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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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            [traits] => Array
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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        )

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    [location:protected] => GeoIp2\Record\Location Object
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                    [latitude] => 39.9625
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            [validAttributes:protected] => Array
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    [postal:protected] => GeoIp2\Record\Postal Object
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                                    [pt-BR] => Ohio
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)
 country : United States
 city : Columbus
US
Array
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    [continent_code] => NA
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    [country_code] => US
)
Travel • UAE

UAE Travel Data Scraping & Intelligence Solutions

Actowiz Solutions delivers real-time travel data scraping services in the UAE to help hotels, airlines, OTAs, and investors make smarter decisions. From Dubai luxury hotels to Etihad and Emirates airfares, our crawlers capture structured, business-ready datasets across the UAE’s dynamic travel market.

Monitor room rates, airline fares, OTA deals, vacation rentals, and ride-hailing services with precision. Whether you need daily hotel benchmarking, airline price intelligence, or customer sentiment analysis, we provide clean datasets delivered in CSV, JSON, Excel, or APIs.

Stay ahead in the UAE travel industry with structured data that drives results.

UAE • Nationwide

Top Countries:

USA UK Germany Japan India France Canada Australia UK Germany Japan India France Canada Australia UK Germany Japan India France Canada Australia
UK Germany Japan India France Canada Australia UK Germany Japan India France Canada Australia UK Germany Japan India France Canada Australia

Create your own

B2B-B2C-Marketplace-amazon
B2B-B2C-Marketplace-IndiaMART
B2C-Marketplace-Amazon
B2C-Marketplace-Flipkart
D2C-Marketplace-Nykaa
D2C-Marketplace-Walmar
Electronic-D2C-Apple
Electronic-D2C-boAt
Fashion-Marketplace-Farfetch
Fashion-Marketplace-Myntra
FMCG-Marketplace-Boxed
FMCG-Marketplace-Udaan
Food-Delivery-Swiggy
Food-Delivery-Uber-Eats
Quick Commerce-Blinkit
Quick Commerce-GoPuff
Social-Commerce-Meesho
Social-Commerce-Poshmark
Taxi-Aggregator
Taxi-Aggregator-Uber

Why UAE Travel Data Scraping is Critical

The UAE’s travel market is fast-changing:

Discovery & Setup

Hotels in Dubai & Abu Dhabi adjust rates by the hour.

Discovery & Setup

Airlines like Emirates & Etihad push dynamic pricing.

Discovery & Setup

OTAs compete with promotions, bundles, and ranking optimization.

Discovery & Setup

Vacation rentals (Airbnb, Dubizzle) attract investors.

Discovery & Setup

Ride-hailing apps (Careem, Uber) surge based on events.

Discovery & Setup

Attractions adjust prices by season.

Discovery & Setup

Shopping festivals spike travel demand.

Discovery & Setup

Agencies use data to optimize packages.

What We Scrape in UAE Travel Industry

1
Hotel Data Scraping UAE
Room types, amenities, availability, taxes, cancellation, promotions, loyalty rates.
2
OTA Scraping Dubai & UAE
Cross-platform rates, visibility, promotions, ranking signals.
3
Airline Fare Scraping UAE
Emirates, Etihad, FlyDubai, Air Arabia → fares, surcharges, baggage, ancillaries.
4
Vacation Rental Scraping UAE
Airbnb, Dubizzle Homes, Vrbo → occupancy, host rating, seasonal pricing.
5
Ride-Hailing Data UAE
Careem, Uber, local taxi apps → surge fees, wait times, ETA.
6
Review & Sentiment Scraping UAE
TripAdvisor, Booking.com, Google Reviews → star ratings, review text, traveler sentiment.

High-Impact UAE Travel Use Cases

Discovery & Setup

Benchmark competitor pricing daily.

Discovery & Setup

Optimize occupancy & yields.

Discovery & Setup

Analyze demand trends at city & emirate level.

Discovery & Setup

Improve promotions and loyalty packages.

Discovery & Setup

Monitor traveler reviews & brand reputation.

Discovery & Setup

Track seasonal travel demand shifts.

Discovery & Setup

Forecast airline & hotel revenues.

Discovery & Setup

Spot emerging booking trends fast.

