Booking.com Scraper avatar

Booking.com Scraper

Pricing

from $0.97 / 1,000 scraped results

Try for free
Go to Apify Store
Booking.com Scraper

Booking.com Scraper

Try for free

Scrapes hotels from Booking.com search results with optional hotel details, availability pricing calendar, and guest reviews.

Pricing

from $0.97 / 1,000 scraped results

Rating

0.0

(0)

Developer

Rigel Bytes

Rigel Bytes

Maintained by Community

Actor stats

0

Bookmarked

1

Total users

0

Monthly active users

14 hours ago

Last modified

Categories

MCP servers

Real estate

Integrations

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Extract hotel listings, nightly prices, review scores, and availability from Booking.com to power travel market research, price monitoring, and competitor analysis — from just $1 per 1,000 hotels. Search any destination, set your check-in and check-out dates, and get clean, structured data you can export to JSON, CSV, or Excel.

Booking.com Scraper — input to structured data

What can Booking.com Scraper do for you?

  • 🔍 Search any destination — type a city or region (e.g. "Berlin, Germany") and the Actor resolves it via Booking.com autocomplete automatically.
  • 🏨 Pull complete hotel listings — name, address, coordinates, price, review score, review count, and main image for every property.
  • 🛏 Enrich with full hotel details — facilities, house rules, surroundings, property FAQ, and description when you enable hotelDetails.
  • 📅 Track availability & pricing — extract a year-round availability calendar with daily pricing per hotel using scrapeAvailability.
  • 💬 Collect guest reviews — review scores, reviewer details, room type, and pros/cons text with scrapeReviews.
  • 📦 Export anywhere — download results as JSON, CSV, or Excel, or pull them straight into your pipeline via the Apify API.

What data can you extract from Booking.com?

FieldWhat you get
🏨 Hotel name & IDHotel name, Booking.com hotel ID, and page URL
📍 LocationCity, street address, country code, latitude and longitude
💰 PriceNightly price for your selected dates, plus currency
⭐ Review scoreAverage score, total review count, and label (e.g. Very Good)
🖼 ImageMain hotel photo URL
🛏 FacilitiesGrouped facilities, languages spoken, and "relevant for your trip" highlights (optional)
🏠 House rulesCheck-in/out times, minimum check-in age, and policies (optional)
🚇 SurroundingsNearby transport, landmarks, restaurants, and airports (optional)
📅 AvailabilityDaily availability and price for a full year (optional)
💬 Guest reviewsScore, reviewer name/country, traveler type, room type, pros & cons (optional)

Why use this scraper?

  • 🔎 Travel market research — benchmark hotel supply, average rates, and review scores across any destination.
  • 📈 Price monitoring — track how room rates change over time by re-running the Actor on a schedule.
  • 🏢 Competitor analysis — compare pricing, facilities, and ratings across competing properties.
  • 🗄️ Build a hotel database — assemble a structured directory of hotels for an OTA, app, or analytics tool.
  • 💬 Reputation analysis — mine guest reviews to understand what travelers love (and complain about).
  • 🤖 Automate manual work — replace copy-paste research with a scheduled, hands-off data pipeline.

Pricing

Booking.com Scraper uses Apify's pay-per-event model, so you only pay for the data you actually extract.

  • Scraped results: $1 per 1,000 hotels — every hotel listing counts as one result.
  • Hotel details: +$1 per 1,000 — charged only when you enable hotelDetails.
  • Availability calendar: +$0.10 per 1,000 — charged only when you enable scrapeAvailability.
  • Guest reviews: +$1 per 1,000 — charged only when you enable scrapeReviews.
  • No hidden fees or limits on usage.
  • Apify's Bronze, Silver, and Gold plan discounts reduce the per-event rate further.

Prices are set on the Actor's Pricing tab and may change — check the current rate in the Apify Console.

How to use Booking.com Scraper

  1. Create a free Apify account at apify.com (no credit card required to start).
  2. Open the Booking.com Scraper and click Try for free.
  3. Enter a destination in searchQueries (e.g. "Paris") and set your checkIn / checkOut dates.
  4. (Optional) Enable hotelDetails, scrapeAvailability, or scrapeReviews to enrich each hotel.
  5. Set maxItems to cap the number of hotels (set 0 for unlimited).
  6. Click Start and wait for the run to finish.
  7. Download your results from the Dataset tab as JSON, CSV, Excel, HTML, or XML — or access them via API.

