UAE Travel Data Scraping Services | Hotels, Airlines & OTA Intelligence

Date	City	Source	Hotel_Name	OTA	Room_Type	Base_Rate	Tax_Fee	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	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	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	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	Limited	3.4	Emirates	DXB -> SHJ	272.49	Cabin only	TRUE	37

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.