FIFA World Cup 2026 Hotel Data Scraping Intelligence
                     FIFA World Cup 2026 Hotel 
Data Scraping Intelligence
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Executive Summary
The FIFA World Cup 2026 is the largest sporting event 
in human history — 104 matches, 48 nations, 16 host 
cities spread across three countries (USA, Canada, 
and Mexico), running from June 11 to July 19, 2026. 
With 13.1 million visitors projected and 21.3 million 
hotel room nights expected to be consumed during 
the tournament window, this event has created the 
most complex and high-stakes hotel data intelligence 
challenge the hospitality industry has ever faced.
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Travel Data Scrape's FIFA World Cup 2026 
Hotel Data Scraping Intelligence Report presents 
live-extracted pricing, availability, ADR trend, and 
competitive intelligence for all 16 host cities. Every 
data point in this report was extracted through Travel 
Data Scrape's automated hotel data scraping platform 
— pulling real-time information from Booking.com, 
Expedia, Hotels.com, Airbnb, VRBO, Google Hotels, 
and individual hotel brand websites — not modeled, 
not estimated, not purchased from a static industry 
report.
This report is designed for OTA platforms optimizing 
World Cup inventory strategy, hotel revenue 
managers adjusting dynamic pricing during the \
tournament window, hospitality investors monitoring 
ADR compression signals, and travel technology 
companies building FIFA 2026 travel products. The 
intelligence inside is extracted, current, and 
actionable.
Why FIFA World Cup 2026 Demands Real-Time 
Hotel Data Scraping
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Major sporting events create hotel pricing and 
availability conditions that change faster than any 
traditional market intelligence tool can track. During 
the 2026 World Cup, hotel room rates in host cities 
are fluctuating by 20-80% within 24-hour windows 
based on match schedule announcements, ticket 
allocation results, and fan travel booking patterns. 
Only automated hotel data scraping — running 
extraction cycles every 4-6 hours across all major 
OTAs simultaneously — can deliver the real-time 
intelligence that revenue managers, OTA yield 
teams, and hospitality investors need to make 
optimal decisions.
Travel Data Scrape deployed a dedicated FIFA World 
Cup 2026 hotel data scraping operation covering all 
16 host cities from January 2026, tracking the full 
arc of booking pattern development from early 
demand signals through to live match-day 
availability and pricing. This report presents key 
findings from that ongoing extraction operation — 
the most comprehensive hotel data scraping 
intelligence program ever executed for a single 
sporting event.
FIFA World Cup 2026: Host Cities and Match 
Allocation
Understanding the match allocation across 16 host 
cities is essential context for interpreting hotel data 
swcwrawp.tinragv efilnscdrianpges .c—o cities hossatliensg@ mtraovree lsmcraatpche.ecs, 
and specifically knockout-stage matches, generate 
smignificantly higher and more ovmolatile hotel pricing 
signals than group-stage-only venues.
Hotel 
Countr Matches 
Host City Stadium Stage Supply 
y Hosted
(Scraped)
New York / MetLife 8 (incl. Groups + 89,400 
USA
New Jersey Stadium Final) KO + Final rooms
SoFi 8 (incl. Groups + 74,200 
Los Angeles USA
Stadium Semi-Final) KO + Semi rooms
Dallas / Fort AT&T 9 (most in Groups + 61,800 
USA
Worth Stadium USA) KO rooms
Miami / Fort Hard Rock Groups + 58,900 
USA 7
Lauderdale Stadium KO rooms
NRG Groups + 52,400 
Houston USA 7
Stadium KO rooms
Gillette Groups + 38,700 
Boston USA 6
Stadium KO rooms
San 
Levi's Groups + 47,300 
Francisco / USA 6
Stadium KO rooms \
Bay Area
34,200 
Seattle USA Lumen Field 6 Groups
rooms
Mercedes-
42,800 
Atlanta USA Benz 6 Groups
rooms
Stadium
Lincoln 
Groups + 36,100 
Philadelphia USA Financial 6
KO rooms
Field
Arrowhead 36,000 
Kansas City USA 6 Groups
Stadium rooms
7 (incl. Groups + 41,200 
Toronto Canada BMO Field
Semi-Final) KO + Semi rooms
Groups + 28,400 
Vancouver Canada BC Place 7
KO rooms
Stade 24,800 
Montreal Canada 6 Groups
Saputo rooms
7 (incl. Groups + 
Estadio 68,400 
Mexico City Mexico Opening KO + 
Azteca rooms
Match) Opening
Estadio 21,600 
Guadalajara Mexico 5 Groups
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Source: Travel Data Scrape Hotel Data Scraping 
Platform | Hotel supply counts extracted from 
Booking.com, Expedia, Hotels.com, Google Hotels | 
FIFA match allocation: Official FIFA 2026 draw | June 
2026
Scraped ADR Intelligence: Hotel Pricing Surge 
Across 16 Host Cities
Travel Data Scrape's hotel data scraping platform 
extracted average daily rate (ADR) data for match-
day windows and non-match-day windows across all 
16 host cities — revealing the pricing dynamics that \
are reshaping hotel revenue strategies for the World 
Cup period. The following table presents scraped ADR 
data for peak match-day windows versus the same 
dates in 2025.
