Booking.com Data for Bangkok, hotels, prices & reviews
Complete Booking.com dataset for Bangkok, Thailand — hotel listings, nightly rates, availability, guest reviews, ratings, and amenities. Delivered as JSON, CSV, or Excel, refreshed daily.
12,000+ properties
Real guest feedback
Trusted data from leading platforms
Bangkok travel data, without the complexity of building a scraper
Bangkok is one of the world's most visited cities, with millions of travelers booking accommodations every year. But getting reliable, structured hotel data from Booking.com is a major challenge — aggressive anti‑bot measures, dynamic pricing, and complex search parameters make scraping a maintenance nightmare.
The Booking.com — Bangkok Dataset gives you clean, structured data on hotel listings, nightly rates, availability, guest reviews, and amenities. You get the intelligence without the infrastructure.
- Hotel listings — names, addresses, and contact info
- Nightly rates, taxes, and fees
- Availability calendars — up to 90 days in advance
- Guest reviews, ratings, and sentiment insights
- Free sample export before you commit
The same Bangkok hotel records, in whichever format your stack expects
No conversion step, no separate schema to learn – switch formats any time without touching your pipeline.
{
"hotel_name": "The Siam Hotel",
"address": "3/2 Thanon Khao, Bangkok",
"price": 185.00,
"currency": "USD",
"rating": 9.4,
"review_count": 420,
"availability": "available",
"check_in": "2026-09-15",
"check_out": "2026-09-18"
},
{
"hotel_name": "Mandarin Oriental Bangkok",
"address": "48 Oriental Avenue, Bangkok",
"price": 320.00,
"currency": "USD",
"rating": 9.6,
"review_count": 310,
"availability": "available",
"check_in": "2026-09-16",
"check_out": "2026-09-19"
}
]
| hotel_name | address | price | currency | rating | review_count | availability | check_in |
|---|---|---|---|---|---|---|---|
| The Siam Hotel | 3/2 Thanon Khao, Bangkok | 185.00 | USD | 9.4 | 420 | available | 2026-09-15 |
| Mandarin Oriental Bangkok | 48 Oriental Avenue, Bangkok | 320.00 | USD | 9.6 | 310 | available | 2026-09-16 |
| Bangkok Marriott Hotel | 2 Sukhumvit Road, Bangkok | 145.00 | USD | 8.9 | 580 | booked | 2026-09-15 |
| Hostel BKK | 12 Khao San Road, Bangkok | 25.00 | USD | 8.2 | 210 | available | 2026-09-15 |
| A · hotel_name | B · address | C · price | D · currency | E · rating | F · review_count | |
|---|---|---|---|---|---|---|
| 1 | The Siam Hotel | 3/2 Thanon Khao, Bangkok | 185.00 | USD | 9.4 | 420 |
| 2 | Mandarin Oriental Bangkok | 48 Oriental Avenue, Bangkok | 320.00 | USD | 9.6 | 310 |
| 3 | Bangkok Marriott Hotel | 2 Sukhumvit Road, Bangkok | 145.00 | USD | 8.9 | 580 |
| 4 | Hostel BKK | 12 Khao San Road, Bangkok | 25.00 | USD | 8.2 | 210 |
From request to a running hotel data feed
Request a sample
Tell us the date range or property types you care about – no commitment needed.
Review real data
We send a live export so you can check schema, coverage, and quality against your own use case.
Pick a plan
Choose coverage and refresh frequency based on what the sample showed you.
Choose your delivery
JSON, CSV, Excel, S3, or a direct warehouse connection – set once, delivered on schedule.
Data keeps flowing
Daily refresh on prices and availability, with monitoring in place if Booking.com changes anything upstream.
What makes this hotel dataset reliable
Built for Booking.com's anti‑bot measures
Booking.com uses aggressive anti‑scraping, dynamic rendering, and rate limiting. Our infrastructure is engineered specifically to handle these challenges at scale.
Daily refresh on prices and availability
Hotel prices and availability can change daily. We refresh daily by default, with more frequent options available on Growth and Enterprise plans.
Calendar availability data
We capture availability calendars up to 90 days in advance, so you can analyze occupancy trends and seasonal demand patterns for Bangkok.
One schema, every format
JSON, CSV, and Excel exports all share the same field names and types, so moving between tools or formats never means remapping your pipeline.
99.95% uptime SLA
The dataset runs on the same infrastructure as our enterprise API, backed by a contractual uptime commitment on Growth and Enterprise plans.
A team that answers
Questions about schema, coverage, or a field you don't see get answered by someone who understands the dataset, not a ticket queue.
Every field included, in plain terms
| Field | Description | Type |
|---|---|---|
| hotel_name | Name of the hotel property | Core |
| address | Full address | Core |
| price | Current nightly rate (in currency) | Pricing |
| currency | Currency code (USD, THB, etc.) | Core |
| rating | Average guest rating (1–10) | Core |
| review_count | Total number of guest reviews | Core |
| availability | Available / booked / limited | Core |
| check_in | Check‑in date | Core |
| check_out | Check‑out date | Core |
| room_type | Room type (Deluxe, Suite, etc.) | Optional |
| amenities | List of amenities (Wi‑Fi, pool, etc.) | Optional |
| location_lat | Latitude | Optional |
| location_lng | Longitude | Optional |
| neighborhood | Neighborhood or district (e.g., Sukhumvit, Old Town) | Core |
| property_type | Hotel, hostel, resort, villa, etc. | Core |
| cancellation_policy | Cancellation policy (free, non‑refundable, etc.) | Optional |
| breakfast_included | Breakfast included indicator | Optional |
| taxes_fees | Taxes and additional fees | Optional |
| last_updated | Timestamp of most recent refresh | Core |
Priced by coverage, not by seat
Every plan includes JSON, CSV, and Excel delivery, plus a free sample before you commit.
Sample
Validate schema and quality before buying.
- Real, current Booking.com data
- JSON, CSV, or Excel
- Delivered within 1 business day
Starter
A defined property list or date range, daily refresh.
- 1 city (Bangkok)
- Daily price & availability refresh
- JSON, CSV & Excel delivery
- Email support
Growth
All Bangkok properties with hourly updates.
- All Bangkok neighborhoods
- Hourly price & availability refresh
- Warehouse & S3 delivery
- Chat & email support, <4h
Enterprise
Full dataset, custom SLA.
- All properties in Bangkok
- 99.95% uptime SLA
- Dedicated account manager
- Custom schema fields on request
Get it however your team already works
Dataset vs. an in‑house Booking.com scraper
| Capability | ScraperScoop Dataset | In‑house scraper |
|---|---|---|
| Time to first data | Same day (sample) | Weeks to months |
| Anti‑bot handling | ||
| Calendar availability data | ||
| Maintenance when Booking.com changes | Handled for you | Your team's responsibility |
| Excel‑ready export |
Teams using Bangkok hotel data to power their business
"We built a hotel price prediction model for Bangkok using this dataset. The daily refresh gives us the accuracy we need to recommend optimal booking times."
"We were scraping Booking.com for Bangkok properties ourselves and it broke constantly. ScraperScoop gave us reliable data in days, not months."
"The Excel export is a game-changer for our market research team. They can filter by neighborhood and see pricing trends instantly without writing any code."
Questions about the Booking.com — Bangkok Dataset
See real Bangkok hotel data before you decide anything
Request a free sample and validate the dataset against your specific use case – hotel price monitoring, occupancy analysis, or market research.
No commitment required to see real data first.
