We extract attraction metadata, event schedules, hotel directories, and dining guides from Visitdubai. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Attractions & POIs objects from visitdubai.com. All fields typed and schema-versioned.
"poi_id": "VD-ATT-8492", "name": "Burj Khalifa", "category": "Sightseeing", "latitude": 25.197197, "longitude": 55.274376, "ticket_price_start": 179.0, "dubai_pass_eligible": true, "nearest_metro": "Burj Khalifa/Dubai Mall Station"
| # | poi_id | name | category | description | latitude | longitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Events & Festivals objects from visitdubai.com. All fields typed and schema-versioned.
"event_id": "EVT-2024-911", "title": "Dubai Shopping Festival", "event_type": "Festival", "start_date": "2024-12-08", "end_date": "2025-01-14", "is_free": true, "venue_name": "Citywide"
| # | event_id | title | event_type | start_date | end_date | venue_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Hotels & Accommodation objects from visitdubai.com. All fields typed and schema-versioned.
"hotel_id": "HTL-482", "name": "Atlantis The Royal", "star_rating": 5, "neighborhood": "Palm Jumeirah", "property_type": "Resort", "total_rooms": 795, "mice_facilities": true
| # | hotel_id | name | star_rating | property_type | neighborhood | address |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dining & Gastronomy objects from visitdubai.com. All fields typed and schema-versioned.
"restaurant_id": "DIN-1092", "name": "Tresind Studio", "cuisine_type": "Indian", "price_tier": "$$$$", "michelin_status": "2 Stars", "neighborhood": "Palm Jumeirah", "dress_code": "Smart Casual"
| # | restaurant_id | name | cuisine_type | price_tier | michelin_status | neighborhood |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Itineraries objects from visitdubai.com. All fields typed and schema-versioned.
"itinerary_id": "ITI-044", "title": "48 Hours in Downtown Dubai", "duration_days": 2, "target_audience": "Couples", "stops": 8, "poi_ids": "['VD-ATT-8492', 'VD-ATT-102', 'DIN-442']", "estimated_budget": "High"
| # | itinerary_id | title | duration_days | target_audience | description | stops |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Extract every dimension of the Visitdubai platform. We map the entire destination graph: from individual POIs and seasonal events to MICE venues and Michelin-starred dining.
Capture names, descriptions, operating hours, ticket prices, and category classifications for every listed point of interest.
Monitor the Dubai Calendar for upcoming concerts, trade shows, festivals, and sporting events with exact dates and ticketing links.
Extract property metadata, star ratings, neighbourhood tags, and MICE capacity indicators for hospitality market research.
Compile lists of restaurants, cafes, and lounges, including cuisine types, price tiers, and Michelin guide inclusions.
Extract precise latitude and longitude data for all physical locations to power your own spatial analysis and map interfaces.
Track which attractions are included in the Dubai Pass and monitor seasonal retail promotions like Dubai Summer Surprises.
Extract localised content versions (Arabic, English, Mandarin, Russian) by routing requests through language-specific URL paths.
Parse curated multi-day itineraries into structured sequence arrays, linking back to individual POI records.
Run pipelines monthly or weekly to capture new event announcements, hotel openings, and seasonal operating hour changes.
Brief in. Clean data out.
Specify the categories you need: attractions, events, hotels, or the entire destination catalogue.
We configure Playwright crawlers to handle map hydration, dynamic pagination, and localised content delivery.
Schema checks ensure coordinates are valid, dates parse correctly, and multi-language text encodes properly.
Structured JSON or Parquet pushed to your S3 bucket or Snowflake environment on a predefined schedule.
Modern tourism portals rely heavily on client-side rendering and dynamic APIs. Here is how we ensure reliable data extraction without manual intervention.
Visitdubai uses heavy JavaScript frameworks to load attraction details and event schedules. We use full Playwright browser sessions to wait for network idle states, ensuring all dynamic components and image galleries render before extraction.
Location coordinates are often buried in interactive map payloads rather than the primary DOM. We intercept map API responses during the page load to extract exact latitude and longitude values for every POI.
The site attempts to redirect users based on IP geolocation, which can cause inconsistent language outputs. We enforce strict locale headers and URL parameters to guarantee the data is extracted in your required language.
Event calendars and hotel directories use infinite scroll or 'load more' buttons. Our crawlers programmatically trigger these pagination events, simulating user behaviour until the entire category catalogue is exposed.
Event dates and ticket prices are often presented in unstructured natural language. We parse and normalise these fields into ISO-8601 date formats and standard numeric currency values before delivery.
Online travel agencies ingest attraction and event data to enrich their own destination guides and cross-sell experiences.
Hotel developers track property distributions, star ratings, and neighbourhood densities to identify gaps in the accommodation market.
Corporate event agencies extract venue capacities and B2B event calendars to optimise conference scheduling and location sourcing.
Machine learning teams use structured POI and itinerary data as ground-truth context for generative AI trip planners.
Analysts correlate attraction density and major event locations with retail footfall projections and commercial real estate valuations.
High-end concierge desks integrate the latest dining guides and Michelin listings directly into their internal CRM systems.
"Visitdubai holds the definitive catalogue of the emirate's tourism and hospitality infrastructure, but aggregating it requires a managed extraction layer."
Most teams underestimate the complexity of scraping official tourism portals. Visitdubai relies heavily on client-side rendering, dynamic map hydration, and geo-specific content delivery. DataFlirt handles the JavaScript execution and proxy routing so your engineers can focus on data modelling rather than maintenance.
Everything supported by our visitdubai.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Handles the heavy JavaScript rendering required by modern tourism portals, ensuring all dynamic components and lazy-loaded images are fully hydrated before extraction.
Routes traffic through UAE and global residential IPs to bypass regional blocks and ensure consistent locale delivery regardless of server origin.
Airflow schedules regular catalog refreshes, while Kubernetes clusters scale dynamically to handle thousands of POI pages concurrently.
Data delivered to where your team already works — no new tooling required.
About visitdubai.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available, non-authenticated data such as attraction details, event dates, and hotel listings is generally permissible. DataFlirt focuses exclusively on public information and does not bypass authentication walls or extract personal user data. Clients should consult their own legal counsel regarding their specific use cases.
Yes. Visitdubai offers content in multiple languages including Arabic, Mandarin, and Russian. We can configure the pipeline to target specific locale URLs to extract the translated versions of attraction and event records.
Location data is often rendered via interactive map widgets rather than plain text. Our Playwright crawlers intercept the underlying API calls that hydrate these maps, allowing us to extract precise latitude and longitude coordinates for every POI.
For event calendars, we typically recommend a weekly or bi-weekly sync to capture new announcements. For static attractions and hotel directories, a monthly refresh is usually sufficient. We configure the cadence based on your specific requirements.
We extract the high-resolution source URLs for hero images and gallery assets associated with attractions, events, and hotels. We do not download the physical image files, but provide the direct links in the final dataset.
Yes. We can run a sample extraction of a specific category, such as the top 100 attractions or the current month's events, so you can validate the schema and data quality before committing to a full pipeline.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually copying event dates and hotel directories. We build and maintain the pipeline to deliver clean, structured Visitdubai data directly to your systems.