Input

The Actor accepts the following fields (all configured in the Input tab of the Apify Console):

FieldTypeDescription
searchQueriesarrayDestinations to search as plain strings (e.g. "Berlin, Germany"). Destination IDs are resolved automatically.
startUrlsarrayOptional direct search-results or hotel page URLs to scrape instead of queries.
checkInstringCheck-in date in YYYY-MM-DD format.
checkOutstringCheck-out date in YYYY-MM-DD format.
adultsintegerNumber of adults per room (default 1).
roomsintegerNumber of rooms (default 1).
childrenintegerNumber of children (default 0).
childrenAgesarrayAges of children, one integer per child.
maxItemsintegerMaximum number of hotels to scrape (0 = unlimited, default 10).
hotelDetailsbooleanExtract facilities, house rules, surroundings, FAQ, and description (default false).
scrapeAvailabilitybooleanExtract the year-round availability calendar with daily pricing (default false).
scrapeReviewsbooleanExtract guest reviews for each hotel (default false).
maxReviewsintegerMaximum reviews per hotel (0 = unlimited, default 10).
langstringBooking.com language code (e.g. en-us, de, fr, es, it, nl, pt-pt).
currencystringPreferred currency code for prices (default EUR).
proxyConfigurationobjectProxy settings for anti-bot protection.

📝 Copy for Use:

{
    "searchQueries": ["Berlin, Germany"],
    "checkIn": "2026-09-25",
    "checkOut": "2026-09-27",
    "adults": 1,
    "rooms": 1,
    "children": 0,
    "maxItems": 10,
    "hotelDetails": true,
    "scrapeAvailability": true,
    "scrapeReviews": true,
    "maxReviews": 10,
    "lang": "en-us",
    "currency": "EUR",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Why Choose This Scraper?

  • Affordable: Pay only $1 per 1,000 hotels scraped — optional details, availability, and reviews are charged separately, only when you enable them.
  • Comprehensive: From core listing fields to full details, year-round availability, and guest reviews, all in a single run.
  • Easy to Use: Search by a simple destination name — the Actor resolves Booking.com IDs for you, no manual URL building required.
  • Reliable: Built on Apify's platform with residential proxy support to keep your runs stable and your data consistent.

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Learn More About Proxies

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  • No Extra Cost: You pay the same price, but part of it goes to supporting our efforts.

Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

API Examples

Run the Actor programmatically using the Apify API.

Python

pip install apify-client
from apify_client import ApifyClient


client = ApifyClient("YOUR_APIFY_TOKEN")


run_input = {
    "searchQueries": ["Berlin, Germany"],
    "checkIn": "2026-09-25",
    "checkOut": "2026-09-27",
    "adults": 1,
    "rooms": 1,
    "children": 0,
    "maxItems": 10,
    "hotelDetails": True,
    "scrapeAvailability": True,
    "scrapeReviews": True,
    "maxReviews": 10,
    "lang": "en-us",
    "currency": "EUR",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}


run = client.actor("rigelbytes/booking-com-scraper").call(run_input=run_input)


for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["name"], item["price"], item["reviewScore"])

JavaScript

npm install apify-client
import { ApifyClient } from 'apify-client';


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


const runInput = {
    searchQueries: ['Berlin, Germany'],
    checkIn: '2026-09-25',
    checkOut: '2026-09-27',
    adults: 1,
    rooms: 1,
    children: 0,
    maxItems: 10,
    hotelDetails: true,
    scrapeAvailability: true,
    scrapeReviews: true,
    maxReviews: 10,
    lang: 'en-us',
    currency: 'EUR',
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ['RESIDENTIAL'],
    },
};


const run = await client.actor('rigelbytes/booking-com-scraper').call(runInput);


const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const item of items) {
    console.log(item.name, item.price, item.reviewScore);
}

cURL

curl -X POST "https://api.apify.com/v2/acts/rigelbytes/booking-com-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["Berlin, Germany"],
    "checkIn": "2026-09-25",
    "checkOut": "2026-09-27",
    "adults": 1,
    "rooms": 1,
    "children": 0,
    "maxItems": 10,
    "hotelDetails": true,
    "scrapeAvailability": true,
    "scrapeReviews": true,
    "maxReviews": 10,
    "lang": "en-us",
    "currency": "EUR",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
  }'

Scheduling & Deduplication

Scheduling

Hotel prices and availability change constantly, so recurring runs keep your dataset fresh. Open the Scheduler tab on the Actor's page and set up a daily or weekly run. Because the Actor accepts multiple searchQueries, you can schedule separate runs per destination — for example, a daily run for high-demand cities and a weekly run for less volatile markets. Each run writes the search dates used (searchCheckIn / searchCheckOut) into every record, so you can distinguish snapshots over time.

