🕷️ Travel & Reviews

Booking.com Scraper — Extract
Booking.com Data Automatically

Extract hotel pricing, room availability, aggregate ratings, detailed guest reviews, and property amenities from Booking.com. Our Booking.com scraper handles dynamic pricing variations, date-specific queries, and geo-targeted pricing — empowering travel agencies, hospitality consultants, and pricing analysts to stay competitive.

Quick Summary: Booking.com Scraper

What it does: Automatically extracts structured data from Booking.com.
Key data points: hotel name, nightly rate, room type and more.
Top use case: dynamic hotel pricing and competitor benchmarking.
Delivery formats: CSV, Excel, JSON, API, or direct database sync.

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api.datascraper.in/v1/extract/booking-com-scraper

const response = await scraper.run({
  platform: 'Booking.com',
  format: 'json',
  fields: [
    'hotel_name',
    'nightly_rate',
    'room_type',
    'overall_rating_out_of_10_',
    'individual_guest_reviews_text_score_date_traveler_type_',
  ]
});

// Output (1000s of records generated)
[
  {
    "hotel_name": "Extracted Data...",
    "nightly_rate": "Extracted Data...",
    "room_type": "Extracted Data...",
    "overall_rating_out_of_10_": "Extracted Data...",
  },
  ...
]

Data You Get

What We Extract From Booking.com

Schema Definition

Ready for Export

`"hotel_name":`	Hotel name and property ID
`"nightly_rate":`	Nightly rate and total price
`"room_type":`	Room type and availability status
`"overall_rating_out_of_10_":`	Overall rating (out of 10) and total review count
`"individual_guest_reviews_text_score_date_traveler_type_":`	Individual guest reviews (text, score, date, traveler type)
`"property_amenities":`	Property amenities and facilities
`"gps_coordinates":`	GPS coordinates and neighborhood
`"distance_to_center":`	Distance to center and landmarks
`"cancellation_policies":`	Cancellation policies and meal inclusions

★Custom fields & specific attributes available on request.

Use Cases

Why Businesses Use Our Booking.com Scraper

Dynamic hotel pricing and competitor benchmarking

Travel market trend analysis

Hospitality review sentiment analysis

Yield management for property owners

Real-time booking aggregation for travel startups

Process

How Our Booking.com Scraper Works

📋

Share Requirements

Tell us which Booking.com pages to target, what fields you need, and how often.

⚙️

We Build the Scraper

Our engineers configure the Booking.com Scraper with proxy rotation, anti-bot bypass, and data cleaning.

📦

Receive Clean Data

Structured Booking.com data delivered in your preferred format — CSV, JSON, API, or database.

Why DataScraper?

DataScraper vs Building It Yourself

You're too big for manual copy-paste, too small to justify a full scraping infrastructure team. DataScraper is built for exactly that gap.

Feature	Build Yourself	SaaS Tool	✓ DataScraper
Setup Time	2–4 weeks	Minutes	48 hours
Anti-Bot Handling	Manual	Limited	Enterprise proxies
Maintenance	You maintain it	Tool updates break it	We maintain
Cost	$500–2,000/mo dev	$99–499/month	Starts from $20
Data Quality	Variable	Generic	QA verified
Support	None	Email tickets	WhatsApp direct
Delivery Time	Weeks	Hours	48 hours

Anti-Bot Technology

Booking.com is One of the Most Aggressively Bot-Protected Sites on the Internet. We Handle It Automatically.

Our infrastructure is purpose-built to bypass Cloudflare, DataDome, PerimeterX, and reCAPTCHA at scale — so you always get clean data, not block pages. 99.2% success rate across all active scrapers.

Rotating residential proxies across 50+ countries

Browser fingerprint randomization (Playwright stealth)

Rate limiting that mimics human browsing behaviour

CAPTCHA bypass (2captcha / AntiCaptcha integration)

Self-healing parsing — site layout changes don't break your feed

What We Handle

Cloudflare Bot ManagementDataDomePerimeterXreCAPTCHA v3ImpervahCaptcha

Never blocked. 99.8% uptime on all production scrapers.

Delivery

Data in Your Preferred Format

📊

CSV / Excel

Ready-to-use spreadsheet

💾

JSON / XML

Structured for developers

🔌

REST API

Real-time endpoint

🗄️

SQL Database

MySQL / PostgreSQL

📋

Google Sheets

Live-updating sheet

☁️

Amazon S3

Cloud storage delivery

Sample Data

See What Your Booking.com Data Looks Like

We send a free sample before any payment. Here's what a typical data row looks like — clean, structured, and ready to use.

booking.com_sample.json

[
  {
    "hotel_name_and_property_id": "Booking.com — Sample Record #1",
    "nightly_rate_and_total_price": "$49.99",
    "room_type_and_availability_status": 4.7,
    "source_url": "https://booking.com.com/item/12345",
    "scraped_at": "2025-06-28T10:32:00Z"
  },
  { "...": "50–100 records in free sample" }
]

Free sample of 50–100 records provided before payment. No credit card required.

❓ FAQ

Frequently Asked Questions

Everything you need to know about our web scraping services.

Yes. Booking.com pricing is entirely date-dependent. We parameterize our scrapers to query your target properties with exact check-in and check-out dates, occupancy rules (number of adults/children), and currencies.

Yes. We extract individual guest reviews including the review title, full text, individual scores (cleanliness, comfort, value), traveler type (solo, couple, family), and the stay date — which is perfect for deep sentiment analysis.

Booking.com uses aggressive anti-scraping measures. We use rotating residential proxies localized to the target search region, headless browsers that render JavaScript, and human-like interaction patterns to bypass these protections.

Yes. Alongside pricing, we capture room availability, "only X rooms left" alerts, and sold-out indicators for specific date ranges, giving you insights into market occupancy.

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