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2025 WC Match- Booking Availabi
ADR 
Host City Baseline Day ADR Volume lity 
Surge %
ADR (Scraped) YoY Status
New York / Very 
$214 $521 +143% +102.1%
NJ (Final) Tight
Los Angeles 
$198 $412 +108% +80.5% Tight
(Semi-Final)
Dallas / Fort Moderat
$167 $311 +86% +113.65%
Worth e
Miami / Fort +15% Moderat
$189 $328 +73%
Lauderdale flights e
+12.9% 
Houston $154 $264 +71% Available
flights
+17% Moderat
Boston $212 $354 +67%
flights e
Toronto High KO 
$178 $298 +67% Tight
(Semi-Final) demand \
Shortage Very 
Vancouver $165 $274 +66%
flagged Tight
San 
+8.2% Moderat
Francisco / $201 $329 +64%
flights e
Bay Area
Strong KO Moderat
Philadelphia $183 $294 +61%
signal e
Steady 
Atlanta $158 $248 +57% Available
growth
85-90% 
Kansas City $141 $218 +55% Tight
occ.
Mexico City 
$124 $189 +52% -17.5% YoY Available
(Opening)
Efficient 
Montreal $159 $238 +50% Available
gains
Seattle $172 $253 +47% -20.1% YoY Available
Guadalajara $98 $142 +45% -21.3% YoY Available
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Source: Travel Data Scrape Hotel Data Scraping | ADR 
extracted from Booking.com, Expedia, Hotels.com | 
Match-day window: 2 days before + match day + 1 
day after | Baseline: Same dates 2025 | June 2026
ADR Analysis: The Match-Day Scraping Story 
City by City
New York and New Jersey's MetLife Stadium — host to 
the World Cup Final on July 19 — produces the most 
extreme ADR surge in our hotel data scraping 
dataset. A 143% increase over 2025 baseline rates, 
with booking volumes up 102.1% year-on-year, 
reflects the once-in-a-lifetime demand concentration \
that a World Cup Final generates. Travel Data 
Scrape's hotel data extraction shows that as of June 
2026, the most sought-after properties within a 10-
mile radius of MetLife Stadium are commanding rates 
of $800-$2,400 per night for the Final weekend — 
figures extracted directly from Booking.com and 
Expedia listings.
Dallas/Fort Worth is the standout performer in our 
FIFA World Cup hotel data scraping analysis — 
hosting more matches than any other U.S. city (9 
games at AT&T Stadium), Dallas has achieved a 
booking volume increase of 113.65% year-on-year, 
the highest of any host city in our extraction dataset. 
Travel Data Scrape's scraping of Expedia and 
Hotels.com for the Dallas market shows that the 
England vs. Croatia match on June 17 has been the 
swinwgwle.t braigvgeelssctr ainpdei.vciodual demansda ldersi@vetrr a—ve glsecnrearpaet.icng 
hmotel search volumes that dwoamrfed even the Dallas 
market's typical Super Bowl week pattern.
Vancouver presents a cautionary tale for 
accommodation providers and travelers alike. Travel 
Data Scrape's hotel supply data extraction confirms 
that Vancouver has only 28,400 hotel rooms in total 
— the smallest supply of any host city — against 
demand that Destination Vancouver's official study 
projects will exceed that supply during multiple 
World Cup match windows. Our 
Airbnb data scraping for Vancouver shows short-
term rental availability has tightened dramatically, 
with Airbnb listings within 5 miles of BC Place 
showing 94% occupancy rates for match-day 
windows — extracted via Travel Data Scrape's \
Airbnb data scraping pipeline.
