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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
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                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

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                        (
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                            [es] => Norteamérica
                            [fr] => Amérique du Nord
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

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                    [names] => Array
                        (
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                            [ru] => США
                            [zh-CN] => 美国
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            [location] => Array
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                    [longitude] => -83.0061
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                    [time_zone] => America/New_York
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            [postal] => Array
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                    [code] => 43215
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            [registered_country] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
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                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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                            [names] => Array
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                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
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                    [prefix_len] => 22
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        )

    [continent:protected] => GeoIp2\Record\Continent Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [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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            [validAttributes:protected] => Array
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    [country: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
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [0] => en
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            [validAttributes:protected] => Array
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                    [0] => confidence
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                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
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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
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [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
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [0] => en
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            [validAttributes:protected] => Array
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                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.26
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [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
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)
 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

The travel industry has undergone rapid transformation over the past five years, with booking patterns shifting between Online Travel Agencies (OTA) and direct bookings on airline and hotel platforms. To gain actionable insights, it is crucial to Scrape OTA vs Direct Booking Data from USA, UK & UAE to understand market dynamics, revenue generation, and customer preferences. Using Web Scraping for Airline & OTA, Actowiz Solutions analyzed both OTA platforms and direct travel portals to uncover revenue trends, booking behaviors, and growth opportunities. This research evaluates patterns across three key travel markets—the USA, UK, and UAE—capturing both seasonal and year-round booking fluctuations. The insights reveal how OTAs and direct channels differ in terms of pricing, promotional effectiveness, customer acquisition, and retention strategies. By leveraging Web Scraping OTA vs Direct Booking Trends in USA, UK & UAE, travel operators, airlines, and hospitality providers can make informed decisions to optimize sales channels and increase profitability.

OTA Listings vs Direct Bookings Revenue – 2020 to 2025

Analyzing booking data between 2020 and 2025 shows a clear divergence in revenue performance between OTAs and direct booking channels. Using Scrape OTA vs Direct Booking Data from USA, UK & UAE, Actowiz Solutions collected transaction-level data across leading platforms. In the USA, OTA revenue rose from $18.2B in 2020 to $34.5B in 2025, while direct booking revenue increased from $12.5B to $31.2B. In the UK, OTA revenue grew from £7.4B to £14.1B, compared to direct bookings increasing from £5.6B to £13.3B. The UAE market, though smaller, showed similar trends: OTA revenue grew from $1.8B to $3.6B, while direct bookings rose from $1.2B to $3.0B.

Table 1: OTA vs Direct Booking Revenue (2020–2025)
Year USA OTA ($B) USA Direct ($B) UK OTA (£B) UK Direct (£B) UAE OTA ($B) UAE Direct ($B)
2020 18.2 12.5 7.4 5.6 1.8 1.2
2021 20.5 15.2 8.1 6.2 2.0 1.5
2022 24.0 19.0 9.2 7.8 2.5 1.8
2023 28.2 23.5 11.0 9.8 3.0 2.3
2024 32.0 27.8 12.5 11.5 3.4 2.7
2025 34.5 31.2 14.1 13.3 3.6 3.0

This section highlights the importance of Travel Booking Data Scraping: OTA vs Direct Insights to track the shift in consumer behavior and plan strategic interventions for revenue maximization.

Booking Volume Trends Across Channels – 2020 to 2025

Examining transaction counts provides further insight. In the USA, OTA bookings increased from 120M in 2020 to 210M in 2025, while direct bookings rose from 85M to 190M. The UK saw OTA volumes grow from 45M to 88M, with direct bookings from 32M to 82M. UAE volumes grew more modestly, with OTA transactions reaching 10M and direct bookings 8.5M in 2025.

OTA Data Scraping for Travel Growth allowed Actowiz to track bookings in real time, identify high-demand periods, and analyze consumer booking patterns. OTAs show higher activity during promotions and peak seasons, whereas direct bookings remain more stable year-round.

Table 2: OTA vs Direct Booking Volume (2020–2025)
Year USA OTA (M) USA Direct (M) UK OTA (M) UK Direct (M) UAE OTA (M) UAE Direct (M)
2020 120 85 45 32 6 5
2021 135 102 50 38 6.8 5.6
2022 160 135 60 48 7.5 6.4
2023 185 162 70 60 8.5 7.1
2024 200 180 80 72 9.3 7.8
2025 210 190 88 82 10 8.5

This analysis demonstrates how Web Scraping OTA and Direct Booking Data Globally provides critical intelligence for predicting demand surges and optimizing resource allocation.

Pricing Strategy Insights Across Channels

Pricing plays a critical role in channel selection. OTAs frequently offer dynamic pricing, seasonal discounts, and bundle deals, while direct channels rely on loyalty programs and consistent pricing. Pricing strategy analysis shows that in the USA, OTA average ticket prices declined slightly from $152 in 2020 to $148 in 2025 due to competitive discounting, while direct bookings maintained an average of $165. UK OTAs moved from £98 to £94, direct from £110 to £108. UAE OTAs averaged $225 in 2025, direct $238.

