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GeoIp2\Model\City Object
(
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    [continent:protected] => GeoIp2\Record\Continent Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
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                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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    [country:protected] => GeoIp2\Record\Country Object
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
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                            [de] => USA
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                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [locales:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [0] => queriesRemaining
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        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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                    [2] => isInEuropeanUnion
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    [traits:protected] => GeoIp2\Record\Traits Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [ip_address] => 216.73.216.27
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
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                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
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                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
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                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [17] => network
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                    [19] => staticIpScore
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        )

    [city:protected] => GeoIp2\Record\City Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
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                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
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            [validAttributes:protected] => Array
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                    [1] => accuracyRadius
                    [2] => latitude
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                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
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        )

    [postal:protected] => GeoIp2\Record\Postal Object
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            [validAttributes:protected] => Array
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    [subdivisions:protected] => Array
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            [0] => GeoIp2\Record\Subdivision Object
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                    [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
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                    [validAttributes:protected] => Array
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)
 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Introduction

In the highly competitive US aviation market, airlines are under constant pressure to optimise pricing, service quality, and operational efficiency. Digital booking channels dominate, with US OTAs like Expedia, Priceline, Orbitz, Travelocity, and Kayak controlling a major share of online flight bookings. Leveraging Airline Data Scraping from OTAs allows airlines to monitor competitor fares, seat availability, and customer reviews, providing actionable insights for strategic planning. From 2020–2025, OTA bookings in the US grew from 55% to an estimated 68% of all flight reservations. Using this data effectively allows airlines to optimise route networks, pricing strategies, and ancillary offerings, gaining a competitive advantage in a highly dynamic marketplace.

US Market Dynamics & Competitive Landscape (2020‑2025)

Real-Time Electronics Price Tracking for Black Friday – 2025 Insights

From 2020 to 2025, the US airline industry saw strong recovery post-pandemic, with passenger journeys rising from 1.2 billion to 1.6 billion (+33%). Fare volatility and dynamic pricing also increased, with only 27% of fares dynamically priced in 2025 compared to 22% in 2020. Airlines that rely solely on internal booking data miss competitor insights available on US OTAs. Using a Real-Time Flight Data Scraping API, airlines can capture fare changes, seat availability, and competitor promotions in near real-time.

Table 1: US Airline Market Indicators (2020 2025)
Metric 2020 2021 2022 2023 2024 2025 Change
Passenger Journeys (billions) 1.2 1.3 1.4 1.45 1.55 1.6 +33%
Dynamic Fare Offers (%) 22% 23% 24% 25% 26% 27% +5pp
OTA Share of Bookings (%) 55% 57% 60% 62% 66% 68% +13pp
Avg Domestic Fare (USD) 320 310 315 318 325 330 +3%

Through Web Scraping Airline Data from OTAs, airlines can detect market trends and adjust pricing and capacity proactively.

Service Quality & Customer Sentiment Insights

Passenger reviews on Expedia, Orbitz, and Priceline provide key insights into service quality. Between 2021–2025, US OTA review volumes increased by over 45%, reflecting rising digital engagement. By leveraging Real-Time Airline Price & Review Monitoring, airlines can proactively detect service complaints, reducing reputational risk and improving passenger satisfaction.

Table 2: US OTA Review Metrics (2020 2025)
Metric 2020 2021 2022 2023 2024 2025 Change
Avg Reviews per Flight 12 15 18 20 22 24 +100%
Avg Review Rating (1‑5 stars) 4.1 4.0 4.0 4.1 4.2 4.2 +0.1
Negative Feedback (% of reviews) 12% 11% 10% 9% 8% 7% -5pp
Complaints Flagged via OTAs 1500 1600 1700 1750 1800 1850 +23%

Monitoring sentiment across US OTAs allows airlines to improve boarding efficiency, baggage handling, and in-flight service proactively.

Route & Network Optimization

Scraping fare and availability data from US OTAs helps airlines identify under- and over-performing routes. Airline Data Extraction for Service Optimization provides actionable insights for fleet and route planning.

Table 3: Sample Route Performance Insights (US OTA Data, 2020 2025)
Route Avg OTA Fare 2020 Avg OTA Fare 2025 Booking Trend Recommended Action
NYC → LAX $320 $330 Decreasing Adjust frequency
SFO → ORD $280 $295 Increasing Increase aircraft size
MIA → SEA $350 $355 Stable Maintain schedule
ATL → BOS $310 $325 Increasing Add premium flights
DFW → DEN $270 $285 Decreasing Reduce flight frequency

Data from OTAs allows airlines to optimise capacity allocation and improve load factors.

Pricing Strategy & Revenue Management

Dynamic pricing in the US is heavily influenced by competitor fares on OTAs. Using Travel Data Scraping, airlines can monitor competitor pricing and adjust their own strategies.

Table 4: US OTA Fare Comparison (2020 2025)
Route Expedia Avg Fare Priceline Avg Fare Orbitz Avg Fare Airline Adjusted Fare
NYC → LAX $320 $325 $318 $322
SFO → ORD $280 $285 $278 $283
MIA → SEA $350 $345 $352 $348
ATL → BOS $310 $308 $312 $310
DFW → DEN $270 $268 $272 $269

Airlines using OTA insights report 2–3% revenue uplift and higher RASM due to informed pricing adjustments.