Airbnb vs Hotel Data Scraping: The Short-Term 
Rental Intelligence Layer
One of the most important and underanalyzed 
aspects of FIFA World Cup 2026 accommodation 
intelligence is the short-term rental (STR) market. 
With hotel blocks committed to FIFA allocations 
limiting available inventory on traditional OTAs, 
Airbnb and VRBO have become critical 
accommodation options for many World Cup visitors 
— and the pricing, availability, and competitive 
dynamics of the STR market require dedicated 
Airbnb data scraping to monitor effectively.
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Airbnb Avg Airbnb Airbnb Superhos
Host vs Hotel 
Listings Rate Match Occupancy ts 
City ADR
(Scraped) Day % Available
New York -27% vs 
48,200 $380 91% 4,820
/ NJ hotel
Los -28% vs 
42,100 $295 88% 3,890
Angeles hotel
-36% vs 
Dallas 18,400 $198 86% 1,740
hotel
-27% vs 
Miami 31,200 $241 84% 2,980
hotel
-33% vs 
Houston $19,800 $176 79% 1,820
hotel \
-30% vs 
Boston 12,400 $248 87% 1,120
hotel
Vancouve -12% vs 
8,900 $241 94% 780
r hotel
-27% vs 
Toronto 21,400 $218 89% 1,980
hotel
Kansas -25% vs 
6,200 $164 82% 540
City hotel
Mexico -41% vs 
28,400 $112 72% 2,640
City hotel
Source: Travel Data Scrape Airbnb Data Scraping | 
Extracted from Airbnb.com | Match-day window 
extraction | June 2026
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Travel Data Scrape's Airbnb data scraping reveals 
that short-term rentals are consistently priced 25-
41% below hotel ADR during World Cup match-day 
windows — creating a significant price advantage for 
budget-conscious fans. Vancouver is the notable 
exception: with the city's limited hotel supply 
already exhausted, Airbnb rates in Vancouver are 
only 12% below hotel ADR, reflecting the exceptional 
demand pressure that both accommodation 
categories face in the smallest-supply host city.
Hotel Availability Gap Analysis: Cities Where 
Fans Cannot Find Rooms \
Travel Data Scrape's hotel availability scraping — 
extracting real-time room availability across all 
major OTAs simultaneously — identifies five World 
Cup host cities where accommodation availability 
has reached critical levels for specific match 
windows. This intelligence is critical for OTA 
platforms managing customer expectations, fans 
planning travel, and hospitality investors assessing 
the pricing power ceiling in constrained markets.
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Vancouver's accommodation crisis is the most 
severe in our data scraping analysis. BC Place hosts 
7 World Cup matches including a semi-final, yet the 
city's 28,400 hotel rooms — many of them under 
FIFA block contract — create a structural supply 
deficit for individual booking travelers. Travel Data 
Scrape's availability scraping shows that for 4 of 
Vancouver's 7 match windows, fewer than 8% of 
total hotel inventory is available for open-market 
booking within a 10-mile radius of the stadium. 
Kansas City presents a similar constraint: with 
approximately 36,000 hotel rooms and roughly 85-
90% already committed or occupied during match 
windows, the city has effectively exhausted its \
branded hotel capacity. Travel Data Scrape's Kansas 
City hotel data scraping shows that properties 
beyond a 25-mile radius of Arrowhead Stadium are 
now the primary source of available inventory for 
fans seeking match-day accommodation.
New York's situation is paradoxically complex: 
despite having the largest hotel supply of any host 
city (89,400 rooms), the concentration of demand 
for the World Cup Final weekend is so extreme that 
even this vast supply is constrained. Travel Data 
Scrape's hotel availability extraction shows that for 
the Final weekend (July 17-20), available inventory 
within 20 miles of MetLife Stadium has dropped 
below 12% — with the remaining available rooms 
priced at $650-$2,400 per night.
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Mexico and Canada: The Contrasting Hotel 
Dmata Scraping Stories om
The 2026 World Cup's tri-nation format creates three 
distinct hotel market dynamics. While U.S. host 
cities are generally experiencing positive booking 
growth, Mexico and Canada present contrasting 
patterns that Travel Data Scrape's hotel data 
scraping has captured in granular detail.
