesAndCharges	The extra Booking.com lists as not included in totalPrice. null when it shows none separately
roomName, bedrooms, beds	The unit the rate was matched to, where Booking.com labels it
mealPlan, breakfastIncluded	What the rate includes
freeCancellation, freeCancellationUntil, noPrepayment	Booking conditions attached to the rate
geniusRateAvailable	Whether Booking.com marks a Genius loyalty rate on the listing
stars, reviewScore, reviewsCount	Property quality signals. null when the property has none
address, district, distanceFromCentre, city, countryCode, latitude, longitude	Location
isCompetitor, comparedToHotelId, comparedToHotelName	false for your properties. On competitor rows, the property they were priced alongside
scrapedAt	When the rate was captured, the key for your time series

How to scrape Booking.com rates

1. Open Booking.com Rates Scraper and click Try for free.
2. In Properties, add hotel names, Booking.com URLs or property IDs, one per line. URLs and IDs identify a property exactly.
3. Set First check-in date and Last check-in date, or leave them empty for the next 14 dates.
4. Choose your Lengths of stay and Occupancy.
5. Pick a Currency and set Maximum rate rows.
6. Click Start and wait for the run to finish.
7. Download the dataset as JSON, CSV or Excel, or connect it to your tools with the API.

To build a price history, save the input as a task and schedule it to run daily. Each run's scrapedAt separates your snapshots.

Input parameters

Only hotels is required.

Parameter	Type	Required	Default	Description
hotels	array of strings	Yes	—	Hotel names, Booking.com property URLs or numeric property IDs
checkinFrom	string	No	Tomorrow	First check-in date, YYYY-MM-DD
checkinTo	string	No	14 dates from the start	Last check-in date, YYYY-MM-DD. Dates more than about 500 days ahead are dropped
losNights	array of strings	No	["1", "2"]	Nights per stay, from 1 to 30
occupancy	array of strings	No	["2"]	Adult counts, from 1 to 8
currency	string	No	USD	Three-letter currency code for all rates
includeCompetitors	boolean	No	false	Also save up to 100 other properties for the same stay, billed separately
maxItems	integer	No	100	Stop after this many rate rows for your properties. Competitor rows are not counted

Example: a 90-day rate calendar for two London hotels at two lengths of stay.

{
    "hotels": ["The Savoy, London", "https://www.booking.com/hotel/gb/claridge-s.en-gb.html"],
    "checkinFrom": "2026-12-01",
    "checkinTo": "2027-02-28",
    "losNights": ["1", "2"],
    "occupancy": ["2"],
    "currency": "GBP",
    "includeCompetitors": false,
    "maxItems": 400
}

Rate rows are properties × dates × lengths of stay × occupancies. Ten hotels over 90 dates with 3 lengths of stay and 2 occupancies is 5,400 rows, so use maxItems to cap a run. The earliest dates are priced first, for all your properties together, so a low cap still covers every hotel.

Output example

Real rows from test runs: a rate row with taxes listed separately, and a competitor row with a discount.

[
    {
        "hotelId": 38056,
        "hotelName": "Claridge's, Maybourne",
        "hotelUrl": "https://www.booking.com/hotel/gb/claridge-s.en-gb.html",
        "slug": "claridge-s",
        "stars": 5,
        "reviewScore": 9.2,
        "reviewsCount": 504,
        "checkin": "2026-11-18",
        "checkout": "2026-11-19",
        "nights": 1,
        "adults": 2,
        "rooms": 1,
        "soldOut": false,
        "currency": "USD",
        "totalPrice": 3006.22,
        "pricePerNight": 3006.22,
        "priceBeforeDiscount": null,
        "taxesAndCharges": 601.24,
        "roomName": "Claridge’s Studio",
        "bedrooms": null,
        "beds": 1,
        "mealPlan": null,
        "breakfastIncluded": false,
        "freeCancellation": true,
        "freeCancellationUntil": "2026-11-16T00:00:00Z",
        "noPrepayment": true,
        "geniusRateAvailable": false,
        "address": "41 - 43 Brook Street",
        "district": "Westminster Borough, London",
        "distanceFromCentre": "0.9 miles from centre",
        "city": "London",
        "countryCode": "gb",
        "latitude": 51.5126887354378,
        "longitude": -0.147789716720581,
        "isCompetitor": false,
        "comparedToHotelId": null,
        "comparedToHotelName": null,
        "scrapedAt": "2026-11-08T07:20:23.588Z"
    },
    {
        "hotelId": 220590,
        "hotelName": "The Royal Horseguards Hotel, London",
        "stars": 4,
        "reviewScore": 8.6,
        "reviewsCount": 4531,
        "checkin": "2026-12-08",
        "checkout": "2026-12-09",
        "nights": 1,
        "adults": 2,
        "soldOut": false,
        "currency": "EUR",
        "totalPrice": 532.95,
        "pricePerNight": 532.95,
        "priceBeforeDiscount": 592.17,
        "isCompetitor": true,
        "comparedToHotelId": 280149,
        "comparedToHotelName": "The Savoy"
    }
]

The second row is shortened here. Competitor rows carry the same fields as your own rows. Download the full dataset as JSON, CSV, Excel, XML or HTML from the run's Storage tab.

