We extract events, hotels, dining venues, and cultural landmarks from Visit Qatar. 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 Events & Festivals objects from visitqatar.com. All fields typed and schema-versioned.
"event_id": "EVT-8492", "title": "Qatar International Food Festival", "start_date": "2026-03-15", "end_date": "2026-03-25", "location_name": "Al Bidda Park", "category": "Food & Drink", "pricing_tier": "Free Entry"
| # | event_id | title | start_date | end_date | location_name | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Accommodations objects from visitqatar.com. All fields typed and schema-versioned.
"hotel_id": "HTL-102", "name": "Mondrian Doha", "property_type": "Hotel", "star_rating": 5, "district": "West Bay Lagoon", "amenities": "['Pool', 'Spa', 'Free WiFi', 'Gym']", "latitude": 25.3784, "longitude": 51.5306
| # | hotel_id | name | property_type | star_rating | district | amenities |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Points of Interest objects from visitqatar.com. All fields typed and schema-versioned.
"poi_id": "POI-445", "name": "National Museum of Qatar", "category": "Museums", "district": "Corniche", "entry_fee": "50 QAR", "latitude": 25.2861, "longitude": 51.5496, "official_website": "nmoq.org.qa"
| # | poi_id | name | category | district | opening_hours | entry_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Dining Guides objects from visitqatar.com. All fields typed and schema-versioned.
"restaurant_id": "DIN-883", "name": "Parisa Souq Waqif", "cuisine": "Persian", "price_tier": "$$$", "district": "Souq Waqif", "reservation_required": true, "phone": "+974 4441 1494", "latitude": 25.2882
| # | restaurant_id | name | cuisine | price_tier | district | reservation_required |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Itineraries objects from visitqatar.com. All fields typed and schema-versioned.
"itinerary_id": "ITN-092", "title": "48 Hours in Doha", "duration_days": 2, "target_audience": "Couples", "stops_count": 8, "tags": "['Culture', 'Shopping', 'Dining']", "language": "en"
| # | itinerary_id | title | duration_days | target_audience | stops_count | route_map_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Visit Qatar scraper handles dynamic maps, multilingual content, and seasonal event schedules, converting complex portal data into clean, queryable records.
Capture museums, souqs, stadiums, and cultural landmarks with full descriptions, opening hours, and contact details.
Track upcoming festivals, sporting events, and exhibitions with dates, ticketing links, and venue coordinates.
Extract hotel directories, star ratings, district locations, and amenity lists across all listed properties.
Parse culinary guides by cuisine type, price tier, and location, including reservation requirements.
Deconstruct multi-day travel itineraries into individual stops, routing logic, and target demographic data.
Extract precise latitude and longitude coordinates from embedded maps for spatial analysis.
Scrape content in both English and Arabic, maintaining relationships between translated records.
Extract high-resolution image URLs for POIs and events, suitable for downstream application display.
Run pipelines daily or weekly to capture newly announced events and updated seasonal opening hours.
Brief in. Clean data out.
Select the data domains you need: events, hotels, POIs, or itineraries. We map the required schema.
We configure Playwright crawlers to handle dynamic map rendering and pagination on visitqatar.com.
Schema validation, null-rate checks, and geocoordinate formatting verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on your cadence.
Modern tourism portals rely heavily on client-side rendering and interactive maps. Here is how we ensure reliable data extraction.
Visit Qatar relies on JavaScript frameworks to load listings, filter results, and render maps. We run full Playwright browser sessions to ensure all client-side hydrated content is captured accurately.
Location data is often locked inside interactive map widgets. Our pipelines intercept the background API calls powering these maps to extract precise latitude and longitude coordinates for every POI.
Tourism sites frequently update their layouts for major seasons or events like the World Cup. Our selector strategy uses multiple fallback chains to ensure pipelines survive front-end redesigns.
We configure crawlers to extract both language variants of the site simultaneously, joining the records via unique identifiers to provide a complete bilingual dataset.
Events get rescheduled or cancelled. We maintain a hash index of last-seen values and emit diffs when dates, venues, or ticketing details change, keeping your downstream applications accurate.
Online travel agencies integrate official POI descriptions and event calendars to enrich their destination guides.
Mobile developers use structured geodata and high-res imagery to build interactive city guides and mapping tools.
Consultancies analyse accommodation density and event frequency to map tourism infrastructure development.
Local operators track competing events and festival schedules to optimise their own programming dates.
Hotels monitor official dining guides and competitor amenity listings to benchmark their local positioning.
LLM developers ingest structured itinerary data to train conversational agents on accurate, localized travel recommendations.
"Visit Qatar aggregates the entire tourism ecosystem of the country, but extracting that data for external applications requires navigating dynamic maps and localised content."
Scraping national tourism portals requires handling heavy JavaScript frameworks, interactive maps, and seasonal layout shifts. DataFlirt manages the proxy rotation, JavaScript execution, and schema maintenance so your engineers can focus on building travel products, not debugging crawler infrastructure.
Everything supported by our visitqatar.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.
Scrapy handles crawl orchestration and deduplication. Playwright executes the heavy JavaScript required to render Visit Qatar's maps and dynamic filters.
We maintain global proxy pools to distribute requests evenly, preventing rate limits and ensuring consistent access to all localized endpoints.
Pipelines run on AWS infrastructure. Airflow handles scheduling for weekly event syncs, storing all state in managed Postgres databases.
Data delivered to where your team already works — no new tooling required.
About visitqatar.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available tourism information is generally permissible. DataFlirt extracts only public POI, event, and accommodation data without bypassing authentication walls or extracting PII. Clients should consult their legal counsel regarding specific commercial use cases.
We use Playwright to execute the JavaScript that renders the maps, whilst simultaneously intercepting the underlying API network requests to extract precise latitude and longitude coordinates.
Yes. We configure pipelines to target specific language subdirectories or toggle language parameters, allowing us to deliver a unified dataset with fields mapped to both languages.
Pipelines can be configured to run daily or weekly depending on your requirements. Change detection ensures you only process updates when event dates or details are modified.
By default, the pipeline extracts the outbound ticket URL provided on the event page. Scraping the external ticketing provider requires a separate pipeline scoped to that specific domain.
Yes. We provide a sample extraction of up to 100 POIs or events during the scoping phase, allowing you to validate the schema and data quality before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full catalogue export of Qatar's POIs or an ongoing sync of event schedules, we build and operate the pipeline. Tell us your requirements.