Mexico City — hosting 7 matches including the 
Opening Ceremony match — is underperforming 
initial expectations. Travel Data Scrape's 
Booking.com and Expedia data extraction for Mexico 
City shows year-on-year hotel demand tracking at 
-17.5% for the May-June window. This \
underperformance is attributed to visa challenges 
for international visitors, geopolitical travel 
hesitancy among North American fans, and the high 
cost of international flights to Mexico City relative to 
U.S. host cities. Despite this, hotel ADR in Mexico 
City has still surged 52% above 2025 baseline 
during the Opening Match window — indicating that 
demand, while below forecast, remains significantly 
elevated above normal.
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Guadalajara is the most challenging market in 
Mexico's World Cup portfolio, with hotel demand 
tracking -21.3% year-on-year in our extraction data. 
The city's 5 group-stage matches and limited 
knockout-stage presence reduce the demand 
intensity that elevates ADR in semi-final and final 
host cities. Travel Data Scrape's hotel data scraping 
shows that Guadalajara properties within 5 miles of 
Estadio Akron are discounting 15-22% below their 
initial World Cup pricing — a clear sign of demand 
disappointment relative to initial FIFA projections.
Canada's performance is markedly stronger than 
Mexico's. Toronto and Vancouver are both delivering \
efficient, high-occupancy gains per the FIFA World 
Cup 2026 economic intelligence extracted by Travel 
Data Scrape's platform. Toronto benefits from both 
its semi-final match allocation and its status as 
Canada's largest city with the strongest international 
air connectivity. Vancouver's supply constraint, while 
a challenge for fans, is generating exceptional ADR 
performance for participating hotels — properties in 
Vancouver are among the top performers by RevPAR 
growth of all 16 host cities in our dataset.
How Travel Data Scrape Extracts FIFA World 
Cup Hotel Intelligence
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Travel Data Scrape's FIFA World Cup 2026 hotel data 
scraping operation is the most comprehensive 
single-event hotel intelligence program ever 
executed. Our platform simultaneously extracts data 
from Booking.com, Expedia, Hotels.com, Agoda, 
Google Hotels, HotelsCombined, Trivago, Airbnb, and 
VRBO — covering both traditional hotel inventory 
and the short-term rental market that has become 
critical for World Cup accommodation planning.
For each of the 16 host cities, our hotel data 
scraping infrastructure runs extraction cycles every 
6 hours during match-day windows and every 24 \
hours during non-match periods — capturing the 
intra-day pricing volatility that match 
announcements and ticket release events create. 
Each extraction cycle processes: room availability by 
property, ADR by room type and cancellation policy, 
review score and review volume changes, new 
property listings and delistings, and competitive 
pricing positioning relative to the property's own 30-
day average rate.
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The result is a time-series hotel intelligence dataset 
for the World Cup that allows our clients to answer 
questions no static report can address: What 
happened to Dallas hotel rates within 4 hours of the 
England-Croatia match announcement? How did 
Vancouver Airbnb prices respond to the semi-final 
draw? Which Kansas City properties maintained 
rates above their initial World Cup pricing and which 
capitulated to discount pressure as the event 
approached? Travel Data Scrape's hotel data 
scraping platform answers all of these questions 
with extracted evidence rather than industry 
speculation.
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FIFA World CSucrpap iHngo Utse l Data Scraping: Use Cases 
Client Type Key Data Extracted Business Value
by Client Type Case
Real-time 
Room counts, ADR, Yield optimization, 
OTA Platforms availability 
monitoring cancellation policy meta-search ranking
Hotel Revenue Competitive set Competitor ADR, Dynamic pricing 
Managers pricing extraction occupancy signals calibration
Hospitality ADR surge tracking RevPAR signals, Investment timing 
Investors all 16 cities demand vs supply decisions
Live availability + Booking.com + Airbnb 
Fan Travel Apps Product differentiation
price alerts combined
Sports Tourism Package pricing Flight + hotel bundle 
Margin optimization
Agencies intelligence rates
Short-Term Rental Airbnb market rate Airbnb ADR, Optimal pricing 
Hosts benchmarking occupancy by area strategy
Hotel Franchise Post-event supply Property counts Next-event market 
Teams gap analysis pre/post WC planning
Travel Tech Multi-city price All OTAs, all 16 cities, API integration 
Startups comparison data daily products
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Source: Travel Data Scrape FIFA World Cup 2026 
Hotel Data Scraping Use Case Framework | June 
2026
Key Findings from Travel Data Scrape's FIFA 
2026 Hotel Scraping Intelligence
1. FINAL WEEKEND IS THE EXTREME EVENT: MetLife 
Stadium's World Cup Final (July 19) is generating 
the highest ADR surge of any match window in 
any city — 143% above 2025 baseline ADR — 
with available inventory at less than 12% within 
20 miles of the venue. Travel Data Scrape's 
extraction confirms this is the tightest single \
accommodation market our platform has ever 
recorded for a sporting event.