Use the Booking.com Rates Scraper API

Python, with the Apify API client:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")

run = client.actor("parsebird/booking-rates-scraper").call(run_input={
    "hotels": ["The Savoy, London"],
    "losNights": ["1", "2"],
    "occupancy": ["2"],
    "currency": "GBP",
    "maxItems": 50,
})

for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["hotelName"], row["checkin"], row["nights"], row["totalPrice"], row["soldOut"])

JavaScript, with the Apify API client:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });

const run = await client.actor('parsebird/booking-rates-scraper').call({
    hotels: ['The Savoy, London'],
    losNights: ['1', '2'],
    occupancy: ['2'],
    currency: 'GBP',
    maxItems: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((row) => console.log(row.hotelName, row.checkin, row.nights, row.totalPrice, row.soldOut));

Use cases

• Revenue management: see your own rate calendar the way guests see it, across stay lengths.
• Competitive rate shopping: compare your property with others in the same destination for identical stays.
• Rate parity checks: compare Booking.com prices with your direct or other channel prices.
• Occupancy pricing analysis: find out how much a rate changes from 1 to 2 or more adults.
• Market research: record prices and sold-out dates around holidays and events.
• Travel apps: feed hotel prices into a dashboard, an alert or a price comparison tool.

How it works

1. The Actor turns each name or URL into a Booking.com property ID. The log shows which property each name matched.
2. It builds the stay matrix from your dates, lengths of stay and occupancies, starting with the earliest dates.
3. It reads the rate Booking.com shows in search results for each stay, up to eight stays at a time.
4. It saves one row per stay, plus competitor rows if you turned them on.
5. It finishes with a status summary. If the run nears its timeout, it stops about 30 seconds early, keeps everything collected so far, and its status says how many stays were not reached.

How much does it cost to scrape Booking.com?

Booking.com Rates Scraper uses pay-per-event pricing, and the price depends on your Apify plan.

Event	What it covers	Free	Bronze	Silver	Gold
apify-actor-start	One charge when a run starts	$0.005	$0.005	$0.005	$0.005
rate-scraped	Each rate row for your properties, including sold-out rows	$0.00149	$0.00139	$0.00129	$0.00119
competitor-rate-scraped	Each competitor row	$0.00149	$0.00139	$0.00129	$0.00119
Per 1,000 rows		$1.49	$1.39	$1.29	$1.19

For example, the prefilled run of 28 rows costs about $0.05 on the Free plan: $0.005 to start plus 28 rows at $0.00149. A 90-day calendar for two hotels at 2 lengths of stay (360 rows) costs about $0.54. Compute and proxy costs are included in the event price. With competitor rates on, each stay can add up to 100 more rows, so a run with many stays grows quickly.

FAQ

Which price is totalPrice? It's the price Booking.com shows for that stay in its search results. taxesAndCharges is the extra Booking.com lists as not included. Booking.com can show prices with taxes included or excluded depending on the visitor's location, so this split can differ from what you see in your own browser.

Can I use hotel names? Yes. Names use Booking.com's own suggestions and take the first hotel it offers. Include the city, then check hotelName in your results or the run log, which also lists other close matches. When you need one exact property, use its Booking.com URL or numeric ID.

Why is a date sold out when I know the hotel has rooms? soldOut: true means Booking.com showed no availability for that exact stay and occupancy. A different length of stay can still be available, because some hotels set minimum stays.

How far ahead can I check rates? About 500 days. Booking.com stopped returning results after that when we tested in November 2026, and hotels often load their rates for far fewer days, so distant dates can come back sold out.

How many competitors are returned? Up to 100 per stay. In our tests, each stay returned between 84 and 99 unique other properties. They come from Booking.com's own search results for the stay, in Booking.com's order, so they're usually in the same city and aren't sorted by distance. Each row includes coordinates if you want to filter by distance yourself.

Why did my run stop early? A run stops at maxItems, at your spending limit, or about 30 seconds before its timeout. Large matrices need a longer timeout, and the status message says how many stays weren't reached. In our tests, 900 rows took about two minutes.

How much memory should I use? Use the default of 512 MB. Runs need at least 256 MB and stop with a clear message below that.

Can I schedule recurring runs? Yes. Use Apify Schedules to run daily or at any interval, and connect results to your tools with integrations or the API.

Something isn't working. What should I do? Open the Actor's Issues tab and include your run link. We read every report.

Is it legal to scrape Booking.com?

This Actor collects publicly available hotel listing data such as prices, availability and property details, and it doesn't log in or access any account. You're responsible for how you use the data, including compliance with Booking.com's terms and the laws that apply to you. See Apify's guide on whether web scraping is legal, and consult a lawyer if you're unsure. This Actor is not affiliated with or endorsed by Booking.com.

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