We extract accommodation listings, event schedules, regional itineraries, and attraction metadata from Visit Victoria. 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 objects from visitvictoria.com.au. All fields typed and schema-versioned.
"attraction_id": "ATT-9482", "title": "National Gallery of Victoria", "region": "Melbourne", "latitude": -37.8226, "longitude": 144.9685, "admission_price": "Free", "accessibility_features": "['Wheelchair access', 'Accessible toilets']"
| # | attraction_id | title | category | region | description | address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Accommodation objects from visitvictoria.com.au. All fields typed and schema-versioned.
"accommodation_id": "ACC-3104", "name": "The Langham", "property_type": "Hotel", "region": "Melbourne", "star_rating": 5, "check_in_time": "15:00", "price_from": 350.0
| # | accommodation_id | name | property_type | region | star_rating | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Events objects from visitvictoria.com.au. All fields typed and schema-versioned.
"event_id": "EVT-5591", "title": "Melbourne International Comedy Festival", "start_date": "2026-03-25", "end_date": "2026-04-19", "venue_name": "Melbourne Town Hall", "ticket_price": 35.0, "recurrence": "Annual"
| # | event_id | title | event_type | start_date | end_date | region |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Itineraries objects from visitvictoria.com.au. All fields typed and schema-versioned.
"itinerary_id": "ITN-102", "title": "Great Ocean Road Road Trip", "duration_days": 3, "region": "Great Ocean Road", "theme": "Coastal Drive", "total_distance": "243 km", "stops": "['Torquay', 'Lorne', 'Apollo Bay', 'Port Campbell']"
| # | itinerary_id | title | duration_days | region | theme | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Food & Drink objects from visitvictoria.com.au. All fields typed and schema-versioned.
"venue_id": "FD-883", "name": "Attica", "cuisine": "Modern Australian", "region": "Melbourne", "price_range": "$$$$", "dietary_options": "['Vegetarian', 'Vegan']", "booking_url": "https://attica.com.au/bookings"
| # | venue_id | name | cuisine | region | description | address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline extracts the entire Visit Victoria catalogue: destinations, seasonal events, accommodation listings, and regional itineraries. We handle pagination, map coordinate extraction, and dynamic event calendars.
Extract operating hours, admission prices, accessibility flags, and rich descriptions for every listed attraction across Victoria.
Capture start dates, end dates, venue details, and ticketing links for festivals, exhibitions, and local events.
Scrape property types, star ratings, amenity lists, check-in policies, and baseline pricing across all regional zones.
Extract precise latitude and longitude values for all venues to power custom mapping and spatial analysis.
Map multi-day road trips and walking tours, capturing stop sequences, total distances, and recommended transport modes.
Extract restaurant details including cuisine types, dietary options, price brackets, and reservation links.
Capture detailed accessibility features for venues, including wheelchair access, sensory guides, and accessible parking.
Extract direct phone numbers, official websites, and external booking URLs for local tourism operators.
Monitor event cancellations, updated operating hours, and new attraction listings with hash-based diff tracking.
Brief in. Clean data out.
Specify target regions, categories, or event date ranges. We map the extraction schema to your requirements.
We configure Scrapy crawlers to handle Visit Victoria pagination, dynamic calendars, and map data extraction.
Schema validation, null-rate checks on coordinates, and event date normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting destination data requires parsing dynamic calendars and map interfaces. Here is how we maintain data integrity.
Visit Victoria uses dynamic calendar widgets for event listings. We execute JavaScript to paginate through upcoming months, extracting and normalising start and end dates into standard ISO 8601 formats.
Location data is often embedded in map widget configurations rather than standard text. We parse the underlying JSON payloads to extract precise latitude and longitude coordinates for every venue.
Victoria is divided into specific tourism regions like the Great Ocean Road and Yarra Valley. We capture the exact hierarchical taxonomy for every listing, ensuring accurate regional filtering in your database.
Tourism data changes seasonally. We maintain a hash index of all listings. Subsequent runs only push diffs, capturing updated operating hours or new event announcements without duplicating static attraction data.
Listings are populated by individual operators, leading to inconsistent formatting. Our pipeline standardises phone numbers, addresses, and price formats before delivery.
Online travel agencies ingest regional accommodation and attraction data to enrich their own destination guides.
Travel tech startups train recommendation engines on verified itineraries, operating hours, and accessibility flags.
Consultancies analyse regional tourism density, accommodation supply, and event distribution across Victoria.
Agencies monitor major regional events and festivals to avoid scheduling conflicts or identify partnership opportunities.
Councils track the visibility of local operators and attractions on the state tourism portal.
Logistics and transport companies align service schedules with major regional events and peak tourism seasons.
"Visit Victoria holds the definitive tourism dataset for the state, but extracting structured coordinates, event schedules, and operator details requires a dedicated pipeline."
Tourism aggregators underestimate the complexity of regional destination data. Extracting reliable operating hours, seasonal pricing, and accessibility flags requires constant schema maintenance. DataFlirt manages this infrastructure so your engineering team can focus on product development.
Everything supported by our visitvictoria.com.au 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 renders dynamic event calendars and map interfaces to extract embedded JSON payloads.
We route requests through Australian IP pools to ensure accurate regional content delivery and avoid geo-blocking.
Pipelines execute on AWS infrastructure. Airflow manages scheduling for weekly event updates and monthly catalogue refreshes.
Data delivered to where your team already works — no new tooling required.
About visitvictoria.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available tourism data is generally permissible. DataFlirt extracts only public, non-authenticated information such as public event schedules, attraction details, and business contact information. We do not bypass authentication walls or extract personal user data.
Event pipelines typically run on a weekly or daily schedule to capture new announcements, date changes, and cancellations. Static attraction data can be refreshed monthly to reduce unnecessary compute overhead.
Yes. We parse the underlying map widget configurations to extract exact latitude and longitude values for all attractions, accommodations, and event venues.
Yes. Our change detection system flags records that have been removed from the active site or have updated date fields, allowing you to update your own database accordingly.
We capture data from the moment your pipeline is commissioned. We cannot extract events that have already been removed from the live site prior to the pipeline start date.
Yes. We provide a sample run covering a specific region or category to validate schema fit and field completeness before you commit to a production pipeline.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full state-wide extraction or a targeted feed of upcoming Melbourne events, we build and operate the pipeline. Tell us what you need.