Compliance, Scale & Delivery

Public data only

No PII, only public travel data.

Accuracy

99.9% accuracy with multi-layer QA.

Delivery Options

CSV, JSON, API, Excel.

Frequency

hourly, daily, weekly.

SLAs & 24/7

Support for enterprise clients.

Scalable Infrastructure

Built to grow with your data needs.

Industries We Serve in UAE Travel

Discovery & Setup

Hotels & Resorts

Benchmark rates, reviews, RevPAR.

Discovery & Setup

OTAs

Dynamic rate comparison & inventory monitoring

Discovery & Setup

Airlines

Fare benchmarking, ancillary tracking.

Discovery & Setup

Vacation Rentals

Rental trends for investors.

Discovery & Setup

Tourism Boards

Inbound/outbound trend analysis.

Discovery & Setup

Market Researchers

Ready-to-use datasets.

Discovery & Setup

Investors

Travel trend signals for ROI.

Discovery & Setup

Tour Operators

Tailored tours attract more bookings.

Sample Data Outputs

Date City Source Hotel_Name OTA Room_Type Base_Rate Tax_Fee Discount Availability Review_Rating Airline Route Fare Baggage_Policy Surge_Flag Ride_ETA
2025-09-05 Ras Al Khaimah MakeMyTrip Atlantis The Palm Hotels.com Twin Room 444.4 44.44 0 Sold Out 4.9 Air Arabia DXB -> SHJ 722.25 1 bag (20kg) TRUE 59
2025-09-06 Sharjah TripAdvisor Rixos Premium Hotels.com Twin Room 589.23 58.92 0 Sold Out 3.9 Air Arabia AUH -> DXB 504.44 1 bag (20kg) FALSE 43
2025-09-07 Sharjah TripAdvisor Burj Al Arab Hotels.com Suite 663.45 66.35 0 Sold Out 4.9 Air Arabia AUH -> DXB 654.63 1 bag (20kg) TRUE 54
2025-09-08 Sharjah MakeMyTrip Rixos Premium Expedia King Room 499.43 49.94 0 Limited 3.4 Emirates DXB -> SHJ 272.49 Cabin only TRUE 37

Geo Coverage – UAE

We cover all major emirates:

