Vietnam Indonesia Hotel Data Scraping 2026

10 June, 2026
Vietnam Indonesia Hotel Data Scraping 2026

Hotel Data Scraping as a Southeast Asia Market Entry Tool

Southeast Asia's two most dynamic hotel markets — Vietnam and Indonesia — are moving too fast for annual intelligence reports to capture accurately. Hotel chain openings, pipeline announcements, and brand conversions are happening weekly. Travel Data Scrape's Southeast Asia hotel data scraping platform extracts live property data from Booking.com, Agoda, Expedia, Hotels.com, and local OTAs including Traveloka (Indonesia) and Mytour (Vietnam) on a daily basis — delivering the most current hotel chain location intelligence available for these high-growth markets.

This report presents the findings from Travel Data Scrape's June 2026 Vietnam and Indonesia hotel data extraction run — covering all properties from Marriott International, Hilton Worldwide, and Accor SE across both nations at the city and destination level.

Scraped Data Sample: Vietnam Hotel Chain Distribution 2026

Destination Marriott Hilton Accor Total Branded Gap Score Traveloka Listings
Ho Chi Minh City 14 9 18 41 Low 2,847
Hanoi 11 7 15 33 Low 2,341
Da Nang 8 5 11 24 Medium 1,156
Phu Quoc 6 4 8 18 Medium 892
Hoi An 4 2 6 12 Med-High 643
Nha Trang 5 3 7 15 Medium 754
Ha Long Bay 3 2 4 9 High 421
Hue 2 1 3 6 High 287
Da Lat 1 0 2 3 Very High 198
Quy Nhon 0 0 1 1 Extreme 89

Source: Travel Data Scrape Hotel Data Scraping | Extracted from: Booking.com, Agoda, Expedia, Traveloka, Mytour, Google Maps | June 2026

Traveloka Data Scraping: The Intelligence Layer Most Competitors Miss

Traveloka — Indonesia's dominant OTA with over 40 million monthly active users — contains hotel listings and pricing data that never appear on Booking.com or Expedia. Travel Data Scrape's hotel data extraction platform is one of the few services that scrapes Traveloka alongside international OTAs, providing a complete picture of Southeast Asian hotel supply that English-language-only hotel data scrapers cannot replicate.

For the Vietnam analysis in this report, Traveloka data scraping revealed 847 additional budget and independent properties in secondary Vietnamese cities that do not appear on international OTAs — giving our clients a true total supply count rather than the partial view that branded hotel data extraction alone provides. This complete supply picture is essential for accurate gap scoring: a market might appear underserved by international chain data scraping but actually be well-served when local and independent supply is included.

Scraped Data Sample: Indonesia Hotel Chain Distribution 2026

Destination Marriott Hilton Accor Total Branded Gap Score Traveloka Listings
Bali (Seminyak/Kuta) 19 12 24 55 Saturated 8,941
Jakarta 22 16 28 66 Saturated 11,247
Ubud, Bali 6 3 9 18 Medium 1,843
Lombok 5 3 7 15 Med-High 743
Yogyakarta 4 2 6 12 High 1,124
Labuan Bajo 2 1 3 6 Very High 187
Raja Ampat 1 0 2 3 Very High 64
Belitung Island 0 0 1 1 Extreme 43
Manado 1 1 1 3 High 156
Lombok Mandalika 2 1 2 5 High 89

Source: Travel Data Scrape | Extracted from: Booking.com, Agoda, Traveloka, Google Maps, Expedia | June 2026

Hotel Data Scraping for Extreme Gap Market Identification

Belitung Island — with only 1 branded Accor property extracted by Travel Data Scrape's hotel location data scraper — represents the most extreme supply gap in Indonesia relative to its tourism demand growth trajectory. Our hotel data extraction platform cross-references property counts with Google Trends search volume data, Instagram location tag counts, and airline seat capacity from OAG flight schedules to produce composite demand signals. For Belitung, all three demand signals are strongly positive while supply remains minimal — exactly the market condition that generates the highest hotel investment returns.

About Travel Data Scrape

Travel Data Scrape provides Southeast Asia hotel data scraping with coverage of Traveloka, Agoda, Booking.com, and 12 regional OTAs across 25 Asian markets. Daily extraction, API delivery, and custom gap analysis reports available at www.traveldatascrape.com.