Deduplication

The Actor caps output with maxItems and pushes each hotel as a single dataset item. Records are naturally keyed by the hotelId field, which stays stable across runs — use it to deduplicate when you merge snapshots into a database. If you run the Actor repeatedly and want to merge results without duplicates, key on hotelId:

seen = set()
unique_hotels = []
for item in items:
    if item["hotelId"] not in seen:
        seen.add(item["hotelId"])
        unique_hotels.append(item)

Webhooks

Trigger a webhook when a run finishes to push new results into your downstream pipeline automatically — configure it from the Settings → Webhooks tab or pass webhooks in the API call.

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Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

  • Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
  • Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
  • Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

  1. Residential Proxies
    • Real IP addresses provided by ISPs to home users.
    • They mimic regular users, making them harder to detect.
    • Best for: Long-term, undetectable scraping, and avoiding blocks.
  2. Data Center Proxies
    • IP addresses from servers in data centers.
    • Faster and cheaper than residential proxies but easier to detect and block.
    • Best for: High-speed scraping, but with a higher risk of detection.
  3. Mobile Proxies
    • IPs provided by mobile carriers (3G/4G/5G networks).
    • Very difficult to detect, as they appear as regular mobile users.
    • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

  • Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
  • Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

FAQs & Troubleshooting

Q: Why am I getting empty results?

This usually means Booking.com blocked the request or served a region/currency page you don't expect. Keep the default residential proxy (useApifyProxy: true with apifyProxyGroups: ["RESIDENTIAL"]) enabled, and match the destination's country in your proxy settings. Also double-check that your checkIn / checkOut dates are valid and in YYYY-MM-DD format.

Q: What's the difference between searchQueries and startUrls?

searchQueries accepts plain destination names (e.g. "Paris") and the Actor resolves the Booking.com destination ID via autocomplete for you. startUrls lets you paste ready-made search-results or hotel page URLs when you already know the exact dest_id or property page — useful for replicating a specific filtered search.

Q: What counts as one "result" for billing?

Each scraped hotel is one dataset-item event ($1 per 1,000 hotels). Enabling hotelDetails, scrapeAvailability, or scrapeReviews adds separate per-event charges only for the records where those enrichments run — see the Pricing section for the exact rates.

Q: How do I get the availability calendar and guest reviews?

Set scrapeAvailability: true to pull the year-round daily pricing calendar, and scrapeReviews: true to collect guest reviews (cap the count with maxReviews). Both are off by default and add a small per-event charge when enabled.

Q: What should I do if the Actor fails with "No scrape targets in input"?

That error means neither searchQueries nor startUrls produced a usable destination. Provide at least one valid destination string or a Booking.com search/hotel URL and run again.

Q: How do I download the results as CSV or Excel?

Open the run's Dataset tab and use the Export button to download the data as JSON, CSV, Excel, HTML, or XML. You can also stream results via the Apify API or send them to a webhook for automated processing.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.

Detailed Data

A sample hotel record (enriched with details, availability, and reviews):

[
    {
        "hotelId": 177530,
        "name": "Industriepalast Berlin",
        "url": "https://www.booking.com/hotel/de/industriepalast-berlin.html",
        "pageName": "industriepalast-berlin",
        "countryCode": "de",
        "city": "Berlin",
        "address": "Warschauer Straße 43",
        "latitude": 52.5040844271257,
        "longitude": 13.4472857415676,
        "reviewScore": 8.0,
        "reviewCount": 5803,
        "reviewScoreText": "Very Good",
        "price": "S$ 102.85",
        "priceRounded": "S$ 103",
        "currency": "SGD",
        "imageUrl": "https://cf.bstatic.com/xdata/images/hotel/square600/488699632.webp",
        "sourceQuery": "Berlin",
        "searchCheckIn": "2026-09-25",
        "searchCheckOut": "2026-09-27",
        "houseRules": {
            "checkInFrom": "3:00 PM",
            "checkInUntil": "11:30 PM",
            "checkOutUntil": "10:00 AM",
            "minCheckInAge": 18
        },
        "facilities": {
            "relevantForYourTrip": [
                "Free Wifi",
                "Parking",
                "Pet friendly",
                "Non-smoking rooms",
                "Family rooms"
            ],
            "spokenLanguages": ["ar", "de", "en", "es", "it"]
        },
        "availability": [
            { "date": "2026-09-25", "available": true, "price": "56", "minLengthOfStay": 2 },
            { "date": "2026-09-26", "available": false, "price": "0", "minLengthOfStay": 1 },
            { "date": "2026-09-27", "available": true, "price": "46", "minLengthOfStay": 1 }
        ],
        "guestReviews": {
            "summary": { "totalReviewCount": 5802 },
            "reviews": [
                {
                    "reviewScore": 9.0,
                    "guestName": "Héloïse",
                    "guestCountry": "France",
                    "guestType": "Solo traveler",
                    "roomType": "Single Bed in Female Dormitory Room",
                    "positiveText": "Everything went great, the location is perfect...",
                    "negativeText": "The rooms didn't have air con..."
                }
            ]
        }
    }
]