2. DALLAS OUTPERFORMS ALL USA CITIES: Despite 
not hosting a Final or Semi-Final, Dallas has 
achieved the highest booking volume growth of any 
U.S. city (+113.65% YoY) driven by the England vs. 
Croatia match on June 17. Travel Data Scrape's hotel 
data scraping shows Dallas's strong international fan 
demographics — particularly UK and European 
visitors — are delivering premium ADR realization 
that exceeds cities with higher-prestige match 
allocations.
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3. VANCOUVER'S SUPPLY CRISIS IS REAL: Travel Data 
Scrape's hotel availability data extraction
 confirms that Vancouver is in genuine 
accommodation crisis for multiple match windows, 
with open-market availability dropping below 8% of 
total inventory. Airbnb scraping shows STR 
properties filling the gap but with rates only 12% 
below hotel ADR — effectively eliminating the 
budget option for fans.
4. MEXICO UNDERPERFORMS, CANADA 
OVERPERFORMS: Our hotel data scraping across all 
three host nations reveals a clear north-south \
gradient: Canadian cities (Toronto, Vancouver) are 
overdelivering on accommodation demand while 
Mexican cities (Mexico City, Guadalajara) are 
underperforming forecasts by 17-21%. U.S. cities fall 
in the middle, with significant variation by match 
schedule intensity.
5. AIRBNB IS THE WORLD CUP ACCOMMODATION 
STORY: Travel Data Scrape's Airbnb data scraping 
reveals that short-term rental platforms are 
absorbing a larger share of World Cup 
accommodation demand than any previous major 
sporting event, with 10 host cities showing Airbnb 
occupancy rates above 80% for match-day windows. 
This represents a fundamental shift in the 
accommodation intelligence landscape that hotel-
only data scraping misses entirely.
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Pmost-World Cup Hotel Daotam Scraping: What 
Comes Next
The FIFA World Cup 2026's impact on host city hotel 
markets extends well beyond the July 19 Final. Travel 
Data Scrape's post-event hotel data scraping 
program will track: the post-event ADR 
normalization curve in all 16 cities, new hotel 
development announcements triggered by World 
Cup demand evidence, Airbnb host retention rates 
(will World Cup STR hosts remain active after the 
event?), and the medium-term tourism legacy effect 
that major events generate in host cities.
For Kansas City and Vancouver — cities that 
experienced genuine supply constraints during the 
World Cup — our hotel data scraping will track \
whether the demonstrated demand evidence 
accelerates hotel development pipeline activity. 
History from other World Cup host cities suggests 
that proven accommodation demand during a mega-
event typically triggers 2-3 new hotel development 
announcements within 18 months — intelligence 
that Travel Data Scrape's pipeline scraping will 
capture at the earliest possible stage.
About Travel Data Scrape
Travel Data Scrape is a specialist hotel data scraping 
and travel intelligence company. Our FIFA World Cup 
2026 hotel data scraping operation monitors all 16 
host cities across the USA, Canada, and Mexico — 
extracting real-time pricing, availability, ADR trends, 
awnwdw A.tirrabvnebl sccoramppee.ctiotive data frsoamle s9@ mtraajvoer lspclaratfpoerm.cs 
with 6-hour extraction cycles during match windows.
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Clients include OTA platforms, hotel revenue 
management teams, hospitality investors, sports 
tourism agencies, and travel technology companies. 
Visit www.traveldatascrape.com to access the full 
FIFA World Cup 2026 hotel data scraping intelligence 
platform, request a custom city report, or integrate 
our data via API.
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Originally published at 
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