Table 3: Average Pricing (2020–2025)
Year USA OTA ($) USA Direct ($) UK OTA (£) UK Direct (£) UAE OTA ($) UAE Direct ($)
2020 152 160 98 110 220 235
2021 150 162 97 111 222 236
2022 149 163 95 112 225 237
2023 148 164 94 113 226 238
2024 148 165 94 114 228 238
2025 148 165 94 108 225 238

Understanding OTA vs Direct Booking Analytics in USA, UK, and UAE allows operators to optimize pricing, maximize revenue, and align promotions with consumer behavior trends.

Promotional Strategies and Discounts

Discounts and promotions significantly influence booking behavior. OTAs leverage seasonal campaigns, flash sales, and last-minute discounts to attract price-sensitive travelers, while direct channels emphasize loyalty points, referral bonuses, and early-bird offers. Using Web scraping solution, Actowiz tracked promotional effectiveness across platforms.

Table 4: Average Discounts (2020–2025)
Year USA OTA (%) USA Direct (%) UK OTA (%) UK Direct (%) UAE OTA (%) UAE Direct (%)
2020 8.5 4.5 7.8 5.0 6.0 3.5
2021 8.8 4.8 8.0 5.2 6.2 3.8
2022 9.0 5.0 8.2 5.5 6.5 4.0
2023 9.2 5.2 8.5 5.7 6.7 4.2
2024 9.1 5.3 8.7 5.8 6.8 4.3
2025 9.10 5.5 8.8 5.9 6.9 4.5

Scrape OTA vs Direct Booking Data from Travel Portals allows airlines and hotels to identify which discounts drive volume and optimize promotional calendars across multiple regions.

Customer Behavior and Repeat Bookings

Using Travel Data Scraping, Actowiz analyzed repeat booking patterns. Direct channels show higher loyalty rates, while OTAs capture more first-time users. In the USA, 65% of direct bookings come from repeat travelers compared to 48% on OTAs. The UK shows 60% repeat direct vs 42% OTA, and UAE 55% vs 40%. Tracking this trend helps operators develop loyalty programs and cross-sell strategies.

Table 5: Repeat Booking Rates (2020–2025)
Year USA OTA (%) USA Direct (%) UK OTA (%) UK Direct (%) UAE OTA (%) UAE Direct (%)
2020 45 60 40 55 38 52
2021 46 61 42 56 39 53
2022 47 62 43 57 40 54
2023 48 63 44 58 41 55
2024 48 64 45 59 42 55
2025 48 65 42 60 40 55

Market Share Trends by Channel

From 2020 to 2025, OTAs maintained higher transaction volumes but direct channels steadily captured a larger revenue share. Extract OTA and Direct Booking Trends from USA, UK & UAE shows direct bookings gaining from 41% to 48% of total bookings in the USA, UK from 44% to 48%, and UAE from 40% to 45%.

Table 6: Market Share by Channel (2020–2025)
Year USA OTA (%) USA Direct (%) UK OTA (%) UK Direct (%) UAE OTA (%) UAE Direct (%)
2020 59 41 56 44 60 40
2021 57 43 55 45 58 42
2022 55 45 54 46 57 43
2023 53 47 52 48 55 45
2024 52 48 51 49 53 47
2025 52 48 52 48 55 45

OTA vs Direct Booking Analytics in USA, UK, and UAE shows that direct channels are increasingly competitive, emphasizing the need for data-driven decisions in channel management.

Actowiz Solutions enables travel operators to Scrape OTA vs Direct Booking Data from USA, UK & UAE to track revenue, optimize pricing strategies, and understand consumer behavior across channels. Our expertise in Web Scraping OTA and Direct Booking Data Globally ensures real-time insights for better decision-making. Using advanced analytics, predictive modeling, and travel-specific intelligence, businesses can enhance booking conversions, manage promotional campaigns, and forecast demand with high accuracy. By leveraging these insights, travel brands can stay ahead of competitors, improve customer retention, and optimize their multi-channel strategy for maximum growth in the USA, UK, and UAE markets.

Conclusion

The analysis of OTA and direct booking trends across the USA, UK, and UAE clearly shows the evolving travel landscape. OTAs dominate in volume, while direct channels steadily capture revenue share and loyalty. Using Scrape OTA vs Direct Booking Data from USA, UK & UAE, Actowiz Solutions provides a comprehensive view of revenue trends, pricing strategies, discount effectiveness, repeat booking patterns, and market share evolution from 2020 to 2025. The insights help travel operators, airlines, and hospitality providers optimize pricing, forecast demand, and develop targeted promotional campaigns.

With real-time data scraping, predictive analytics, and actionable dashboards, businesses can make informed decisions to enhance revenue and improve customer retention. Actowiz Solutions empowers travel brands to transform raw OTA and direct booking data into strategic insights—maximize growth, optimize booking channels, and stay ahead in competitive markets across USA, UK, and UAE.

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.
Product Image
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.”
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Iulen Ibanez
CEO / Datacy.es
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1 min
★★★★★
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Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
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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

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Scrape OTA vs Direct Booking Data from USA, UK & UAE to Compare Travel Revenue & Booking Patterns

Analyze OTA vs Direct Booking trends across USA, UK & UAE. Scrape OTA vs Direct Booking Data to uncover revenue patterns, market share, and insights.

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Extract Festive Sale Data from Amazon, Flipkart & Reliance — 90% flash-sale alerts; 50+ brands analyzed

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