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Booking.com Scraper for Hotel Prices & Reviews

runtime/booking-scraper

Extract Booking.com hotel search results with prices, ratings, review counts, addresses, coordinates, direct hotel URLs, filters, and optional room details.

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scraping automation

85

1.2

(2)

Booking.com Scraper API - Hotels, Prices, Ratings & Rooms avatar

Booking.com Scraper API - Hotels, Prices, Ratings & Rooms

makework36/fast-booking-scraper

Scrape Booking.com hotel listings, prices, ratings, reviews, and rooms by destination and dates. Fast Playwright extraction with residential proxy.

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deusex machine

39

Booking.com Scraper - Hotel Prices & Reviews avatar

Booking.com Scraper - Hotel Prices & Reviews

pear_fight/booking-scraper

Scrape Booking.com hotels, prices, reviews & availability. Extract star ratings, guest scores, room types, nightly rates, amenities, locations. Search by destination and dates. No login needed. Pay per result. Export JSON/CSV.

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Harald

36

Booking.com Scraper — Hotel Listings & Prices API avatar

Booking.com Scraper — Hotel Listings & Prices API

nexgendata/booking-com-scraper

Extract hotel listings from Booking.com — prices, reviews, ratings, amenities & availability. Build travel price comparison tools, market analysis & hospitality intelligence. Pay per listing.

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NexGenData

35

Booking.com Scraper — Hotels, Prices & Reviews avatar

Booking.com Scraper — Hotels, Prices & Reviews

brilliant_gum/booking-pro-full-data-scraper

Extract 27 data fields from Booking.com: prices, reviews, amenities, photos, rooms, GPS coordinates and more. Includes up to 25 reviews per hotel. Tested with 1000+ hotels per city.

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Yuliia Kulakova

34

Booking.com Scraper — Hotels, Reviews, Calendar & Reviews API avatar

Booking.com Scraper — Hotels, Reviews, Calendar & Reviews API

sian.agency/booking-com-scraper

Scrape Booking.com hotels, reviews, calendar pricing, photos, facilities & policies via one API. Property-forensics bundle returns 10+ enrichment fields per hotel in a single row. Lean search mode also available at commodity per-place pricing. No login or API key needed.

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SIÁN OÜ

26

Booking.com Scraper avatar

Booking.com Scraper

shahidirfan/booking-com-scraper

Scrape Booking.com hotel listings with ease. Extract prices, reviews, availability & ratings instantly. Perfect for price monitoring, travel market research, competitor analysis & accommodation data collection. Scale your data insights.

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Shahid Irfan

21

5.0

(7)

Booking.com Scraper With Property Contact Leads avatar

Booking.com Scraper With Property Contact Leads

simpleapi/booking-scraper

🏨 BookingScraper extracts real-time hotel and apartment data from Booking.com — prices, availability, ratings, reviews, amenities, photos & location. 🔎 Ideal for market research, price monitoring, travel SEO & competitor analysis. ⚡ Fast, scalable API + CSV/JSON export.

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SimpleAPI

16

Booking.com Scraper - Pay Per Result avatar

Booking.com Scraper - Pay Per Result

silentflow/booking-scraper-ppr

Booking.com scraper. Only pay for hotels returned - no compute costs, no proxy fees. Extract prices, ratings, reviews, locations. 20+ data points per hotel. No charge for failed runs or empty results. Predictable pricing, guaranteed data.

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SilentFlow

16