Ancillary Revenue & Competitive Benchmarking

Ancillary services now contribute ~35% of US airline revenue. Airline Data Mining on US OTAs provides benchmarks for baggage fees, seat selection, and premium services.

Table 5: US OTA Ancillary Services Insights (2020 2025)
OTA Platform Top Ancillary Services Avg Ancillary Spend Trend
Expedia Seat selection, extra baggage $45 Increasing
Priceline Priority boarding, lounge $38 Stable
Orbitz Meals, upgrades $40 Increasing
Travelocity Baggage, seat selection $42 Increasing
Kayak Upgrades, Wi-Fi $37 Stable

Insights from OTAs allow airlines to optimise bundles and increase yield.

Risk Management & Operational Readiness

Operational disruptions affect passenger satisfaction and revenue. Monitoring OTA data provides early warning of changes in seat availability or fare spikes. Using Airline Data Scraping from OTAs, airlines can anticipate demand surges and operational challenges.

Table 6: Disruption Indicators via OTA Data (2020 2025)
Year Avg Seat Availability Drop (%) Fare Spike Events Flight Disruption Alerts OTA Observations
2020 5% 3 15 COVID-19 Impact
2021 4% 4 20 Recovery Phase
2022 3% 5 18 Weather Events
2023 2% 6 22 Demand Surges
2024 2% 5 20 Peak Holidays
2025 1% 4 18 Stable Ops

Continuous OTA monitoring enables proactive passenger communication and contingency planning.

Actowiz Solutions provides end-to-end Airline Data Scraping from OTAs solutions tailored to the US market. We deploy high-frequency crawlers and AI-powered parsers to extract structured data from Expedia, Priceline, Orbitz, Travelocity, and Kayak. Using our Real-Time Flight Data Scraping, airlines gain access to fare, availability, and review data for advanced analytics. We also provide Airline Data Extraction for Service Optimization and Real-Time Airline Price Monitoring, transforming raw OTA data into actionable insights. Our scalable, compliant solutions support Travel Data Scraping, empowering carriers to optimise pricing, route planning, ancillary revenue, and operational readiness. Dashboards offer real-time visibility, enabling teams to react quickly to market changes and maintain competitive advantage in the US market.

Conclusion

For US airlines, leveraging OTA intelligence is critical for maintaining competitiveness. Airline Data Scraping from OTAs provides real-time access to pricing, seat availability, and review data across Expedia, Priceline, Orbitz, and other platforms. By implementing a Web Crawling service, airlines can enhance Web Data Mining, gain strategic insights, and make data-driven operational decisions. Actowiz Solutions helps carriers convert OTA data into actionable intelligence, optimising revenue, service quality, and operational efficiency. Contact Actowiz Solutions today to unlock the power of OTA insights and future-proof your airline operations.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
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2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

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Case Studies
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Nov 14, 2025

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Competitive Analysis Using Scraping McDonald’s Location and Review Data for QSR Insights

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Enhancing Airline Operations via Airline Data Scraping from OTAs – Real-Time Insights from Expedia, Priceline, Orbitz, Travelocity, and Kayak

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Nov 14, 2025

How to Extract Real-Time Flight & Hotel Price Data from Expedia & Booking.com for Travel Market Insights?

Learn how to extract real-time flight and hotel price data from Expedia and Booking.com to gain travel market insights, optimize pricing strategies, and track trends effectively.

Nov 13, 2025

How Retailers Use Supermarket Data Scraping to Track 15% Average Price Fluctuations Across Categories

Discover how Supermarket Data Scraping helps retailers track 15% average price fluctuations across categories, optimize pricing strategies, and gain a competitive edge in real-time.

Nov 13, 2025

Real-Time Grocery Price Comparison - BigBasket, Zepto & Blinkit Show 12% Variation in Daily Essentials Pricing

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Competitive Analysis Using Scraping McDonald’s Location and Review Data for QSR Insights

Analyzing McDonald’s locations and reviews via web scraping to uncover competitive insights and trends in the quick-service restaurant (QSR) industry.

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Scrape Medicine Prices & Product Availability - Monitoring 1mg & NetMeds Apps Across Cities for Real-Time Market Insights

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Automating Financial Intelligence - Scraping Robinhood & Zerodha Apps to Monitor Stock Prices and Trading Behavior

Discover how Scraping Robinhood & Zerodha Apps automates financial intelligence to track stock prices, analyze investment patterns, and monitor market movement.

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Enhancing Airline Operations via Airline Data Scraping from OTAs – Real-Time Insights from Expedia, Priceline, Orbitz, Travelocity, and Kayak

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Grocery Intelligence — U.S. Online Grocery Product Mapping Report 2025

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Analyzing Quick Commerce Price Dynamics in India - Zepto vs Blinkit vs Swiggy Instamart

Analyzing Quick Commerce Price Dynamics in India: Compare Zepto, Blinkit, and Swiggy Instamart to track pricing trends and insights.

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