FAQs – UAE Travel Data Scraping

We can scrape almost all major public travel platforms used in the UAE. This includes hotels (Marriott, Hilton, Jumeirah, Rotana, Rixos, Atlantis, etc.), OTAs (Booking.com, Expedia, Agoda, Wego, MakeMyTrip), airlines (Emirates, Etihad Airways, FlyDubai, Air Arabia), and vacation rentals (Airbnb, Vrbo, Dubizzle Homes). We also cover ride-hailing services (Careem, Uber) and review sites like TripAdvisor, Google Reviews, and Booking.com. Our crawlers are fully customizable, so if you want niche sources like local DMCs (Destination Management Companies) or UAE-based package providers such as Holiday Factory and Dnata, we can add them easily.
Yes. Airline fares in the UAE—especially for Emirates, Etihad, FlyDubai, and Air Arabia—are highly dynamic. We deploy live crawlers that can fetch fare updates multiple times per hour. These crawlers capture not just the base fare, but also surcharges, baggage policies, seat class, ancillaries, and taxes. For OTAs selling airline tickets, this allows fare parity checks, and for airlines, it enables competitive benchmarking. Travel agents and corporate clients also use this data to spot fare windows and design promotional campaigns. Depending on your need, we can deliver real-time streams via API or scheduled daily fare reports.
Travel sites often have anti-bot protections. At Actowiz Solutions, we use a combination of rotating proxies, residential IP pools, headless browsers, and dynamic fingerprinting to avoid blocks. Our crawlers mimic human browsing behavior—random delays, varied user-agents, and click simulations—ensuring smooth access. If a site becomes temporarily restricted, we implement auto-retry workflows and fallback IP strategies. For high-security portals, we also use AI-based selectors that adjust parsing when layouts change. This guarantees high data continuity for clients in the UAE travel sector.
Yes. If you need past datasets—for example, last year’s hotel rates in Dubai or airline fare trends during Expo 2020—we can often provide them. For OTAs and hotels that keep historical listings public, we can backfill data. For other sites, we may integrate with third-party archives or start building your own historical dataset moving forward. Many UAE clients use historical travel data for demand forecasting, seasonality analysis, and revenue management. For example, analyzing Ramadan, Eid, or New Year’s Eve pricing trends helps hotels optimize for recurring events.
Absolutely. We don’t just collect reviews—we also analyze them. Our crawlers extract review text, star ratings, review dates, and traveler segments from sources like TripAdvisor, Booking.com, and Google Maps. We then run natural language processing (NLP) to classify reviews into positive, negative, or neutral sentiment. Clients use this for:
  • Hotels → detecting service gaps (e.g., “check-in delays” in Abu Dhabi resorts).
  • Airlines → spotting recurring issues (e.g., “lost baggage” or “seat comfort” on Etihad).
  • Tourism boards → understanding traveler feedback at an aggregate level.
  • We can deliver ready-to-use dashboards or raw review datasets depending on your workflow.
We deliver UAE travel datasets in all popular formats: CSV, Excel, JSON, Parquet. For clients with advanced workflows, we offer API feeds that integrate directly into BI tools or data lakes. We also support secure S3/GCS cloud storage drops. If you prefer, we can connect to visualization tools like Power BI or Tableau. The choice of format depends on your internal data stack—our job is to make integration seamless.
Accuracy is our top priority. Every dataset goes through multi-layer quality checks—field validations, duplicate removal, completeness checks, and schema validation. We guarantee 99.9% accuracy for UAE travel data. For example, if we scrape 10,000 hotel rates from Booking.com, our QA ensures every rate is mapped to the right room, date, and property. If any discrepancies occur, we re-run crawlers automatically. This accuracy helps travel companies avoid wrong pricing decisions or misleading reports.
Yes. We offer granular, city-level data scraping. For hotels and OTAs, you can filter listings specifically for Dubai Marina, Downtown Dubai, Palm Jumeirah, Yas Island in Abu Dhabi, or beach resorts in Fujairah. For ride-hailing, we can fetch surge pricing by city or neighborhood. For airlines, we track city-pair routes (e.g., Dubai → London, Abu Dhabi → Mumbai). Many UAE clients use city-specific datasets for localized marketing, targeted promotions, and occupancy planning.
Yes. Travel data is most useful when visualized. We can push scraped datasets directly into Power BI, Tableau, Looker, or custom dashboards. For example, a Dubai OTA might see daily price heatmaps of hotels in Bur Dubai vs Downtown. An airline might track competitor fare fluctuations over a month. We also provide APIs for live feeds, so your dashboards update automatically without manual imports. This enables UAE travel brands to make data-driven decisions instantly.
Getting started is simple:
  • 1. Share Requirements → Tell us which sites, fields, and frequency you need.
  • 2. Free Sample → We provide a test dataset to validate accuracy.
  • 3. Pilot Phase (2–4 weeks) → Run crawlers at small scale, adjust logic, finalize formats.
  • 4. Scale to Production → Move to daily/hourly scrapes with SLA-backed delivery.
Many UAE clients start with hotel benchmarking in Dubai or airline fare tracking for a few routes, then expand into multi-site, multi-city scraping once they see value.

Case Study

Industry:

Travel & Hospitality – UAE

Result

20% Boost in Hotel Bookings & 15% Increase in Airline Revenue Forecast Accuracy

★★★★★

“Actowiz Solutions enabled us to monitor dynamic hotel rates, airline fares, OTA promotions, and traveler reviews across Dubai, Abu Dhabi, and Sharjah. Their structured data delivery helped us optimize pricing strategies, improve occupancy, and strengthen revenue forecasting. The ability to track competitor promotions in real-time gave us a clear competitive advantage in the UAE market.”

Head of Revenue Management, Leading UAE Hotel Group

✓ 20% uplift in hotel bookings

✓ 15% higher airline forecast accuracy

✓ Daily OTA & rental benchmarking

Organic Tattva 1 01
GeoIp2\Model\City Object
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                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [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
                (
                    [0] => en
                )

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

        )

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

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

            [validAttributes:protected] => Array
                (
                    [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] => 216.73.216.160
                    [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
)

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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

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“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

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Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
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Iulen Ibanez
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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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